tensorflow.tensorforest.FertileStatsOuterClass Maven / Gradle / Ivy
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// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: tensorflow/contrib/tensor_forest/proto/fertile_stats.proto
package tensorflow.tensorforest;
public final class FertileStatsOuterClass {
private FertileStatsOuterClass() {}
public static void registerAllExtensions(
com.google.protobuf.ExtensionRegistryLite registry) {
}
public static void registerAllExtensions(
com.google.protobuf.ExtensionRegistry registry) {
registerAllExtensions(
(com.google.protobuf.ExtensionRegistryLite) registry);
}
public interface FertileStatsOrBuilder extends
// @@protoc_insertion_point(interface_extends:tensorflow.tensorforest.FertileStats)
com.google.protobuf.MessageOrBuilder {
/**
*
* Tracks stats for each node. node_to_slot[i] is the FertileSlot for node i.
* This may be sized to max_nodes initially, or grow dynamically as needed.
*
*
* repeated .tensorflow.tensorforest.FertileSlot node_to_slot = 1;
*/
java.util.List
getNodeToSlotList();
/**
*
* Tracks stats for each node. node_to_slot[i] is the FertileSlot for node i.
* This may be sized to max_nodes initially, or grow dynamically as needed.
*
*
* repeated .tensorflow.tensorforest.FertileSlot node_to_slot = 1;
*/
tensorflow.tensorforest.FertileStatsOuterClass.FertileSlot getNodeToSlot(int index);
/**
*
* Tracks stats for each node. node_to_slot[i] is the FertileSlot for node i.
* This may be sized to max_nodes initially, or grow dynamically as needed.
*
*
* repeated .tensorflow.tensorforest.FertileSlot node_to_slot = 1;
*/
int getNodeToSlotCount();
/**
*
* Tracks stats for each node. node_to_slot[i] is the FertileSlot for node i.
* This may be sized to max_nodes initially, or grow dynamically as needed.
*
*
* repeated .tensorflow.tensorforest.FertileSlot node_to_slot = 1;
*/
java.util.List
getNodeToSlotOrBuilderList();
/**
*
* Tracks stats for each node. node_to_slot[i] is the FertileSlot for node i.
* This may be sized to max_nodes initially, or grow dynamically as needed.
*
*
* repeated .tensorflow.tensorforest.FertileSlot node_to_slot = 1;
*/
tensorflow.tensorforest.FertileStatsOuterClass.FertileSlotOrBuilder getNodeToSlotOrBuilder(
int index);
}
/**
* Protobuf type {@code tensorflow.tensorforest.FertileStats}
*/
public static final class FertileStats extends
com.google.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:tensorflow.tensorforest.FertileStats)
FertileStatsOrBuilder {
private static final long serialVersionUID = 0L;
// Use FertileStats.newBuilder() to construct.
private FertileStats(com.google.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private FertileStats() {
nodeToSlot_ = java.util.Collections.emptyList();
}
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this();
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makeExtensionsImmutable();
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public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return tensorflow.tensorforest.FertileStatsOuterClass.internal_static_tensorflow_tensorforest_FertileStats_descriptor;
}
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protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
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public static final int NODE_TO_SLOT_FIELD_NUMBER = 1;
private java.util.List nodeToSlot_;
/**
*
* Tracks stats for each node. node_to_slot[i] is the FertileSlot for node i.
* This may be sized to max_nodes initially, or grow dynamically as needed.
*
*
* repeated .tensorflow.tensorforest.FertileSlot node_to_slot = 1;
*/
public java.util.List getNodeToSlotList() {
return nodeToSlot_;
}
/**
*
* Tracks stats for each node. node_to_slot[i] is the FertileSlot for node i.
* This may be sized to max_nodes initially, or grow dynamically as needed.
*
*
* repeated .tensorflow.tensorforest.FertileSlot node_to_slot = 1;
*/
public java.util.List
getNodeToSlotOrBuilderList() {
return nodeToSlot_;
}
/**
*
* Tracks stats for each node. node_to_slot[i] is the FertileSlot for node i.
* This may be sized to max_nodes initially, or grow dynamically as needed.
*
*
* repeated .tensorflow.tensorforest.FertileSlot node_to_slot = 1;
*/
public int getNodeToSlotCount() {
return nodeToSlot_.size();
}
/**
*
* Tracks stats for each node. node_to_slot[i] is the FertileSlot for node i.
* This may be sized to max_nodes initially, or grow dynamically as needed.
*
*
* repeated .tensorflow.tensorforest.FertileSlot node_to_slot = 1;
*/
public tensorflow.tensorforest.FertileStatsOuterClass.FertileSlot getNodeToSlot(int index) {
return nodeToSlot_.get(index);
}
/**
*
* Tracks stats for each node. node_to_slot[i] is the FertileSlot for node i.
* This may be sized to max_nodes initially, or grow dynamically as needed.
*
*
* repeated .tensorflow.tensorforest.FertileSlot node_to_slot = 1;
*/
public tensorflow.tensorforest.FertileStatsOuterClass.FertileSlotOrBuilder getNodeToSlotOrBuilder(
int index) {
return nodeToSlot_.get(index);
}
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@java.lang.Override
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byte isInitialized = memoizedIsInitialized;
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if (isInitialized == 0) return false;
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@java.lang.Override
public boolean equals(final java.lang.Object obj) {
if (obj == this) {
return true;
}
if (!(obj instanceof tensorflow.tensorforest.FertileStatsOuterClass.FertileStats)) {
return super.equals(obj);
}
tensorflow.tensorforest.FertileStatsOuterClass.FertileStats other = (tensorflow.tensorforest.FertileStatsOuterClass.FertileStats) obj;
boolean result = true;
result = result && getNodeToSlotList()
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result = result && unknownFields.equals(other.unknownFields);
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@java.lang.Override
public int hashCode() {
if (memoizedHashCode != 0) {
return memoizedHashCode;
}
int hash = 41;
hash = (19 * hash) + getDescriptor().hashCode();
if (getNodeToSlotCount() > 0) {
hash = (37 * hash) + NODE_TO_SLOT_FIELD_NUMBER;
hash = (53 * hash) + getNodeToSlotList().hashCode();
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public static tensorflow.tensorforest.FertileStatsOuterClass.FertileStats parseFrom(
java.nio.ByteBuffer data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
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public static tensorflow.tensorforest.FertileStatsOuterClass.FertileStats parseFrom(
java.nio.ByteBuffer data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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return PARSER.parseFrom(data, extensionRegistry);
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public static tensorflow.tensorforest.FertileStatsOuterClass.FertileStats parseFrom(
com.google.protobuf.ByteString data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
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public static tensorflow.tensorforest.FertileStatsOuterClass.FertileStats parseFrom(
com.google.protobuf.ByteString data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
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public static tensorflow.tensorforest.FertileStatsOuterClass.FertileStats parseFrom(byte[] data)
throws com.google.protobuf.InvalidProtocolBufferException {
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public static tensorflow.tensorforest.FertileStatsOuterClass.FertileStats parseFrom(
byte[] data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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return PARSER.parseFrom(data, extensionRegistry);
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public static tensorflow.tensorforest.FertileStatsOuterClass.FertileStats parseFrom(java.io.InputStream input)
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public static tensorflow.tensorforest.FertileStatsOuterClass.FertileStats parseFrom(
java.io.InputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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com.google.protobuf.CodedInputStream input)
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public static tensorflow.tensorforest.FertileStatsOuterClass.FertileStats parseFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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return com.google.protobuf.GeneratedMessageV3
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protected Builder newBuilderForType(
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/**
* Protobuf type {@code tensorflow.tensorforest.FertileStats}
*/
public static final class Builder extends
com.google.protobuf.GeneratedMessageV3.Builder implements
// @@protoc_insertion_point(builder_implements:tensorflow.tensorforest.FertileStats)
tensorflow.tensorforest.FertileStatsOuterClass.FertileStatsOrBuilder {
public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return tensorflow.tensorforest.FertileStatsOuterClass.internal_static_tensorflow_tensorforest_FertileStats_descriptor;
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tensorflow.tensorforest.FertileStatsOuterClass.FertileStats.class, tensorflow.tensorforest.FertileStatsOuterClass.FertileStats.Builder.class);
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private void maybeForceBuilderInitialization() {
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com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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tensorflow.tensorforest.FertileStatsOuterClass.FertileSlot, tensorflow.tensorforest.FertileStatsOuterClass.FertileSlot.Builder, tensorflow.tensorforest.FertileStatsOuterClass.FertileSlotOrBuilder> nodeToSlotBuilder_;
/**
*
* Tracks stats for each node. node_to_slot[i] is the FertileSlot for node i.
* This may be sized to max_nodes initially, or grow dynamically as needed.
*
*
* repeated .tensorflow.tensorforest.FertileSlot node_to_slot = 1;
*/
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}
/**
*
* Tracks stats for each node. node_to_slot[i] is the FertileSlot for node i.
* This may be sized to max_nodes initially, or grow dynamically as needed.
*
*
* repeated .tensorflow.tensorforest.FertileSlot node_to_slot = 1;
*/
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}
/**
*
* Tracks stats for each node. node_to_slot[i] is the FertileSlot for node i.
* This may be sized to max_nodes initially, or grow dynamically as needed.
*
*
* repeated .tensorflow.tensorforest.FertileSlot node_to_slot = 1;
*/
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return nodeToSlotBuilder_.getMessage(index);
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}
/**
*
* Tracks stats for each node. node_to_slot[i] is the FertileSlot for node i.
* This may be sized to max_nodes initially, or grow dynamically as needed.
*
*
* repeated .tensorflow.tensorforest.FertileSlot node_to_slot = 1;
*/
public Builder setNodeToSlot(
int index, tensorflow.tensorforest.FertileStatsOuterClass.FertileSlot value) {
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throw new NullPointerException();
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onChanged();
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/**
*
* Tracks stats for each node. node_to_slot[i] is the FertileSlot for node i.
* This may be sized to max_nodes initially, or grow dynamically as needed.
*
*
* repeated .tensorflow.tensorforest.FertileSlot node_to_slot = 1;
*/
public Builder setNodeToSlot(
int index, tensorflow.tensorforest.FertileStatsOuterClass.FertileSlot.Builder builderForValue) {
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nodeToSlot_.set(index, builderForValue.build());
onChanged();
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/**
*
* Tracks stats for each node. node_to_slot[i] is the FertileSlot for node i.
* This may be sized to max_nodes initially, or grow dynamically as needed.
*
*
* repeated .tensorflow.tensorforest.FertileSlot node_to_slot = 1;
*/
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throw new NullPointerException();
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ensureNodeToSlotIsMutable();
nodeToSlot_.add(value);
onChanged();
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nodeToSlotBuilder_.addMessage(value);
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/**
*
* Tracks stats for each node. node_to_slot[i] is the FertileSlot for node i.
* This may be sized to max_nodes initially, or grow dynamically as needed.
*
*
* repeated .tensorflow.tensorforest.FertileSlot node_to_slot = 1;
*/
public Builder addNodeToSlot(
int index, tensorflow.tensorforest.FertileStatsOuterClass.FertileSlot value) {
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throw new NullPointerException();
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nodeToSlot_.add(index, value);
onChanged();
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/**
*
* Tracks stats for each node. node_to_slot[i] is the FertileSlot for node i.
* This may be sized to max_nodes initially, or grow dynamically as needed.
*
*
* repeated .tensorflow.tensorforest.FertileSlot node_to_slot = 1;
*/
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tensorflow.tensorforest.FertileStatsOuterClass.FertileSlot.Builder builderForValue) {
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ensureNodeToSlotIsMutable();
nodeToSlot_.add(builderForValue.build());
onChanged();
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nodeToSlotBuilder_.addMessage(builderForValue.build());
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return this;
}
/**
*
* Tracks stats for each node. node_to_slot[i] is the FertileSlot for node i.
* This may be sized to max_nodes initially, or grow dynamically as needed.
*
*
* repeated .tensorflow.tensorforest.FertileSlot node_to_slot = 1;
*/
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int index, tensorflow.tensorforest.FertileStatsOuterClass.FertileSlot.Builder builderForValue) {
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ensureNodeToSlotIsMutable();
nodeToSlot_.add(index, builderForValue.build());
onChanged();
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nodeToSlotBuilder_.addMessage(index, builderForValue.build());
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return this;
}
/**
*
* Tracks stats for each node. node_to_slot[i] is the FertileSlot for node i.
* This may be sized to max_nodes initially, or grow dynamically as needed.
*
*
* repeated .tensorflow.tensorforest.FertileSlot node_to_slot = 1;
*/
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java.lang.Iterable values) {
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onChanged();
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/**
*
* Tracks stats for each node. node_to_slot[i] is the FertileSlot for node i.
* This may be sized to max_nodes initially, or grow dynamically as needed.
*
*
* repeated .tensorflow.tensorforest.FertileSlot node_to_slot = 1;
*/
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bitField0_ = (bitField0_ & ~0x00000001);
onChanged();
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/**
*
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nodeToSlot_.remove(index);
onChanged();
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nodeToSlotBuilder_.remove(index);
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return this;
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/**
*
* Tracks stats for each node. node_to_slot[i] is the FertileSlot for node i.
* This may be sized to max_nodes initially, or grow dynamically as needed.
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*
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public interface GiniStatsOrBuilder extends
// @@protoc_insertion_point(interface_extends:tensorflow.tensorforest.GiniStats)
com.google.protobuf.MessageOrBuilder {
/**
*
* This allows us to quickly track and calculate impurity (classification)
* by storing the sum of input weights and the sum of the squares of the
* input weights. Weighted gini is then: 1 - (square / sum * sum).
* Updates to these numbers are:
* old_i = leaf->value(label)
* new_i = old_i + incoming_weight
* sum -> sum + incoming_weight
* square -> square - (old_i ^ 2) + (new_i ^ 2)
* total_left_sum -> total_left_sum - old_left_i * old_total_i +
* new_left_i * new_total_i
*
*
* float square = 2;
*/
float getSquare();
}
/**
* Protobuf type {@code tensorflow.tensorforest.GiniStats}
*/
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// @@protoc_insertion_point(message_implements:tensorflow.tensorforest.GiniStats)
GiniStatsOrBuilder {
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/**
*
* This allows us to quickly track and calculate impurity (classification)
* by storing the sum of input weights and the sum of the squares of the
* input weights. Weighted gini is then: 1 - (square / sum * sum).
* Updates to these numbers are:
* old_i = leaf->value(label)
* new_i = old_i + incoming_weight
* sum -> sum + incoming_weight
* square -> square - (old_i ^ 2) + (new_i ^ 2)
* total_left_sum -> total_left_sum - old_left_i * old_total_i +
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// @@protoc_insertion_point(builder_implements:tensorflow.tensorforest.GiniStats)
tensorflow.tensorforest.FertileStatsOuterClass.GiniStatsOrBuilder {
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private float square_ ;
/**
*
* This allows us to quickly track and calculate impurity (classification)
* by storing the sum of input weights and the sum of the squares of the
* input weights. Weighted gini is then: 1 - (square / sum * sum).
* Updates to these numbers are:
* old_i = leaf->value(label)
* new_i = old_i + incoming_weight
* sum -> sum + incoming_weight
* square -> square - (old_i ^ 2) + (new_i ^ 2)
* total_left_sum -> total_left_sum - old_left_i * old_total_i +
* new_left_i * new_total_i
*
*
* float square = 2;
*/
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return square_;
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/**
*
* This allows us to quickly track and calculate impurity (classification)
* by storing the sum of input weights and the sum of the squares of the
* input weights. Weighted gini is then: 1 - (square / sum * sum).
* Updates to these numbers are:
* old_i = leaf->value(label)
* new_i = old_i + incoming_weight
* sum -> sum + incoming_weight
* square -> square - (old_i ^ 2) + (new_i ^ 2)
* total_left_sum -> total_left_sum - old_left_i * old_total_i +
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onChanged();
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/**
*
* This allows us to quickly track and calculate impurity (classification)
* by storing the sum of input weights and the sum of the squares of the
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* Updates to these numbers are:
* old_i = leaf->value(label)
* new_i = old_i + incoming_weight
* sum -> sum + incoming_weight
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// @@protoc_insertion_point(class_scope:tensorflow.tensorforest.GiniStats)
private static final tensorflow.tensorforest.FertileStatsOuterClass.GiniStats DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new tensorflow.tensorforest.FertileStatsOuterClass.GiniStats();
}
public static tensorflow.tensorforest.FertileStatsOuterClass.GiniStats getDefaultInstance() {
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public interface LeafStatOrBuilder extends
// @@protoc_insertion_point(interface_extends:tensorflow.tensorforest.LeafStat)
com.google.protobuf.MessageOrBuilder {
/**
*
* The sum of the weights of the training examples that we have seen.
* This is here, outside of the leaf_stat oneof, because almost all
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*
*
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*/
float getWeightSum();
/**
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*/
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*/
tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.GiniImpurityClassificationStats getClassification();
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*/
tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.GiniImpurityClassificationStatsOrBuilder getClassificationOrBuilder();
/**
*
* TODO(thomaswc): Add in v5's SparseClassStats.
*
*
* .tensorflow.tensorforest.LeafStat.LeastSquaresRegressionStats regression = 2;
*/
boolean hasRegression();
/**
*
* TODO(thomaswc): Add in v5's SparseClassStats.
*
*
* .tensorflow.tensorforest.LeafStat.LeastSquaresRegressionStats regression = 2;
*/
tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats getRegression();
/**
*
* TODO(thomaswc): Add in v5's SparseClassStats.
*
*
* .tensorflow.tensorforest.LeafStat.LeastSquaresRegressionStats regression = 2;
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tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStatsOrBuilder getRegressionOrBuilder();
public tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeafStatCase getLeafStatCase();
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/**
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*/
public static final class LeafStat extends
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// @@protoc_insertion_point(message_implements:tensorflow.tensorforest.LeafStat)
LeafStatOrBuilder {
private static final long serialVersionUID = 0L;
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private LeafStat(com.google.protobuf.GeneratedMessageV3.Builder builder) {
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private LeafStat() {
weightSum_ = 0F;
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return this;
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private com.google.protobuf.SingleFieldBuilderV3<
tensorflow.decision_trees.GenericTreeModel.Vector, tensorflow.decision_trees.GenericTreeModel.Vector.Builder, tensorflow.decision_trees.GenericTreeModel.VectorOrBuilder> denseCountsBuilder_;
/**
* .tensorflow.decision_trees.Vector dense_counts = 1;
*/
public boolean hasDenseCounts() {
return countsCase_ == 1;
}
/**
* .tensorflow.decision_trees.Vector dense_counts = 1;
*/
public tensorflow.decision_trees.GenericTreeModel.Vector getDenseCounts() {
if (denseCountsBuilder_ == null) {
if (countsCase_ == 1) {
return (tensorflow.decision_trees.GenericTreeModel.Vector) counts_;
}
return tensorflow.decision_trees.GenericTreeModel.Vector.getDefaultInstance();
} else {
if (countsCase_ == 1) {
return denseCountsBuilder_.getMessage();
}
return tensorflow.decision_trees.GenericTreeModel.Vector.getDefaultInstance();
}
}
/**
* .tensorflow.decision_trees.Vector dense_counts = 1;
*/
public Builder setDenseCounts(tensorflow.decision_trees.GenericTreeModel.Vector value) {
if (denseCountsBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
counts_ = value;
onChanged();
} else {
denseCountsBuilder_.setMessage(value);
}
countsCase_ = 1;
return this;
}
/**
* .tensorflow.decision_trees.Vector dense_counts = 1;
*/
public Builder setDenseCounts(
tensorflow.decision_trees.GenericTreeModel.Vector.Builder builderForValue) {
if (denseCountsBuilder_ == null) {
counts_ = builderForValue.build();
onChanged();
} else {
denseCountsBuilder_.setMessage(builderForValue.build());
}
countsCase_ = 1;
return this;
}
/**
* .tensorflow.decision_trees.Vector dense_counts = 1;
*/
public Builder mergeDenseCounts(tensorflow.decision_trees.GenericTreeModel.Vector value) {
if (denseCountsBuilder_ == null) {
if (countsCase_ == 1 &&
counts_ != tensorflow.decision_trees.GenericTreeModel.Vector.getDefaultInstance()) {
counts_ = tensorflow.decision_trees.GenericTreeModel.Vector.newBuilder((tensorflow.decision_trees.GenericTreeModel.Vector) counts_)
.mergeFrom(value).buildPartial();
} else {
counts_ = value;
}
onChanged();
} else {
if (countsCase_ == 1) {
denseCountsBuilder_.mergeFrom(value);
}
denseCountsBuilder_.setMessage(value);
}
countsCase_ = 1;
return this;
}
/**
* .tensorflow.decision_trees.Vector dense_counts = 1;
*/
public Builder clearDenseCounts() {
if (denseCountsBuilder_ == null) {
if (countsCase_ == 1) {
countsCase_ = 0;
counts_ = null;
onChanged();
}
} else {
if (countsCase_ == 1) {
countsCase_ = 0;
counts_ = null;
}
denseCountsBuilder_.clear();
}
return this;
}
/**
* .tensorflow.decision_trees.Vector dense_counts = 1;
*/
public tensorflow.decision_trees.GenericTreeModel.Vector.Builder getDenseCountsBuilder() {
return getDenseCountsFieldBuilder().getBuilder();
}
/**
* .tensorflow.decision_trees.Vector dense_counts = 1;
*/
public tensorflow.decision_trees.GenericTreeModel.VectorOrBuilder getDenseCountsOrBuilder() {
if ((countsCase_ == 1) && (denseCountsBuilder_ != null)) {
return denseCountsBuilder_.getMessageOrBuilder();
} else {
if (countsCase_ == 1) {
return (tensorflow.decision_trees.GenericTreeModel.Vector) counts_;
}
return tensorflow.decision_trees.GenericTreeModel.Vector.getDefaultInstance();
}
}
/**
* .tensorflow.decision_trees.Vector dense_counts = 1;
*/
private com.google.protobuf.SingleFieldBuilderV3<
tensorflow.decision_trees.GenericTreeModel.Vector, tensorflow.decision_trees.GenericTreeModel.Vector.Builder, tensorflow.decision_trees.GenericTreeModel.VectorOrBuilder>
getDenseCountsFieldBuilder() {
if (denseCountsBuilder_ == null) {
if (!(countsCase_ == 1)) {
counts_ = tensorflow.decision_trees.GenericTreeModel.Vector.getDefaultInstance();
}
denseCountsBuilder_ = new com.google.protobuf.SingleFieldBuilderV3<
tensorflow.decision_trees.GenericTreeModel.Vector, tensorflow.decision_trees.GenericTreeModel.Vector.Builder, tensorflow.decision_trees.GenericTreeModel.VectorOrBuilder>(
(tensorflow.decision_trees.GenericTreeModel.Vector) counts_,
getParentForChildren(),
isClean());
counts_ = null;
}
countsCase_ = 1;
onChanged();;
return denseCountsBuilder_;
}
private com.google.protobuf.SingleFieldBuilderV3<
tensorflow.decision_trees.GenericTreeModel.SparseVector, tensorflow.decision_trees.GenericTreeModel.SparseVector.Builder, tensorflow.decision_trees.GenericTreeModel.SparseVectorOrBuilder> sparseCountsBuilder_;
/**
* .tensorflow.decision_trees.SparseVector sparse_counts = 2;
*/
public boolean hasSparseCounts() {
return countsCase_ == 2;
}
/**
* .tensorflow.decision_trees.SparseVector sparse_counts = 2;
*/
public tensorflow.decision_trees.GenericTreeModel.SparseVector getSparseCounts() {
if (sparseCountsBuilder_ == null) {
if (countsCase_ == 2) {
return (tensorflow.decision_trees.GenericTreeModel.SparseVector) counts_;
}
return tensorflow.decision_trees.GenericTreeModel.SparseVector.getDefaultInstance();
} else {
if (countsCase_ == 2) {
return sparseCountsBuilder_.getMessage();
}
return tensorflow.decision_trees.GenericTreeModel.SparseVector.getDefaultInstance();
}
}
/**
* .tensorflow.decision_trees.SparseVector sparse_counts = 2;
*/
public Builder setSparseCounts(tensorflow.decision_trees.GenericTreeModel.SparseVector value) {
if (sparseCountsBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
counts_ = value;
onChanged();
} else {
sparseCountsBuilder_.setMessage(value);
}
countsCase_ = 2;
return this;
}
/**
* .tensorflow.decision_trees.SparseVector sparse_counts = 2;
*/
public Builder setSparseCounts(
tensorflow.decision_trees.GenericTreeModel.SparseVector.Builder builderForValue) {
if (sparseCountsBuilder_ == null) {
counts_ = builderForValue.build();
onChanged();
} else {
sparseCountsBuilder_.setMessage(builderForValue.build());
}
countsCase_ = 2;
return this;
}
/**
* .tensorflow.decision_trees.SparseVector sparse_counts = 2;
*/
public Builder mergeSparseCounts(tensorflow.decision_trees.GenericTreeModel.SparseVector value) {
if (sparseCountsBuilder_ == null) {
if (countsCase_ == 2 &&
counts_ != tensorflow.decision_trees.GenericTreeModel.SparseVector.getDefaultInstance()) {
counts_ = tensorflow.decision_trees.GenericTreeModel.SparseVector.newBuilder((tensorflow.decision_trees.GenericTreeModel.SparseVector) counts_)
.mergeFrom(value).buildPartial();
} else {
counts_ = value;
}
onChanged();
} else {
if (countsCase_ == 2) {
sparseCountsBuilder_.mergeFrom(value);
}
sparseCountsBuilder_.setMessage(value);
}
countsCase_ = 2;
return this;
}
/**
* .tensorflow.decision_trees.SparseVector sparse_counts = 2;
*/
public Builder clearSparseCounts() {
if (sparseCountsBuilder_ == null) {
if (countsCase_ == 2) {
countsCase_ = 0;
counts_ = null;
onChanged();
}
} else {
if (countsCase_ == 2) {
countsCase_ = 0;
counts_ = null;
}
sparseCountsBuilder_.clear();
}
return this;
}
/**
* .tensorflow.decision_trees.SparseVector sparse_counts = 2;
*/
public tensorflow.decision_trees.GenericTreeModel.SparseVector.Builder getSparseCountsBuilder() {
return getSparseCountsFieldBuilder().getBuilder();
}
/**
* .tensorflow.decision_trees.SparseVector sparse_counts = 2;
*/
public tensorflow.decision_trees.GenericTreeModel.SparseVectorOrBuilder getSparseCountsOrBuilder() {
if ((countsCase_ == 2) && (sparseCountsBuilder_ != null)) {
return sparseCountsBuilder_.getMessageOrBuilder();
} else {
if (countsCase_ == 2) {
return (tensorflow.decision_trees.GenericTreeModel.SparseVector) counts_;
}
return tensorflow.decision_trees.GenericTreeModel.SparseVector.getDefaultInstance();
}
}
/**
* .tensorflow.decision_trees.SparseVector sparse_counts = 2;
*/
private com.google.protobuf.SingleFieldBuilderV3<
tensorflow.decision_trees.GenericTreeModel.SparseVector, tensorflow.decision_trees.GenericTreeModel.SparseVector.Builder, tensorflow.decision_trees.GenericTreeModel.SparseVectorOrBuilder>
getSparseCountsFieldBuilder() {
if (sparseCountsBuilder_ == null) {
if (!(countsCase_ == 2)) {
counts_ = tensorflow.decision_trees.GenericTreeModel.SparseVector.getDefaultInstance();
}
sparseCountsBuilder_ = new com.google.protobuf.SingleFieldBuilderV3<
tensorflow.decision_trees.GenericTreeModel.SparseVector, tensorflow.decision_trees.GenericTreeModel.SparseVector.Builder, tensorflow.decision_trees.GenericTreeModel.SparseVectorOrBuilder>(
(tensorflow.decision_trees.GenericTreeModel.SparseVector) counts_,
getParentForChildren(),
isClean());
counts_ = null;
}
countsCase_ = 2;
onChanged();;
return sparseCountsBuilder_;
}
private tensorflow.tensorforest.FertileStatsOuterClass.GiniStats gini_ = null;
private com.google.protobuf.SingleFieldBuilderV3<
tensorflow.tensorforest.FertileStatsOuterClass.GiniStats, tensorflow.tensorforest.FertileStatsOuterClass.GiniStats.Builder, tensorflow.tensorforest.FertileStatsOuterClass.GiniStatsOrBuilder> giniBuilder_;
/**
* .tensorflow.tensorforest.GiniStats gini = 3;
*/
public boolean hasGini() {
return giniBuilder_ != null || gini_ != null;
}
/**
* .tensorflow.tensorforest.GiniStats gini = 3;
*/
public tensorflow.tensorforest.FertileStatsOuterClass.GiniStats getGini() {
if (giniBuilder_ == null) {
return gini_ == null ? tensorflow.tensorforest.FertileStatsOuterClass.GiniStats.getDefaultInstance() : gini_;
} else {
return giniBuilder_.getMessage();
}
}
/**
* .tensorflow.tensorforest.GiniStats gini = 3;
*/
public Builder setGini(tensorflow.tensorforest.FertileStatsOuterClass.GiniStats value) {
if (giniBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
gini_ = value;
onChanged();
} else {
giniBuilder_.setMessage(value);
}
return this;
}
/**
* .tensorflow.tensorforest.GiniStats gini = 3;
*/
public Builder setGini(
tensorflow.tensorforest.FertileStatsOuterClass.GiniStats.Builder builderForValue) {
if (giniBuilder_ == null) {
gini_ = builderForValue.build();
onChanged();
} else {
giniBuilder_.setMessage(builderForValue.build());
}
return this;
}
/**
* .tensorflow.tensorforest.GiniStats gini = 3;
*/
public Builder mergeGini(tensorflow.tensorforest.FertileStatsOuterClass.GiniStats value) {
if (giniBuilder_ == null) {
if (gini_ != null) {
gini_ =
tensorflow.tensorforest.FertileStatsOuterClass.GiniStats.newBuilder(gini_).mergeFrom(value).buildPartial();
} else {
gini_ = value;
}
onChanged();
} else {
giniBuilder_.mergeFrom(value);
}
return this;
}
/**
* .tensorflow.tensorforest.GiniStats gini = 3;
*/
public Builder clearGini() {
if (giniBuilder_ == null) {
gini_ = null;
onChanged();
} else {
gini_ = null;
giniBuilder_ = null;
}
return this;
}
/**
* .tensorflow.tensorforest.GiniStats gini = 3;
*/
public tensorflow.tensorforest.FertileStatsOuterClass.GiniStats.Builder getGiniBuilder() {
onChanged();
return getGiniFieldBuilder().getBuilder();
}
/**
* .tensorflow.tensorforest.GiniStats gini = 3;
*/
public tensorflow.tensorforest.FertileStatsOuterClass.GiniStatsOrBuilder getGiniOrBuilder() {
if (giniBuilder_ != null) {
return giniBuilder_.getMessageOrBuilder();
} else {
return gini_ == null ?
tensorflow.tensorforest.FertileStatsOuterClass.GiniStats.getDefaultInstance() : gini_;
}
}
/**
* .tensorflow.tensorforest.GiniStats gini = 3;
*/
private com.google.protobuf.SingleFieldBuilderV3<
tensorflow.tensorforest.FertileStatsOuterClass.GiniStats, tensorflow.tensorforest.FertileStatsOuterClass.GiniStats.Builder, tensorflow.tensorforest.FertileStatsOuterClass.GiniStatsOrBuilder>
getGiniFieldBuilder() {
if (giniBuilder_ == null) {
giniBuilder_ = new com.google.protobuf.SingleFieldBuilderV3<
tensorflow.tensorforest.FertileStatsOuterClass.GiniStats, tensorflow.tensorforest.FertileStatsOuterClass.GiniStats.Builder, tensorflow.tensorforest.FertileStatsOuterClass.GiniStatsOrBuilder>(
getGini(),
getParentForChildren(),
isClean());
gini_ = null;
}
return giniBuilder_;
}
@java.lang.Override
public final Builder setUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFieldsProto3(unknownFields);
}
@java.lang.Override
public final Builder mergeUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
}
// @@protoc_insertion_point(builder_scope:tensorflow.tensorforest.LeafStat.GiniImpurityClassificationStats)
}
// @@protoc_insertion_point(class_scope:tensorflow.tensorforest.LeafStat.GiniImpurityClassificationStats)
private static final tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.GiniImpurityClassificationStats DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.GiniImpurityClassificationStats();
}
public static tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.GiniImpurityClassificationStats getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser
PARSER = new com.google.protobuf.AbstractParser() {
@java.lang.Override
public GiniImpurityClassificationStats parsePartialFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return new GiniImpurityClassificationStats(input, extensionRegistry);
}
};
public static com.google.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public com.google.protobuf.Parser getParserForType() {
return PARSER;
}
@java.lang.Override
public tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.GiniImpurityClassificationStats getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
public interface LeastSquaresRegressionStatsOrBuilder extends
// @@protoc_insertion_point(interface_extends:tensorflow.tensorforest.LeafStat.LeastSquaresRegressionStats)
com.google.protobuf.MessageOrBuilder {
/**
* .tensorflow.decision_trees.Vector mean_output = 1;
*/
boolean hasMeanOutput();
/**
* .tensorflow.decision_trees.Vector mean_output = 1;
*/
tensorflow.decision_trees.GenericTreeModel.Vector getMeanOutput();
/**
* .tensorflow.decision_trees.Vector mean_output = 1;
*/
tensorflow.decision_trees.GenericTreeModel.VectorOrBuilder getMeanOutputOrBuilder();
/**
* .tensorflow.decision_trees.Vector mean_output_squares = 2;
*/
boolean hasMeanOutputSquares();
/**
* .tensorflow.decision_trees.Vector mean_output_squares = 2;
*/
tensorflow.decision_trees.GenericTreeModel.Vector getMeanOutputSquares();
/**
* .tensorflow.decision_trees.Vector mean_output_squares = 2;
*/
tensorflow.decision_trees.GenericTreeModel.VectorOrBuilder getMeanOutputSquaresOrBuilder();
}
/**
*
* This is the info needed for calculating variance for regression.
* Variance will still have to be summed over every output, but the
* number of outputs in regression problems is almost always 1.
*
*
* Protobuf type {@code tensorflow.tensorforest.LeafStat.LeastSquaresRegressionStats}
*/
public static final class LeastSquaresRegressionStats extends
com.google.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:tensorflow.tensorforest.LeafStat.LeastSquaresRegressionStats)
LeastSquaresRegressionStatsOrBuilder {
private static final long serialVersionUID = 0L;
// Use LeastSquaresRegressionStats.newBuilder() to construct.
private LeastSquaresRegressionStats(com.google.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private LeastSquaresRegressionStats() {
}
@java.lang.Override
public final com.google.protobuf.UnknownFieldSet
getUnknownFields() {
return this.unknownFields;
}
private LeastSquaresRegressionStats(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
this();
if (extensionRegistry == null) {
throw new java.lang.NullPointerException();
}
int mutable_bitField0_ = 0;
com.google.protobuf.UnknownFieldSet.Builder unknownFields =
com.google.protobuf.UnknownFieldSet.newBuilder();
try {
boolean done = false;
while (!done) {
int tag = input.readTag();
switch (tag) {
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break;
case 10: {
tensorflow.decision_trees.GenericTreeModel.Vector.Builder subBuilder = null;
if (meanOutput_ != null) {
subBuilder = meanOutput_.toBuilder();
}
meanOutput_ = input.readMessage(tensorflow.decision_trees.GenericTreeModel.Vector.parser(), extensionRegistry);
if (subBuilder != null) {
subBuilder.mergeFrom(meanOutput_);
meanOutput_ = subBuilder.buildPartial();
}
break;
}
case 18: {
tensorflow.decision_trees.GenericTreeModel.Vector.Builder subBuilder = null;
if (meanOutputSquares_ != null) {
subBuilder = meanOutputSquares_.toBuilder();
}
meanOutputSquares_ = input.readMessage(tensorflow.decision_trees.GenericTreeModel.Vector.parser(), extensionRegistry);
if (subBuilder != null) {
subBuilder.mergeFrom(meanOutputSquares_);
meanOutputSquares_ = subBuilder.buildPartial();
}
break;
}
default: {
if (!parseUnknownFieldProto3(
input, unknownFields, extensionRegistry, tag)) {
done = true;
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break;
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}
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} catch (com.google.protobuf.InvalidProtocolBufferException e) {
throw e.setUnfinishedMessage(this);
} catch (java.io.IOException e) {
throw new com.google.protobuf.InvalidProtocolBufferException(
e).setUnfinishedMessage(this);
} finally {
this.unknownFields = unknownFields.build();
makeExtensionsImmutable();
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public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return tensorflow.tensorforest.FertileStatsOuterClass.internal_static_tensorflow_tensorforest_LeafStat_LeastSquaresRegressionStats_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return tensorflow.tensorforest.FertileStatsOuterClass.internal_static_tensorflow_tensorforest_LeafStat_LeastSquaresRegressionStats_fieldAccessorTable
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tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats.class, tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats.Builder.class);
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public static final int MEAN_OUTPUT_FIELD_NUMBER = 1;
private tensorflow.decision_trees.GenericTreeModel.Vector meanOutput_;
/**
* .tensorflow.decision_trees.Vector mean_output = 1;
*/
public boolean hasMeanOutput() {
return meanOutput_ != null;
}
/**
* .tensorflow.decision_trees.Vector mean_output = 1;
*/
public tensorflow.decision_trees.GenericTreeModel.Vector getMeanOutput() {
return meanOutput_ == null ? tensorflow.decision_trees.GenericTreeModel.Vector.getDefaultInstance() : meanOutput_;
}
/**
* .tensorflow.decision_trees.Vector mean_output = 1;
*/
public tensorflow.decision_trees.GenericTreeModel.VectorOrBuilder getMeanOutputOrBuilder() {
return getMeanOutput();
}
public static final int MEAN_OUTPUT_SQUARES_FIELD_NUMBER = 2;
private tensorflow.decision_trees.GenericTreeModel.Vector meanOutputSquares_;
/**
* .tensorflow.decision_trees.Vector mean_output_squares = 2;
*/
public boolean hasMeanOutputSquares() {
return meanOutputSquares_ != null;
}
/**
* .tensorflow.decision_trees.Vector mean_output_squares = 2;
*/
public tensorflow.decision_trees.GenericTreeModel.Vector getMeanOutputSquares() {
return meanOutputSquares_ == null ? tensorflow.decision_trees.GenericTreeModel.Vector.getDefaultInstance() : meanOutputSquares_;
}
/**
* .tensorflow.decision_trees.Vector mean_output_squares = 2;
*/
public tensorflow.decision_trees.GenericTreeModel.VectorOrBuilder getMeanOutputSquaresOrBuilder() {
return getMeanOutputSquares();
}
private byte memoizedIsInitialized = -1;
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byte isInitialized = memoizedIsInitialized;
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memoizedIsInitialized = 1;
return true;
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throws java.io.IOException {
if (meanOutput_ != null) {
output.writeMessage(1, getMeanOutput());
}
if (meanOutputSquares_ != null) {
output.writeMessage(2, getMeanOutputSquares());
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unknownFields.writeTo(output);
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size = 0;
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@java.lang.Override
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if (obj == this) {
return true;
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if (!(obj instanceof tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats)) {
return super.equals(obj);
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tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats other = (tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats) obj;
boolean result = true;
result = result && (hasMeanOutput() == other.hasMeanOutput());
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int hash = 41;
hash = (19 * hash) + getDescriptor().hashCode();
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public static tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats parseFrom(
java.nio.ByteBuffer data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
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public static tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats parseFrom(
java.nio.ByteBuffer data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats parseFrom(
com.google.protobuf.ByteString data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats parseFrom(
com.google.protobuf.ByteString data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats parseFrom(byte[] data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats parseFrom(
byte[] data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats parseFrom(java.io.InputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats parseFrom(
java.io.InputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input, extensionRegistry);
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throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
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public static tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats parseDelimitedFrom(
java.io.InputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
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public static tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats parseFrom(
com.google.protobuf.CodedInputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats parseFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input, extensionRegistry);
}
@java.lang.Override
public Builder newBuilderForType() { return newBuilder(); }
public static Builder newBuilder() {
return DEFAULT_INSTANCE.toBuilder();
}
public static Builder newBuilder(tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats prototype) {
return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
}
@java.lang.Override
public Builder toBuilder() {
return this == DEFAULT_INSTANCE
? new Builder() : new Builder().mergeFrom(this);
}
@java.lang.Override
protected Builder newBuilderForType(
com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
Builder builder = new Builder(parent);
return builder;
}
/**
*
* This is the info needed for calculating variance for regression.
* Variance will still have to be summed over every output, but the
* number of outputs in regression problems is almost always 1.
*
*
* Protobuf type {@code tensorflow.tensorforest.LeafStat.LeastSquaresRegressionStats}
*/
public static final class Builder extends
com.google.protobuf.GeneratedMessageV3.Builder implements
// @@protoc_insertion_point(builder_implements:tensorflow.tensorforest.LeafStat.LeastSquaresRegressionStats)
tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStatsOrBuilder {
public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return tensorflow.tensorforest.FertileStatsOuterClass.internal_static_tensorflow_tensorforest_LeafStat_LeastSquaresRegressionStats_descriptor;
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protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
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tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats.class, tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats.Builder.class);
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// Construct using tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats.newBuilder()
private Builder() {
maybeForceBuilderInitialization();
}
private Builder(
com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
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maybeForceBuilderInitialization();
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private void maybeForceBuilderInitialization() {
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@java.lang.Override
public Builder clear() {
super.clear();
if (meanOutputBuilder_ == null) {
meanOutput_ = null;
} else {
meanOutput_ = null;
meanOutputBuilder_ = null;
}
if (meanOutputSquaresBuilder_ == null) {
meanOutputSquares_ = null;
} else {
meanOutputSquares_ = null;
meanOutputSquaresBuilder_ = null;
}
return this;
}
@java.lang.Override
public com.google.protobuf.Descriptors.Descriptor
getDescriptorForType() {
return tensorflow.tensorforest.FertileStatsOuterClass.internal_static_tensorflow_tensorforest_LeafStat_LeastSquaresRegressionStats_descriptor;
}
@java.lang.Override
public tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats getDefaultInstanceForType() {
return tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats.getDefaultInstance();
}
@java.lang.Override
public tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats build() {
tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats result = buildPartial();
if (!result.isInitialized()) {
throw newUninitializedMessageException(result);
}
return result;
}
@java.lang.Override
public tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats buildPartial() {
tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats result = new tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats(this);
if (meanOutputBuilder_ == null) {
result.meanOutput_ = meanOutput_;
} else {
result.meanOutput_ = meanOutputBuilder_.build();
}
if (meanOutputSquaresBuilder_ == null) {
result.meanOutputSquares_ = meanOutputSquares_;
} else {
result.meanOutputSquares_ = meanOutputSquaresBuilder_.build();
}
onBuilt();
return result;
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@java.lang.Override
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return (Builder) super.clone();
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@java.lang.Override
public Builder setField(
com.google.protobuf.Descriptors.FieldDescriptor field,
java.lang.Object value) {
return (Builder) super.setField(field, value);
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@java.lang.Override
public Builder clearField(
com.google.protobuf.Descriptors.FieldDescriptor field) {
return (Builder) super.clearField(field);
}
@java.lang.Override
public Builder clearOneof(
com.google.protobuf.Descriptors.OneofDescriptor oneof) {
return (Builder) super.clearOneof(oneof);
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@java.lang.Override
public Builder setRepeatedField(
com.google.protobuf.Descriptors.FieldDescriptor field,
int index, java.lang.Object value) {
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@java.lang.Override
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com.google.protobuf.Descriptors.FieldDescriptor field,
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return (Builder) super.addRepeatedField(field, value);
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public Builder mergeFrom(com.google.protobuf.Message other) {
if (other instanceof tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats) {
return mergeFrom((tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats)other);
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public Builder mergeFrom(tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats other) {
if (other == tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats.getDefaultInstance()) return this;
if (other.hasMeanOutput()) {
mergeMeanOutput(other.getMeanOutput());
}
if (other.hasMeanOutputSquares()) {
mergeMeanOutputSquares(other.getMeanOutputSquares());
}
this.mergeUnknownFields(other.unknownFields);
onChanged();
return this;
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@java.lang.Override
public final boolean isInitialized() {
return true;
}
@java.lang.Override
public Builder mergeFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats parsedMessage = null;
try {
parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
} catch (com.google.protobuf.InvalidProtocolBufferException e) {
parsedMessage = (tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats) e.getUnfinishedMessage();
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private tensorflow.decision_trees.GenericTreeModel.Vector meanOutput_ = null;
private com.google.protobuf.SingleFieldBuilderV3<
tensorflow.decision_trees.GenericTreeModel.Vector, tensorflow.decision_trees.GenericTreeModel.Vector.Builder, tensorflow.decision_trees.GenericTreeModel.VectorOrBuilder> meanOutputBuilder_;
/**
* .tensorflow.decision_trees.Vector mean_output = 1;
*/
public boolean hasMeanOutput() {
return meanOutputBuilder_ != null || meanOutput_ != null;
}
/**
* .tensorflow.decision_trees.Vector mean_output = 1;
*/
public tensorflow.decision_trees.GenericTreeModel.Vector getMeanOutput() {
if (meanOutputBuilder_ == null) {
return meanOutput_ == null ? tensorflow.decision_trees.GenericTreeModel.Vector.getDefaultInstance() : meanOutput_;
} else {
return meanOutputBuilder_.getMessage();
}
}
/**
* .tensorflow.decision_trees.Vector mean_output = 1;
*/
public Builder setMeanOutput(tensorflow.decision_trees.GenericTreeModel.Vector value) {
if (meanOutputBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
meanOutput_ = value;
onChanged();
} else {
meanOutputBuilder_.setMessage(value);
}
return this;
}
/**
* .tensorflow.decision_trees.Vector mean_output = 1;
*/
public Builder setMeanOutput(
tensorflow.decision_trees.GenericTreeModel.Vector.Builder builderForValue) {
if (meanOutputBuilder_ == null) {
meanOutput_ = builderForValue.build();
onChanged();
} else {
meanOutputBuilder_.setMessage(builderForValue.build());
}
return this;
}
/**
* .tensorflow.decision_trees.Vector mean_output = 1;
*/
public Builder mergeMeanOutput(tensorflow.decision_trees.GenericTreeModel.Vector value) {
if (meanOutputBuilder_ == null) {
if (meanOutput_ != null) {
meanOutput_ =
tensorflow.decision_trees.GenericTreeModel.Vector.newBuilder(meanOutput_).mergeFrom(value).buildPartial();
} else {
meanOutput_ = value;
}
onChanged();
} else {
meanOutputBuilder_.mergeFrom(value);
}
return this;
}
/**
* .tensorflow.decision_trees.Vector mean_output = 1;
*/
public Builder clearMeanOutput() {
if (meanOutputBuilder_ == null) {
meanOutput_ = null;
onChanged();
} else {
meanOutput_ = null;
meanOutputBuilder_ = null;
}
return this;
}
/**
* .tensorflow.decision_trees.Vector mean_output = 1;
*/
public tensorflow.decision_trees.GenericTreeModel.Vector.Builder getMeanOutputBuilder() {
onChanged();
return getMeanOutputFieldBuilder().getBuilder();
}
/**
* .tensorflow.decision_trees.Vector mean_output = 1;
*/
public tensorflow.decision_trees.GenericTreeModel.VectorOrBuilder getMeanOutputOrBuilder() {
if (meanOutputBuilder_ != null) {
return meanOutputBuilder_.getMessageOrBuilder();
} else {
return meanOutput_ == null ?
tensorflow.decision_trees.GenericTreeModel.Vector.getDefaultInstance() : meanOutput_;
}
}
/**
* .tensorflow.decision_trees.Vector mean_output = 1;
*/
private com.google.protobuf.SingleFieldBuilderV3<
tensorflow.decision_trees.GenericTreeModel.Vector, tensorflow.decision_trees.GenericTreeModel.Vector.Builder, tensorflow.decision_trees.GenericTreeModel.VectorOrBuilder>
getMeanOutputFieldBuilder() {
if (meanOutputBuilder_ == null) {
meanOutputBuilder_ = new com.google.protobuf.SingleFieldBuilderV3<
tensorflow.decision_trees.GenericTreeModel.Vector, tensorflow.decision_trees.GenericTreeModel.Vector.Builder, tensorflow.decision_trees.GenericTreeModel.VectorOrBuilder>(
getMeanOutput(),
getParentForChildren(),
isClean());
meanOutput_ = null;
}
return meanOutputBuilder_;
}
private tensorflow.decision_trees.GenericTreeModel.Vector meanOutputSquares_ = null;
private com.google.protobuf.SingleFieldBuilderV3<
tensorflow.decision_trees.GenericTreeModel.Vector, tensorflow.decision_trees.GenericTreeModel.Vector.Builder, tensorflow.decision_trees.GenericTreeModel.VectorOrBuilder> meanOutputSquaresBuilder_;
/**
* .tensorflow.decision_trees.Vector mean_output_squares = 2;
*/
public boolean hasMeanOutputSquares() {
return meanOutputSquaresBuilder_ != null || meanOutputSquares_ != null;
}
/**
* .tensorflow.decision_trees.Vector mean_output_squares = 2;
*/
public tensorflow.decision_trees.GenericTreeModel.Vector getMeanOutputSquares() {
if (meanOutputSquaresBuilder_ == null) {
return meanOutputSquares_ == null ? tensorflow.decision_trees.GenericTreeModel.Vector.getDefaultInstance() : meanOutputSquares_;
} else {
return meanOutputSquaresBuilder_.getMessage();
}
}
/**
* .tensorflow.decision_trees.Vector mean_output_squares = 2;
*/
public Builder setMeanOutputSquares(tensorflow.decision_trees.GenericTreeModel.Vector value) {
if (meanOutputSquaresBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
meanOutputSquares_ = value;
onChanged();
} else {
meanOutputSquaresBuilder_.setMessage(value);
}
return this;
}
/**
* .tensorflow.decision_trees.Vector mean_output_squares = 2;
*/
public Builder setMeanOutputSquares(
tensorflow.decision_trees.GenericTreeModel.Vector.Builder builderForValue) {
if (meanOutputSquaresBuilder_ == null) {
meanOutputSquares_ = builderForValue.build();
onChanged();
} else {
meanOutputSquaresBuilder_.setMessage(builderForValue.build());
}
return this;
}
/**
* .tensorflow.decision_trees.Vector mean_output_squares = 2;
*/
public Builder mergeMeanOutputSquares(tensorflow.decision_trees.GenericTreeModel.Vector value) {
if (meanOutputSquaresBuilder_ == null) {
if (meanOutputSquares_ != null) {
meanOutputSquares_ =
tensorflow.decision_trees.GenericTreeModel.Vector.newBuilder(meanOutputSquares_).mergeFrom(value).buildPartial();
} else {
meanOutputSquares_ = value;
}
onChanged();
} else {
meanOutputSquaresBuilder_.mergeFrom(value);
}
return this;
}
/**
* .tensorflow.decision_trees.Vector mean_output_squares = 2;
*/
public Builder clearMeanOutputSquares() {
if (meanOutputSquaresBuilder_ == null) {
meanOutputSquares_ = null;
onChanged();
} else {
meanOutputSquares_ = null;
meanOutputSquaresBuilder_ = null;
}
return this;
}
/**
* .tensorflow.decision_trees.Vector mean_output_squares = 2;
*/
public tensorflow.decision_trees.GenericTreeModel.Vector.Builder getMeanOutputSquaresBuilder() {
onChanged();
return getMeanOutputSquaresFieldBuilder().getBuilder();
}
/**
* .tensorflow.decision_trees.Vector mean_output_squares = 2;
*/
public tensorflow.decision_trees.GenericTreeModel.VectorOrBuilder getMeanOutputSquaresOrBuilder() {
if (meanOutputSquaresBuilder_ != null) {
return meanOutputSquaresBuilder_.getMessageOrBuilder();
} else {
return meanOutputSquares_ == null ?
tensorflow.decision_trees.GenericTreeModel.Vector.getDefaultInstance() : meanOutputSquares_;
}
}
/**
* .tensorflow.decision_trees.Vector mean_output_squares = 2;
*/
private com.google.protobuf.SingleFieldBuilderV3<
tensorflow.decision_trees.GenericTreeModel.Vector, tensorflow.decision_trees.GenericTreeModel.Vector.Builder, tensorflow.decision_trees.GenericTreeModel.VectorOrBuilder>
getMeanOutputSquaresFieldBuilder() {
if (meanOutputSquaresBuilder_ == null) {
meanOutputSquaresBuilder_ = new com.google.protobuf.SingleFieldBuilderV3<
tensorflow.decision_trees.GenericTreeModel.Vector, tensorflow.decision_trees.GenericTreeModel.Vector.Builder, tensorflow.decision_trees.GenericTreeModel.VectorOrBuilder>(
getMeanOutputSquares(),
getParentForChildren(),
isClean());
meanOutputSquares_ = null;
}
return meanOutputSquaresBuilder_;
}
@java.lang.Override
public final Builder setUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFieldsProto3(unknownFields);
}
@java.lang.Override
public final Builder mergeUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
}
// @@protoc_insertion_point(builder_scope:tensorflow.tensorforest.LeafStat.LeastSquaresRegressionStats)
}
// @@protoc_insertion_point(class_scope:tensorflow.tensorforest.LeafStat.LeastSquaresRegressionStats)
private static final tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats();
}
public static tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser
PARSER = new com.google.protobuf.AbstractParser() {
@java.lang.Override
public LeastSquaresRegressionStats parsePartialFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return new LeastSquaresRegressionStats(input, extensionRegistry);
}
};
public static com.google.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public com.google.protobuf.Parser getParserForType() {
return PARSER;
}
@java.lang.Override
public tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
private int leafStatCase_ = 0;
private java.lang.Object leafStat_;
public enum LeafStatCase
implements com.google.protobuf.Internal.EnumLite {
CLASSIFICATION(1),
REGRESSION(2),
LEAFSTAT_NOT_SET(0);
private final int value;
private LeafStatCase(int value) {
this.value = value;
}
/**
* @deprecated Use {@link #forNumber(int)} instead.
*/
@java.lang.Deprecated
public static LeafStatCase valueOf(int value) {
return forNumber(value);
}
public static LeafStatCase forNumber(int value) {
switch (value) {
case 1: return CLASSIFICATION;
case 2: return REGRESSION;
case 0: return LEAFSTAT_NOT_SET;
default: return null;
}
}
public int getNumber() {
return this.value;
}
};
public LeafStatCase
getLeafStatCase() {
return LeafStatCase.forNumber(
leafStatCase_);
}
public static final int WEIGHT_SUM_FIELD_NUMBER = 3;
private float weightSum_;
/**
*
* The sum of the weights of the training examples that we have seen.
* This is here, outside of the leaf_stat oneof, because almost all
* types will want it.
*
*
* float weight_sum = 3;
*/
public float getWeightSum() {
return weightSum_;
}
public static final int CLASSIFICATION_FIELD_NUMBER = 1;
/**
* .tensorflow.tensorforest.LeafStat.GiniImpurityClassificationStats classification = 1;
*/
public boolean hasClassification() {
return leafStatCase_ == 1;
}
/**
* .tensorflow.tensorforest.LeafStat.GiniImpurityClassificationStats classification = 1;
*/
public tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.GiniImpurityClassificationStats getClassification() {
if (leafStatCase_ == 1) {
return (tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.GiniImpurityClassificationStats) leafStat_;
}
return tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.GiniImpurityClassificationStats.getDefaultInstance();
}
/**
* .tensorflow.tensorforest.LeafStat.GiniImpurityClassificationStats classification = 1;
*/
public tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.GiniImpurityClassificationStatsOrBuilder getClassificationOrBuilder() {
if (leafStatCase_ == 1) {
return (tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.GiniImpurityClassificationStats) leafStat_;
}
return tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.GiniImpurityClassificationStats.getDefaultInstance();
}
public static final int REGRESSION_FIELD_NUMBER = 2;
/**
*
* TODO(thomaswc): Add in v5's SparseClassStats.
*
*
* .tensorflow.tensorforest.LeafStat.LeastSquaresRegressionStats regression = 2;
*/
public boolean hasRegression() {
return leafStatCase_ == 2;
}
/**
*
* TODO(thomaswc): Add in v5's SparseClassStats.
*
*
* .tensorflow.tensorforest.LeafStat.LeastSquaresRegressionStats regression = 2;
*/
public tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats getRegression() {
if (leafStatCase_ == 2) {
return (tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats) leafStat_;
}
return tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats.getDefaultInstance();
}
/**
*
* TODO(thomaswc): Add in v5's SparseClassStats.
*
*
* .tensorflow.tensorforest.LeafStat.LeastSquaresRegressionStats regression = 2;
*/
public tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStatsOrBuilder getRegressionOrBuilder() {
if (leafStatCase_ == 2) {
return (tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats) leafStat_;
}
return tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats.getDefaultInstance();
}
private byte memoizedIsInitialized = -1;
@java.lang.Override
public final boolean isInitialized() {
byte isInitialized = memoizedIsInitialized;
if (isInitialized == 1) return true;
if (isInitialized == 0) return false;
memoizedIsInitialized = 1;
return true;
}
@java.lang.Override
public void writeTo(com.google.protobuf.CodedOutputStream output)
throws java.io.IOException {
if (leafStatCase_ == 1) {
output.writeMessage(1, (tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.GiniImpurityClassificationStats) leafStat_);
}
if (leafStatCase_ == 2) {
output.writeMessage(2, (tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats) leafStat_);
}
if (weightSum_ != 0F) {
output.writeFloat(3, weightSum_);
}
unknownFields.writeTo(output);
}
@java.lang.Override
public int getSerializedSize() {
int size = memoizedSize;
if (size != -1) return size;
size = 0;
if (leafStatCase_ == 1) {
size += com.google.protobuf.CodedOutputStream
.computeMessageSize(1, (tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.GiniImpurityClassificationStats) leafStat_);
}
if (leafStatCase_ == 2) {
size += com.google.protobuf.CodedOutputStream
.computeMessageSize(2, (tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats) leafStat_);
}
if (weightSum_ != 0F) {
size += com.google.protobuf.CodedOutputStream
.computeFloatSize(3, weightSum_);
}
size += unknownFields.getSerializedSize();
memoizedSize = size;
return size;
}
@java.lang.Override
public boolean equals(final java.lang.Object obj) {
if (obj == this) {
return true;
}
if (!(obj instanceof tensorflow.tensorforest.FertileStatsOuterClass.LeafStat)) {
return super.equals(obj);
}
tensorflow.tensorforest.FertileStatsOuterClass.LeafStat other = (tensorflow.tensorforest.FertileStatsOuterClass.LeafStat) obj;
boolean result = true;
result = result && (
java.lang.Float.floatToIntBits(getWeightSum())
== java.lang.Float.floatToIntBits(
other.getWeightSum()));
result = result && getLeafStatCase().equals(
other.getLeafStatCase());
if (!result) return false;
switch (leafStatCase_) {
case 1:
result = result && getClassification()
.equals(other.getClassification());
break;
case 2:
result = result && getRegression()
.equals(other.getRegression());
break;
case 0:
default:
}
result = result && unknownFields.equals(other.unknownFields);
return result;
}
@java.lang.Override
public int hashCode() {
if (memoizedHashCode != 0) {
return memoizedHashCode;
}
int hash = 41;
hash = (19 * hash) + getDescriptor().hashCode();
hash = (37 * hash) + WEIGHT_SUM_FIELD_NUMBER;
hash = (53 * hash) + java.lang.Float.floatToIntBits(
getWeightSum());
switch (leafStatCase_) {
case 1:
hash = (37 * hash) + CLASSIFICATION_FIELD_NUMBER;
hash = (53 * hash) + getClassification().hashCode();
break;
case 2:
hash = (37 * hash) + REGRESSION_FIELD_NUMBER;
hash = (53 * hash) + getRegression().hashCode();
break;
case 0:
default:
}
hash = (29 * hash) + unknownFields.hashCode();
memoizedHashCode = hash;
return hash;
}
public static tensorflow.tensorforest.FertileStatsOuterClass.LeafStat parseFrom(
java.nio.ByteBuffer data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static tensorflow.tensorforest.FertileStatsOuterClass.LeafStat parseFrom(
java.nio.ByteBuffer data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static tensorflow.tensorforest.FertileStatsOuterClass.LeafStat parseFrom(
com.google.protobuf.ByteString data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static tensorflow.tensorforest.FertileStatsOuterClass.LeafStat parseFrom(
com.google.protobuf.ByteString data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static tensorflow.tensorforest.FertileStatsOuterClass.LeafStat parseFrom(byte[] data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static tensorflow.tensorforest.FertileStatsOuterClass.LeafStat parseFrom(
byte[] data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static tensorflow.tensorforest.FertileStatsOuterClass.LeafStat parseFrom(java.io.InputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static tensorflow.tensorforest.FertileStatsOuterClass.LeafStat parseFrom(
java.io.InputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input, extensionRegistry);
}
public static tensorflow.tensorforest.FertileStatsOuterClass.LeafStat parseDelimitedFrom(java.io.InputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseDelimitedWithIOException(PARSER, input);
}
public static tensorflow.tensorforest.FertileStatsOuterClass.LeafStat parseDelimitedFrom(
java.io.InputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseDelimitedWithIOException(PARSER, input, extensionRegistry);
}
public static tensorflow.tensorforest.FertileStatsOuterClass.LeafStat parseFrom(
com.google.protobuf.CodedInputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static tensorflow.tensorforest.FertileStatsOuterClass.LeafStat parseFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input, extensionRegistry);
}
@java.lang.Override
public Builder newBuilderForType() { return newBuilder(); }
public static Builder newBuilder() {
return DEFAULT_INSTANCE.toBuilder();
}
public static Builder newBuilder(tensorflow.tensorforest.FertileStatsOuterClass.LeafStat prototype) {
return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
}
@java.lang.Override
public Builder toBuilder() {
return this == DEFAULT_INSTANCE
? new Builder() : new Builder().mergeFrom(this);
}
@java.lang.Override
protected Builder newBuilderForType(
com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
Builder builder = new Builder(parent);
return builder;
}
/**
* Protobuf type {@code tensorflow.tensorforest.LeafStat}
*/
public static final class Builder extends
com.google.protobuf.GeneratedMessageV3.Builder implements
// @@protoc_insertion_point(builder_implements:tensorflow.tensorforest.LeafStat)
tensorflow.tensorforest.FertileStatsOuterClass.LeafStatOrBuilder {
public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return tensorflow.tensorforest.FertileStatsOuterClass.internal_static_tensorflow_tensorforest_LeafStat_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return tensorflow.tensorforest.FertileStatsOuterClass.internal_static_tensorflow_tensorforest_LeafStat_fieldAccessorTable
.ensureFieldAccessorsInitialized(
tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.class, tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.Builder.class);
}
// Construct using tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.newBuilder()
private Builder() {
maybeForceBuilderInitialization();
}
private Builder(
com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
super(parent);
maybeForceBuilderInitialization();
}
private void maybeForceBuilderInitialization() {
if (com.google.protobuf.GeneratedMessageV3
.alwaysUseFieldBuilders) {
}
}
@java.lang.Override
public Builder clear() {
super.clear();
weightSum_ = 0F;
leafStatCase_ = 0;
leafStat_ = null;
return this;
}
@java.lang.Override
public com.google.protobuf.Descriptors.Descriptor
getDescriptorForType() {
return tensorflow.tensorforest.FertileStatsOuterClass.internal_static_tensorflow_tensorforest_LeafStat_descriptor;
}
@java.lang.Override
public tensorflow.tensorforest.FertileStatsOuterClass.LeafStat getDefaultInstanceForType() {
return tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.getDefaultInstance();
}
@java.lang.Override
public tensorflow.tensorforest.FertileStatsOuterClass.LeafStat build() {
tensorflow.tensorforest.FertileStatsOuterClass.LeafStat result = buildPartial();
if (!result.isInitialized()) {
throw newUninitializedMessageException(result);
}
return result;
}
@java.lang.Override
public tensorflow.tensorforest.FertileStatsOuterClass.LeafStat buildPartial() {
tensorflow.tensorforest.FertileStatsOuterClass.LeafStat result = new tensorflow.tensorforest.FertileStatsOuterClass.LeafStat(this);
result.weightSum_ = weightSum_;
if (leafStatCase_ == 1) {
if (classificationBuilder_ == null) {
result.leafStat_ = leafStat_;
} else {
result.leafStat_ = classificationBuilder_.build();
}
}
if (leafStatCase_ == 2) {
if (regressionBuilder_ == null) {
result.leafStat_ = leafStat_;
} else {
result.leafStat_ = regressionBuilder_.build();
}
}
result.leafStatCase_ = leafStatCase_;
onBuilt();
return result;
}
@java.lang.Override
public Builder clone() {
return (Builder) super.clone();
}
@java.lang.Override
public Builder setField(
com.google.protobuf.Descriptors.FieldDescriptor field,
java.lang.Object value) {
return (Builder) super.setField(field, value);
}
@java.lang.Override
public Builder clearField(
com.google.protobuf.Descriptors.FieldDescriptor field) {
return (Builder) super.clearField(field);
}
@java.lang.Override
public Builder clearOneof(
com.google.protobuf.Descriptors.OneofDescriptor oneof) {
return (Builder) super.clearOneof(oneof);
}
@java.lang.Override
public Builder setRepeatedField(
com.google.protobuf.Descriptors.FieldDescriptor field,
int index, java.lang.Object value) {
return (Builder) super.setRepeatedField(field, index, value);
}
@java.lang.Override
public Builder addRepeatedField(
com.google.protobuf.Descriptors.FieldDescriptor field,
java.lang.Object value) {
return (Builder) super.addRepeatedField(field, value);
}
@java.lang.Override
public Builder mergeFrom(com.google.protobuf.Message other) {
if (other instanceof tensorflow.tensorforest.FertileStatsOuterClass.LeafStat) {
return mergeFrom((tensorflow.tensorforest.FertileStatsOuterClass.LeafStat)other);
} else {
super.mergeFrom(other);
return this;
}
}
public Builder mergeFrom(tensorflow.tensorforest.FertileStatsOuterClass.LeafStat other) {
if (other == tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.getDefaultInstance()) return this;
if (other.getWeightSum() != 0F) {
setWeightSum(other.getWeightSum());
}
switch (other.getLeafStatCase()) {
case CLASSIFICATION: {
mergeClassification(other.getClassification());
break;
}
case REGRESSION: {
mergeRegression(other.getRegression());
break;
}
case LEAFSTAT_NOT_SET: {
break;
}
}
this.mergeUnknownFields(other.unknownFields);
onChanged();
return this;
}
@java.lang.Override
public final boolean isInitialized() {
return true;
}
@java.lang.Override
public Builder mergeFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
tensorflow.tensorforest.FertileStatsOuterClass.LeafStat parsedMessage = null;
try {
parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
} catch (com.google.protobuf.InvalidProtocolBufferException e) {
parsedMessage = (tensorflow.tensorforest.FertileStatsOuterClass.LeafStat) e.getUnfinishedMessage();
throw e.unwrapIOException();
} finally {
if (parsedMessage != null) {
mergeFrom(parsedMessage);
}
}
return this;
}
private int leafStatCase_ = 0;
private java.lang.Object leafStat_;
public LeafStatCase
getLeafStatCase() {
return LeafStatCase.forNumber(
leafStatCase_);
}
public Builder clearLeafStat() {
leafStatCase_ = 0;
leafStat_ = null;
onChanged();
return this;
}
private float weightSum_ ;
/**
*
* The sum of the weights of the training examples that we have seen.
* This is here, outside of the leaf_stat oneof, because almost all
* types will want it.
*
*
* float weight_sum = 3;
*/
public float getWeightSum() {
return weightSum_;
}
/**
*
* The sum of the weights of the training examples that we have seen.
* This is here, outside of the leaf_stat oneof, because almost all
* types will want it.
*
*
* float weight_sum = 3;
*/
public Builder setWeightSum(float value) {
weightSum_ = value;
onChanged();
return this;
}
/**
*
* The sum of the weights of the training examples that we have seen.
* This is here, outside of the leaf_stat oneof, because almost all
* types will want it.
*
*
* float weight_sum = 3;
*/
public Builder clearWeightSum() {
weightSum_ = 0F;
onChanged();
return this;
}
private com.google.protobuf.SingleFieldBuilderV3<
tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.GiniImpurityClassificationStats, tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.GiniImpurityClassificationStats.Builder, tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.GiniImpurityClassificationStatsOrBuilder> classificationBuilder_;
/**
* .tensorflow.tensorforest.LeafStat.GiniImpurityClassificationStats classification = 1;
*/
public boolean hasClassification() {
return leafStatCase_ == 1;
}
/**
* .tensorflow.tensorforest.LeafStat.GiniImpurityClassificationStats classification = 1;
*/
public tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.GiniImpurityClassificationStats getClassification() {
if (classificationBuilder_ == null) {
if (leafStatCase_ == 1) {
return (tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.GiniImpurityClassificationStats) leafStat_;
}
return tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.GiniImpurityClassificationStats.getDefaultInstance();
} else {
if (leafStatCase_ == 1) {
return classificationBuilder_.getMessage();
}
return tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.GiniImpurityClassificationStats.getDefaultInstance();
}
}
/**
* .tensorflow.tensorforest.LeafStat.GiniImpurityClassificationStats classification = 1;
*/
public Builder setClassification(tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.GiniImpurityClassificationStats value) {
if (classificationBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
leafStat_ = value;
onChanged();
} else {
classificationBuilder_.setMessage(value);
}
leafStatCase_ = 1;
return this;
}
/**
* .tensorflow.tensorforest.LeafStat.GiniImpurityClassificationStats classification = 1;
*/
public Builder setClassification(
tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.GiniImpurityClassificationStats.Builder builderForValue) {
if (classificationBuilder_ == null) {
leafStat_ = builderForValue.build();
onChanged();
} else {
classificationBuilder_.setMessage(builderForValue.build());
}
leafStatCase_ = 1;
return this;
}
/**
* .tensorflow.tensorforest.LeafStat.GiniImpurityClassificationStats classification = 1;
*/
public Builder mergeClassification(tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.GiniImpurityClassificationStats value) {
if (classificationBuilder_ == null) {
if (leafStatCase_ == 1 &&
leafStat_ != tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.GiniImpurityClassificationStats.getDefaultInstance()) {
leafStat_ = tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.GiniImpurityClassificationStats.newBuilder((tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.GiniImpurityClassificationStats) leafStat_)
.mergeFrom(value).buildPartial();
} else {
leafStat_ = value;
}
onChanged();
} else {
if (leafStatCase_ == 1) {
classificationBuilder_.mergeFrom(value);
}
classificationBuilder_.setMessage(value);
}
leafStatCase_ = 1;
return this;
}
/**
* .tensorflow.tensorforest.LeafStat.GiniImpurityClassificationStats classification = 1;
*/
public Builder clearClassification() {
if (classificationBuilder_ == null) {
if (leafStatCase_ == 1) {
leafStatCase_ = 0;
leafStat_ = null;
onChanged();
}
} else {
if (leafStatCase_ == 1) {
leafStatCase_ = 0;
leafStat_ = null;
}
classificationBuilder_.clear();
}
return this;
}
/**
* .tensorflow.tensorforest.LeafStat.GiniImpurityClassificationStats classification = 1;
*/
public tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.GiniImpurityClassificationStats.Builder getClassificationBuilder() {
return getClassificationFieldBuilder().getBuilder();
}
/**
* .tensorflow.tensorforest.LeafStat.GiniImpurityClassificationStats classification = 1;
*/
public tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.GiniImpurityClassificationStatsOrBuilder getClassificationOrBuilder() {
if ((leafStatCase_ == 1) && (classificationBuilder_ != null)) {
return classificationBuilder_.getMessageOrBuilder();
} else {
if (leafStatCase_ == 1) {
return (tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.GiniImpurityClassificationStats) leafStat_;
}
return tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.GiniImpurityClassificationStats.getDefaultInstance();
}
}
/**
* .tensorflow.tensorforest.LeafStat.GiniImpurityClassificationStats classification = 1;
*/
private com.google.protobuf.SingleFieldBuilderV3<
tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.GiniImpurityClassificationStats, tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.GiniImpurityClassificationStats.Builder, tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.GiniImpurityClassificationStatsOrBuilder>
getClassificationFieldBuilder() {
if (classificationBuilder_ == null) {
if (!(leafStatCase_ == 1)) {
leafStat_ = tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.GiniImpurityClassificationStats.getDefaultInstance();
}
classificationBuilder_ = new com.google.protobuf.SingleFieldBuilderV3<
tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.GiniImpurityClassificationStats, tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.GiniImpurityClassificationStats.Builder, tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.GiniImpurityClassificationStatsOrBuilder>(
(tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.GiniImpurityClassificationStats) leafStat_,
getParentForChildren(),
isClean());
leafStat_ = null;
}
leafStatCase_ = 1;
onChanged();;
return classificationBuilder_;
}
private com.google.protobuf.SingleFieldBuilderV3<
tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats, tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats.Builder, tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStatsOrBuilder> regressionBuilder_;
/**
*
* TODO(thomaswc): Add in v5's SparseClassStats.
*
*
* .tensorflow.tensorforest.LeafStat.LeastSquaresRegressionStats regression = 2;
*/
public boolean hasRegression() {
return leafStatCase_ == 2;
}
/**
*
* TODO(thomaswc): Add in v5's SparseClassStats.
*
*
* .tensorflow.tensorforest.LeafStat.LeastSquaresRegressionStats regression = 2;
*/
public tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats getRegression() {
if (regressionBuilder_ == null) {
if (leafStatCase_ == 2) {
return (tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats) leafStat_;
}
return tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats.getDefaultInstance();
} else {
if (leafStatCase_ == 2) {
return regressionBuilder_.getMessage();
}
return tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats.getDefaultInstance();
}
}
/**
*
* TODO(thomaswc): Add in v5's SparseClassStats.
*
*
* .tensorflow.tensorforest.LeafStat.LeastSquaresRegressionStats regression = 2;
*/
public Builder setRegression(tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats value) {
if (regressionBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
leafStat_ = value;
onChanged();
} else {
regressionBuilder_.setMessage(value);
}
leafStatCase_ = 2;
return this;
}
/**
*
* TODO(thomaswc): Add in v5's SparseClassStats.
*
*
* .tensorflow.tensorforest.LeafStat.LeastSquaresRegressionStats regression = 2;
*/
public Builder setRegression(
tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats.Builder builderForValue) {
if (regressionBuilder_ == null) {
leafStat_ = builderForValue.build();
onChanged();
} else {
regressionBuilder_.setMessage(builderForValue.build());
}
leafStatCase_ = 2;
return this;
}
/**
*
* TODO(thomaswc): Add in v5's SparseClassStats.
*
*
* .tensorflow.tensorforest.LeafStat.LeastSquaresRegressionStats regression = 2;
*/
public Builder mergeRegression(tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats value) {
if (regressionBuilder_ == null) {
if (leafStatCase_ == 2 &&
leafStat_ != tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats.getDefaultInstance()) {
leafStat_ = tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats.newBuilder((tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats) leafStat_)
.mergeFrom(value).buildPartial();
} else {
leafStat_ = value;
}
onChanged();
} else {
if (leafStatCase_ == 2) {
regressionBuilder_.mergeFrom(value);
}
regressionBuilder_.setMessage(value);
}
leafStatCase_ = 2;
return this;
}
/**
*
* TODO(thomaswc): Add in v5's SparseClassStats.
*
*
* .tensorflow.tensorforest.LeafStat.LeastSquaresRegressionStats regression = 2;
*/
public Builder clearRegression() {
if (regressionBuilder_ == null) {
if (leafStatCase_ == 2) {
leafStatCase_ = 0;
leafStat_ = null;
onChanged();
}
} else {
if (leafStatCase_ == 2) {
leafStatCase_ = 0;
leafStat_ = null;
}
regressionBuilder_.clear();
}
return this;
}
/**
*
* TODO(thomaswc): Add in v5's SparseClassStats.
*
*
* .tensorflow.tensorforest.LeafStat.LeastSquaresRegressionStats regression = 2;
*/
public tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats.Builder getRegressionBuilder() {
return getRegressionFieldBuilder().getBuilder();
}
/**
*
* TODO(thomaswc): Add in v5's SparseClassStats.
*
*
* .tensorflow.tensorforest.LeafStat.LeastSquaresRegressionStats regression = 2;
*/
public tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStatsOrBuilder getRegressionOrBuilder() {
if ((leafStatCase_ == 2) && (regressionBuilder_ != null)) {
return regressionBuilder_.getMessageOrBuilder();
} else {
if (leafStatCase_ == 2) {
return (tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats) leafStat_;
}
return tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats.getDefaultInstance();
}
}
/**
*
* TODO(thomaswc): Add in v5's SparseClassStats.
*
*
* .tensorflow.tensorforest.LeafStat.LeastSquaresRegressionStats regression = 2;
*/
private com.google.protobuf.SingleFieldBuilderV3<
tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats, tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats.Builder, tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStatsOrBuilder>
getRegressionFieldBuilder() {
if (regressionBuilder_ == null) {
if (!(leafStatCase_ == 2)) {
leafStat_ = tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats.getDefaultInstance();
}
regressionBuilder_ = new com.google.protobuf.SingleFieldBuilderV3<
tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats, tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats.Builder, tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStatsOrBuilder>(
(tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.LeastSquaresRegressionStats) leafStat_,
getParentForChildren(),
isClean());
leafStat_ = null;
}
leafStatCase_ = 2;
onChanged();;
return regressionBuilder_;
}
@java.lang.Override
public final Builder setUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFieldsProto3(unknownFields);
}
@java.lang.Override
public final Builder mergeUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
}
// @@protoc_insertion_point(builder_scope:tensorflow.tensorforest.LeafStat)
}
// @@protoc_insertion_point(class_scope:tensorflow.tensorforest.LeafStat)
private static final tensorflow.tensorforest.FertileStatsOuterClass.LeafStat DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new tensorflow.tensorforest.FertileStatsOuterClass.LeafStat();
}
public static tensorflow.tensorforest.FertileStatsOuterClass.LeafStat getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser
PARSER = new com.google.protobuf.AbstractParser() {
@java.lang.Override
public LeafStat parsePartialFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return new LeafStat(input, extensionRegistry);
}
};
public static com.google.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public com.google.protobuf.Parser getParserForType() {
return PARSER;
}
@java.lang.Override
public tensorflow.tensorforest.FertileStatsOuterClass.LeafStat getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
public interface FertileSlotOrBuilder extends
// @@protoc_insertion_point(interface_extends:tensorflow.tensorforest.FertileSlot)
com.google.protobuf.MessageOrBuilder {
/**
*
* The statistics for *all* the examples seen at this leaf.
*
*
* .tensorflow.tensorforest.LeafStat leaf_stats = 4;
*/
boolean hasLeafStats();
/**
*
* The statistics for *all* the examples seen at this leaf.
*
*
* .tensorflow.tensorforest.LeafStat leaf_stats = 4;
*/
tensorflow.tensorforest.FertileStatsOuterClass.LeafStat getLeafStats();
/**
*
* The statistics for *all* the examples seen at this leaf.
*
*
* .tensorflow.tensorforest.LeafStat leaf_stats = 4;
*/
tensorflow.tensorforest.FertileStatsOuterClass.LeafStatOrBuilder getLeafStatsOrBuilder();
/**
* repeated .tensorflow.tensorforest.SplitCandidate candidates = 1;
*/
java.util.List
getCandidatesList();
/**
* repeated .tensorflow.tensorforest.SplitCandidate candidates = 1;
*/
tensorflow.tensorforest.FertileStatsOuterClass.SplitCandidate getCandidates(int index);
/**
* repeated .tensorflow.tensorforest.SplitCandidate candidates = 1;
*/
int getCandidatesCount();
/**
* repeated .tensorflow.tensorforest.SplitCandidate candidates = 1;
*/
java.util.List
getCandidatesOrBuilderList();
/**
* repeated .tensorflow.tensorforest.SplitCandidate candidates = 1;
*/
tensorflow.tensorforest.FertileStatsOuterClass.SplitCandidateOrBuilder getCandidatesOrBuilder(
int index);
/**
*
* The statistics for the examples seen at this leaf after all the
* splits have been initialized. If post_init_leaf_stats.weight_sum
* is > 0, then all candidates have been initialized. We need to track
* both leaf_stats and post_init_leaf_stats because the first is used
* to create the decision_tree::Leaf and the second is used to infer
* the statistics for the right side of a split (given the leaf side
* stats).
*
*
* .tensorflow.tensorforest.LeafStat post_init_leaf_stats = 6;
*/
boolean hasPostInitLeafStats();
/**
*
* The statistics for the examples seen at this leaf after all the
* splits have been initialized. If post_init_leaf_stats.weight_sum
* is > 0, then all candidates have been initialized. We need to track
* both leaf_stats and post_init_leaf_stats because the first is used
* to create the decision_tree::Leaf and the second is used to infer
* the statistics for the right side of a split (given the leaf side
* stats).
*
*
* .tensorflow.tensorforest.LeafStat post_init_leaf_stats = 6;
*/
tensorflow.tensorforest.FertileStatsOuterClass.LeafStat getPostInitLeafStats();
/**
*
* The statistics for the examples seen at this leaf after all the
* splits have been initialized. If post_init_leaf_stats.weight_sum
* is > 0, then all candidates have been initialized. We need to track
* both leaf_stats and post_init_leaf_stats because the first is used
* to create the decision_tree::Leaf and the second is used to infer
* the statistics for the right side of a split (given the leaf side
* stats).
*
*
* .tensorflow.tensorforest.LeafStat post_init_leaf_stats = 6;
*/
tensorflow.tensorforest.FertileStatsOuterClass.LeafStatOrBuilder getPostInitLeafStatsOrBuilder();
/**
* int32 node_id = 5;
*/
int getNodeId();
/**
* int32 depth = 7;
*/
int getDepth();
}
/**
* Protobuf type {@code tensorflow.tensorforest.FertileSlot}
*/
public static final class FertileSlot extends
com.google.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:tensorflow.tensorforest.FertileSlot)
FertileSlotOrBuilder {
private static final long serialVersionUID = 0L;
// Use FertileSlot.newBuilder() to construct.
private FertileSlot(com.google.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private FertileSlot() {
candidates_ = java.util.Collections.emptyList();
nodeId_ = 0;
depth_ = 0;
}
@java.lang.Override
public final com.google.protobuf.UnknownFieldSet
getUnknownFields() {
return this.unknownFields;
}
private FertileSlot(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
this();
if (extensionRegistry == null) {
throw new java.lang.NullPointerException();
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/**
*
* The statistics for *all* the examples seen at this leaf.
*
*
* .tensorflow.tensorforest.LeafStat leaf_stats = 4;
*/
private com.google.protobuf.SingleFieldBuilderV3<
tensorflow.tensorforest.FertileStatsOuterClass.LeafStat, tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.Builder, tensorflow.tensorforest.FertileStatsOuterClass.LeafStatOrBuilder>
getLeafStatsFieldBuilder() {
if (leafStatsBuilder_ == null) {
leafStatsBuilder_ = new com.google.protobuf.SingleFieldBuilderV3<
tensorflow.tensorforest.FertileStatsOuterClass.LeafStat, tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.Builder, tensorflow.tensorforest.FertileStatsOuterClass.LeafStatOrBuilder>(
getLeafStats(),
getParentForChildren(),
isClean());
leafStats_ = null;
}
return leafStatsBuilder_;
}
private java.util.List candidates_ =
java.util.Collections.emptyList();
private void ensureCandidatesIsMutable() {
if (!((bitField0_ & 0x00000002) == 0x00000002)) {
candidates_ = new java.util.ArrayList(candidates_);
bitField0_ |= 0x00000002;
}
}
private com.google.protobuf.RepeatedFieldBuilderV3<
tensorflow.tensorforest.FertileStatsOuterClass.SplitCandidate, tensorflow.tensorforest.FertileStatsOuterClass.SplitCandidate.Builder, tensorflow.tensorforest.FertileStatsOuterClass.SplitCandidateOrBuilder> candidatesBuilder_;
/**
* repeated .tensorflow.tensorforest.SplitCandidate candidates = 1;
*/
public java.util.List getCandidatesList() {
if (candidatesBuilder_ == null) {
return java.util.Collections.unmodifiableList(candidates_);
} else {
return candidatesBuilder_.getMessageList();
}
}
/**
* repeated .tensorflow.tensorforest.SplitCandidate candidates = 1;
*/
public int getCandidatesCount() {
if (candidatesBuilder_ == null) {
return candidates_.size();
} else {
return candidatesBuilder_.getCount();
}
}
/**
* repeated .tensorflow.tensorforest.SplitCandidate candidates = 1;
*/
public tensorflow.tensorforest.FertileStatsOuterClass.SplitCandidate getCandidates(int index) {
if (candidatesBuilder_ == null) {
return candidates_.get(index);
} else {
return candidatesBuilder_.getMessage(index);
}
}
/**
* repeated .tensorflow.tensorforest.SplitCandidate candidates = 1;
*/
public Builder setCandidates(
int index, tensorflow.tensorforest.FertileStatsOuterClass.SplitCandidate value) {
if (candidatesBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureCandidatesIsMutable();
candidates_.set(index, value);
onChanged();
} else {
candidatesBuilder_.setMessage(index, value);
}
return this;
}
/**
* repeated .tensorflow.tensorforest.SplitCandidate candidates = 1;
*/
public Builder setCandidates(
int index, tensorflow.tensorforest.FertileStatsOuterClass.SplitCandidate.Builder builderForValue) {
if (candidatesBuilder_ == null) {
ensureCandidatesIsMutable();
candidates_.set(index, builderForValue.build());
onChanged();
} else {
candidatesBuilder_.setMessage(index, builderForValue.build());
}
return this;
}
/**
* repeated .tensorflow.tensorforest.SplitCandidate candidates = 1;
*/
public Builder addCandidates(tensorflow.tensorforest.FertileStatsOuterClass.SplitCandidate value) {
if (candidatesBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureCandidatesIsMutable();
candidates_.add(value);
onChanged();
} else {
candidatesBuilder_.addMessage(value);
}
return this;
}
/**
* repeated .tensorflow.tensorforest.SplitCandidate candidates = 1;
*/
public Builder addCandidates(
int index, tensorflow.tensorforest.FertileStatsOuterClass.SplitCandidate value) {
if (candidatesBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureCandidatesIsMutable();
candidates_.add(index, value);
onChanged();
} else {
candidatesBuilder_.addMessage(index, value);
}
return this;
}
/**
* repeated .tensorflow.tensorforest.SplitCandidate candidates = 1;
*/
public Builder addCandidates(
tensorflow.tensorforest.FertileStatsOuterClass.SplitCandidate.Builder builderForValue) {
if (candidatesBuilder_ == null) {
ensureCandidatesIsMutable();
candidates_.add(builderForValue.build());
onChanged();
} else {
candidatesBuilder_.addMessage(builderForValue.build());
}
return this;
}
/**
* repeated .tensorflow.tensorforest.SplitCandidate candidates = 1;
*/
public Builder addCandidates(
int index, tensorflow.tensorforest.FertileStatsOuterClass.SplitCandidate.Builder builderForValue) {
if (candidatesBuilder_ == null) {
ensureCandidatesIsMutable();
candidates_.add(index, builderForValue.build());
onChanged();
} else {
candidatesBuilder_.addMessage(index, builderForValue.build());
}
return this;
}
/**
* repeated .tensorflow.tensorforest.SplitCandidate candidates = 1;
*/
public Builder addAllCandidates(
java.lang.Iterable values) {
if (candidatesBuilder_ == null) {
ensureCandidatesIsMutable();
com.google.protobuf.AbstractMessageLite.Builder.addAll(
values, candidates_);
onChanged();
} else {
candidatesBuilder_.addAllMessages(values);
}
return this;
}
/**
* repeated .tensorflow.tensorforest.SplitCandidate candidates = 1;
*/
public Builder clearCandidates() {
if (candidatesBuilder_ == null) {
candidates_ = java.util.Collections.emptyList();
bitField0_ = (bitField0_ & ~0x00000002);
onChanged();
} else {
candidatesBuilder_.clear();
}
return this;
}
/**
* repeated .tensorflow.tensorforest.SplitCandidate candidates = 1;
*/
public Builder removeCandidates(int index) {
if (candidatesBuilder_ == null) {
ensureCandidatesIsMutable();
candidates_.remove(index);
onChanged();
} else {
candidatesBuilder_.remove(index);
}
return this;
}
/**
* repeated .tensorflow.tensorforest.SplitCandidate candidates = 1;
*/
public tensorflow.tensorforest.FertileStatsOuterClass.SplitCandidate.Builder getCandidatesBuilder(
int index) {
return getCandidatesFieldBuilder().getBuilder(index);
}
/**
* repeated .tensorflow.tensorforest.SplitCandidate candidates = 1;
*/
public tensorflow.tensorforest.FertileStatsOuterClass.SplitCandidateOrBuilder getCandidatesOrBuilder(
int index) {
if (candidatesBuilder_ == null) {
return candidates_.get(index); } else {
return candidatesBuilder_.getMessageOrBuilder(index);
}
}
/**
* repeated .tensorflow.tensorforest.SplitCandidate candidates = 1;
*/
public java.util.List
getCandidatesOrBuilderList() {
if (candidatesBuilder_ != null) {
return candidatesBuilder_.getMessageOrBuilderList();
} else {
return java.util.Collections.unmodifiableList(candidates_);
}
}
/**
* repeated .tensorflow.tensorforest.SplitCandidate candidates = 1;
*/
public tensorflow.tensorforest.FertileStatsOuterClass.SplitCandidate.Builder addCandidatesBuilder() {
return getCandidatesFieldBuilder().addBuilder(
tensorflow.tensorforest.FertileStatsOuterClass.SplitCandidate.getDefaultInstance());
}
/**
* repeated .tensorflow.tensorforest.SplitCandidate candidates = 1;
*/
public tensorflow.tensorforest.FertileStatsOuterClass.SplitCandidate.Builder addCandidatesBuilder(
int index) {
return getCandidatesFieldBuilder().addBuilder(
index, tensorflow.tensorforest.FertileStatsOuterClass.SplitCandidate.getDefaultInstance());
}
/**
* repeated .tensorflow.tensorforest.SplitCandidate candidates = 1;
*/
public java.util.List
getCandidatesBuilderList() {
return getCandidatesFieldBuilder().getBuilderList();
}
private com.google.protobuf.RepeatedFieldBuilderV3<
tensorflow.tensorforest.FertileStatsOuterClass.SplitCandidate, tensorflow.tensorforest.FertileStatsOuterClass.SplitCandidate.Builder, tensorflow.tensorforest.FertileStatsOuterClass.SplitCandidateOrBuilder>
getCandidatesFieldBuilder() {
if (candidatesBuilder_ == null) {
candidatesBuilder_ = new com.google.protobuf.RepeatedFieldBuilderV3<
tensorflow.tensorforest.FertileStatsOuterClass.SplitCandidate, tensorflow.tensorforest.FertileStatsOuterClass.SplitCandidate.Builder, tensorflow.tensorforest.FertileStatsOuterClass.SplitCandidateOrBuilder>(
candidates_,
((bitField0_ & 0x00000002) == 0x00000002),
getParentForChildren(),
isClean());
candidates_ = null;
}
return candidatesBuilder_;
}
private tensorflow.tensorforest.FertileStatsOuterClass.LeafStat postInitLeafStats_ = null;
private com.google.protobuf.SingleFieldBuilderV3<
tensorflow.tensorforest.FertileStatsOuterClass.LeafStat, tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.Builder, tensorflow.tensorforest.FertileStatsOuterClass.LeafStatOrBuilder> postInitLeafStatsBuilder_;
/**
*
* The statistics for the examples seen at this leaf after all the
* splits have been initialized. If post_init_leaf_stats.weight_sum
* is > 0, then all candidates have been initialized. We need to track
* both leaf_stats and post_init_leaf_stats because the first is used
* to create the decision_tree::Leaf and the second is used to infer
* the statistics for the right side of a split (given the leaf side
* stats).
*
*
* .tensorflow.tensorforest.LeafStat post_init_leaf_stats = 6;
*/
public boolean hasPostInitLeafStats() {
return postInitLeafStatsBuilder_ != null || postInitLeafStats_ != null;
}
/**
*
* The statistics for the examples seen at this leaf after all the
* splits have been initialized. If post_init_leaf_stats.weight_sum
* is > 0, then all candidates have been initialized. We need to track
* both leaf_stats and post_init_leaf_stats because the first is used
* to create the decision_tree::Leaf and the second is used to infer
* the statistics for the right side of a split (given the leaf side
* stats).
*
*
* .tensorflow.tensorforest.LeafStat post_init_leaf_stats = 6;
*/
public tensorflow.tensorforest.FertileStatsOuterClass.LeafStat getPostInitLeafStats() {
if (postInitLeafStatsBuilder_ == null) {
return postInitLeafStats_ == null ? tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.getDefaultInstance() : postInitLeafStats_;
} else {
return postInitLeafStatsBuilder_.getMessage();
}
}
/**
*
* The statistics for the examples seen at this leaf after all the
* splits have been initialized. If post_init_leaf_stats.weight_sum
* is > 0, then all candidates have been initialized. We need to track
* both leaf_stats and post_init_leaf_stats because the first is used
* to create the decision_tree::Leaf and the second is used to infer
* the statistics for the right side of a split (given the leaf side
* stats).
*
*
* .tensorflow.tensorforest.LeafStat post_init_leaf_stats = 6;
*/
public Builder setPostInitLeafStats(tensorflow.tensorforest.FertileStatsOuterClass.LeafStat value) {
if (postInitLeafStatsBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
postInitLeafStats_ = value;
onChanged();
} else {
postInitLeafStatsBuilder_.setMessage(value);
}
return this;
}
/**
*
* The statistics for the examples seen at this leaf after all the
* splits have been initialized. If post_init_leaf_stats.weight_sum
* is > 0, then all candidates have been initialized. We need to track
* both leaf_stats and post_init_leaf_stats because the first is used
* to create the decision_tree::Leaf and the second is used to infer
* the statistics for the right side of a split (given the leaf side
* stats).
*
*
* .tensorflow.tensorforest.LeafStat post_init_leaf_stats = 6;
*/
public Builder setPostInitLeafStats(
tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.Builder builderForValue) {
if (postInitLeafStatsBuilder_ == null) {
postInitLeafStats_ = builderForValue.build();
onChanged();
} else {
postInitLeafStatsBuilder_.setMessage(builderForValue.build());
}
return this;
}
/**
*
* The statistics for the examples seen at this leaf after all the
* splits have been initialized. If post_init_leaf_stats.weight_sum
* is > 0, then all candidates have been initialized. We need to track
* both leaf_stats and post_init_leaf_stats because the first is used
* to create the decision_tree::Leaf and the second is used to infer
* the statistics for the right side of a split (given the leaf side
* stats).
*
*
* .tensorflow.tensorforest.LeafStat post_init_leaf_stats = 6;
*/
public Builder mergePostInitLeafStats(tensorflow.tensorforest.FertileStatsOuterClass.LeafStat value) {
if (postInitLeafStatsBuilder_ == null) {
if (postInitLeafStats_ != null) {
postInitLeafStats_ =
tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.newBuilder(postInitLeafStats_).mergeFrom(value).buildPartial();
} else {
postInitLeafStats_ = value;
}
onChanged();
} else {
postInitLeafStatsBuilder_.mergeFrom(value);
}
return this;
}
/**
*
* The statistics for the examples seen at this leaf after all the
* splits have been initialized. If post_init_leaf_stats.weight_sum
* is > 0, then all candidates have been initialized. We need to track
* both leaf_stats and post_init_leaf_stats because the first is used
* to create the decision_tree::Leaf and the second is used to infer
* the statistics for the right side of a split (given the leaf side
* stats).
*
*
* .tensorflow.tensorforest.LeafStat post_init_leaf_stats = 6;
*/
public Builder clearPostInitLeafStats() {
if (postInitLeafStatsBuilder_ == null) {
postInitLeafStats_ = null;
onChanged();
} else {
postInitLeafStats_ = null;
postInitLeafStatsBuilder_ = null;
}
return this;
}
/**
*
* The statistics for the examples seen at this leaf after all the
* splits have been initialized. If post_init_leaf_stats.weight_sum
* is > 0, then all candidates have been initialized. We need to track
* both leaf_stats and post_init_leaf_stats because the first is used
* to create the decision_tree::Leaf and the second is used to infer
* the statistics for the right side of a split (given the leaf side
* stats).
*
*
* .tensorflow.tensorforest.LeafStat post_init_leaf_stats = 6;
*/
public tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.Builder getPostInitLeafStatsBuilder() {
onChanged();
return getPostInitLeafStatsFieldBuilder().getBuilder();
}
/**
*
* The statistics for the examples seen at this leaf after all the
* splits have been initialized. If post_init_leaf_stats.weight_sum
* is > 0, then all candidates have been initialized. We need to track
* both leaf_stats and post_init_leaf_stats because the first is used
* to create the decision_tree::Leaf and the second is used to infer
* the statistics for the right side of a split (given the leaf side
* stats).
*
*
* .tensorflow.tensorforest.LeafStat post_init_leaf_stats = 6;
*/
public tensorflow.tensorforest.FertileStatsOuterClass.LeafStatOrBuilder getPostInitLeafStatsOrBuilder() {
if (postInitLeafStatsBuilder_ != null) {
return postInitLeafStatsBuilder_.getMessageOrBuilder();
} else {
return postInitLeafStats_ == null ?
tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.getDefaultInstance() : postInitLeafStats_;
}
}
/**
*
* The statistics for the examples seen at this leaf after all the
* splits have been initialized. If post_init_leaf_stats.weight_sum
* is > 0, then all candidates have been initialized. We need to track
* both leaf_stats and post_init_leaf_stats because the first is used
* to create the decision_tree::Leaf and the second is used to infer
* the statistics for the right side of a split (given the leaf side
* stats).
*
*
* .tensorflow.tensorforest.LeafStat post_init_leaf_stats = 6;
*/
private com.google.protobuf.SingleFieldBuilderV3<
tensorflow.tensorforest.FertileStatsOuterClass.LeafStat, tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.Builder, tensorflow.tensorforest.FertileStatsOuterClass.LeafStatOrBuilder>
getPostInitLeafStatsFieldBuilder() {
if (postInitLeafStatsBuilder_ == null) {
postInitLeafStatsBuilder_ = new com.google.protobuf.SingleFieldBuilderV3<
tensorflow.tensorforest.FertileStatsOuterClass.LeafStat, tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.Builder, tensorflow.tensorforest.FertileStatsOuterClass.LeafStatOrBuilder>(
getPostInitLeafStats(),
getParentForChildren(),
isClean());
postInitLeafStats_ = null;
}
return postInitLeafStatsBuilder_;
}
private int nodeId_ ;
/**
* int32 node_id = 5;
*/
public int getNodeId() {
return nodeId_;
}
/**
* int32 node_id = 5;
*/
public Builder setNodeId(int value) {
nodeId_ = value;
onChanged();
return this;
}
/**
* int32 node_id = 5;
*/
public Builder clearNodeId() {
nodeId_ = 0;
onChanged();
return this;
}
private int depth_ ;
/**
* int32 depth = 7;
*/
public int getDepth() {
return depth_;
}
/**
* int32 depth = 7;
*/
public Builder setDepth(int value) {
depth_ = value;
onChanged();
return this;
}
/**
* int32 depth = 7;
*/
public Builder clearDepth() {
depth_ = 0;
onChanged();
return this;
}
@java.lang.Override
public final Builder setUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFieldsProto3(unknownFields);
}
@java.lang.Override
public final Builder mergeUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
}
// @@protoc_insertion_point(builder_scope:tensorflow.tensorforest.FertileSlot)
}
// @@protoc_insertion_point(class_scope:tensorflow.tensorforest.FertileSlot)
private static final tensorflow.tensorforest.FertileStatsOuterClass.FertileSlot DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new tensorflow.tensorforest.FertileStatsOuterClass.FertileSlot();
}
public static tensorflow.tensorforest.FertileStatsOuterClass.FertileSlot getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser
PARSER = new com.google.protobuf.AbstractParser() {
@java.lang.Override
public FertileSlot parsePartialFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return new FertileSlot(input, extensionRegistry);
}
};
public static com.google.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public com.google.protobuf.Parser getParserForType() {
return PARSER;
}
@java.lang.Override
public tensorflow.tensorforest.FertileStatsOuterClass.FertileSlot getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
public interface SplitCandidateOrBuilder extends
// @@protoc_insertion_point(interface_extends:tensorflow.tensorforest.SplitCandidate)
com.google.protobuf.MessageOrBuilder {
/**
*
* proto representing the potential node.
*
*
* .tensorflow.decision_trees.BinaryNode split = 1;
*/
boolean hasSplit();
/**
*
* proto representing the potential node.
*
*
* .tensorflow.decision_trees.BinaryNode split = 1;
*/
tensorflow.decision_trees.GenericTreeModel.BinaryNode getSplit();
/**
*
* proto representing the potential node.
*
*
* .tensorflow.decision_trees.BinaryNode split = 1;
*/
tensorflow.decision_trees.GenericTreeModel.BinaryNodeOrBuilder getSplitOrBuilder();
/**
*
* Right counts are inferred from FertileSlot.leaf_stats and left.
*
*
* .tensorflow.tensorforest.LeafStat left_stats = 4;
*/
boolean hasLeftStats();
/**
*
* Right counts are inferred from FertileSlot.leaf_stats and left.
*
*
* .tensorflow.tensorforest.LeafStat left_stats = 4;
*/
tensorflow.tensorforest.FertileStatsOuterClass.LeafStat getLeftStats();
/**
*
* Right counts are inferred from FertileSlot.leaf_stats and left.
*
*
* .tensorflow.tensorforest.LeafStat left_stats = 4;
*/
tensorflow.tensorforest.FertileStatsOuterClass.LeafStatOrBuilder getLeftStatsOrBuilder();
/**
*
* Right stats (not full counts) are kept here.
*
*
* .tensorflow.tensorforest.LeafStat right_stats = 5;
*/
boolean hasRightStats();
/**
*
* Right stats (not full counts) are kept here.
*
*
* .tensorflow.tensorforest.LeafStat right_stats = 5;
*/
tensorflow.tensorforest.FertileStatsOuterClass.LeafStat getRightStats();
/**
*
* Right stats (not full counts) are kept here.
*
*
* .tensorflow.tensorforest.LeafStat right_stats = 5;
*/
tensorflow.tensorforest.FertileStatsOuterClass.LeafStatOrBuilder getRightStatsOrBuilder();
/**
*
* Fields used when training with a graph runner.
*
*
* string unique_id = 6;
*/
java.lang.String getUniqueId();
/**
*
* Fields used when training with a graph runner.
*
*
* string unique_id = 6;
*/
com.google.protobuf.ByteString
getUniqueIdBytes();
}
/**
* Protobuf type {@code tensorflow.tensorforest.SplitCandidate}
*/
public static final class SplitCandidate extends
com.google.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:tensorflow.tensorforest.SplitCandidate)
SplitCandidateOrBuilder {
private static final long serialVersionUID = 0L;
// Use SplitCandidate.newBuilder() to construct.
private SplitCandidate(com.google.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private SplitCandidate() {
uniqueId_ = "";
}
@java.lang.Override
public final com.google.protobuf.UnknownFieldSet
getUnknownFields() {
return this.unknownFields;
}
private SplitCandidate(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
this();
if (extensionRegistry == null) {
throw new java.lang.NullPointerException();
}
int mutable_bitField0_ = 0;
com.google.protobuf.UnknownFieldSet.Builder unknownFields =
com.google.protobuf.UnknownFieldSet.newBuilder();
try {
boolean done = false;
while (!done) {
int tag = input.readTag();
switch (tag) {
case 0:
done = true;
break;
case 10: {
tensorflow.decision_trees.GenericTreeModel.BinaryNode.Builder subBuilder = null;
if (split_ != null) {
subBuilder = split_.toBuilder();
}
split_ = input.readMessage(tensorflow.decision_trees.GenericTreeModel.BinaryNode.parser(), extensionRegistry);
if (subBuilder != null) {
subBuilder.mergeFrom(split_);
split_ = subBuilder.buildPartial();
}
break;
}
case 34: {
tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.Builder subBuilder = null;
if (leftStats_ != null) {
subBuilder = leftStats_.toBuilder();
}
leftStats_ = input.readMessage(tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.parser(), extensionRegistry);
if (subBuilder != null) {
subBuilder.mergeFrom(leftStats_);
leftStats_ = subBuilder.buildPartial();
}
break;
}
case 42: {
tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.Builder subBuilder = null;
if (rightStats_ != null) {
subBuilder = rightStats_.toBuilder();
}
rightStats_ = input.readMessage(tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.parser(), extensionRegistry);
if (subBuilder != null) {
subBuilder.mergeFrom(rightStats_);
rightStats_ = subBuilder.buildPartial();
}
break;
}
case 50: {
java.lang.String s = input.readStringRequireUtf8();
uniqueId_ = s;
break;
}
default: {
if (!parseUnknownFieldProto3(
input, unknownFields, extensionRegistry, tag)) {
done = true;
}
break;
}
}
}
} catch (com.google.protobuf.InvalidProtocolBufferException e) {
throw e.setUnfinishedMessage(this);
} catch (java.io.IOException e) {
throw new com.google.protobuf.InvalidProtocolBufferException(
e).setUnfinishedMessage(this);
} finally {
this.unknownFields = unknownFields.build();
makeExtensionsImmutable();
}
}
public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return tensorflow.tensorforest.FertileStatsOuterClass.internal_static_tensorflow_tensorforest_SplitCandidate_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return tensorflow.tensorforest.FertileStatsOuterClass.internal_static_tensorflow_tensorforest_SplitCandidate_fieldAccessorTable
.ensureFieldAccessorsInitialized(
tensorflow.tensorforest.FertileStatsOuterClass.SplitCandidate.class, tensorflow.tensorforest.FertileStatsOuterClass.SplitCandidate.Builder.class);
}
public static final int SPLIT_FIELD_NUMBER = 1;
private tensorflow.decision_trees.GenericTreeModel.BinaryNode split_;
/**
*
* proto representing the potential node.
*
*
* .tensorflow.decision_trees.BinaryNode split = 1;
*/
public boolean hasSplit() {
return split_ != null;
}
/**
*
* proto representing the potential node.
*
*
* .tensorflow.decision_trees.BinaryNode split = 1;
*/
public tensorflow.decision_trees.GenericTreeModel.BinaryNode getSplit() {
return split_ == null ? tensorflow.decision_trees.GenericTreeModel.BinaryNode.getDefaultInstance() : split_;
}
/**
*
* proto representing the potential node.
*
*
* .tensorflow.decision_trees.BinaryNode split = 1;
*/
public tensorflow.decision_trees.GenericTreeModel.BinaryNodeOrBuilder getSplitOrBuilder() {
return getSplit();
}
public static final int LEFT_STATS_FIELD_NUMBER = 4;
private tensorflow.tensorforest.FertileStatsOuterClass.LeafStat leftStats_;
/**
*
* Right counts are inferred from FertileSlot.leaf_stats and left.
*
*
* .tensorflow.tensorforest.LeafStat left_stats = 4;
*/
public boolean hasLeftStats() {
return leftStats_ != null;
}
/**
*
* Right counts are inferred from FertileSlot.leaf_stats and left.
*
*
* .tensorflow.tensorforest.LeafStat left_stats = 4;
*/
public tensorflow.tensorforest.FertileStatsOuterClass.LeafStat getLeftStats() {
return leftStats_ == null ? tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.getDefaultInstance() : leftStats_;
}
/**
*
* Right counts are inferred from FertileSlot.leaf_stats and left.
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/**
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onChanged();
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/**
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onChanged();
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onChanged();
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/**
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split_ = null;
onChanged();
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splitBuilder_ = null;
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return this;
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/**
*
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*
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*/
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*
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*
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private tensorflow.tensorforest.FertileStatsOuterClass.LeafStat leftStats_ = null;
private com.google.protobuf.SingleFieldBuilderV3<
tensorflow.tensorforest.FertileStatsOuterClass.LeafStat, tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.Builder, tensorflow.tensorforest.FertileStatsOuterClass.LeafStatOrBuilder> leftStatsBuilder_;
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*
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*
*
* .tensorflow.tensorforest.LeafStat left_stats = 4;
*/
public boolean hasLeftStats() {
return leftStatsBuilder_ != null || leftStats_ != null;
}
/**
*
* Right counts are inferred from FertileSlot.leaf_stats and left.
*
*
* .tensorflow.tensorforest.LeafStat left_stats = 4;
*/
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/**
*
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*
*
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*/
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if (leftStatsBuilder_ == null) {
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throw new NullPointerException();
}
leftStats_ = value;
onChanged();
} else {
leftStatsBuilder_.setMessage(value);
}
return this;
}
/**
*
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*
*
* .tensorflow.tensorforest.LeafStat left_stats = 4;
*/
public Builder setLeftStats(
tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.Builder builderForValue) {
if (leftStatsBuilder_ == null) {
leftStats_ = builderForValue.build();
onChanged();
} else {
leftStatsBuilder_.setMessage(builderForValue.build());
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return this;
}
/**
*
* Right counts are inferred from FertileSlot.leaf_stats and left.
*
*
* .tensorflow.tensorforest.LeafStat left_stats = 4;
*/
public Builder mergeLeftStats(tensorflow.tensorforest.FertileStatsOuterClass.LeafStat value) {
if (leftStatsBuilder_ == null) {
if (leftStats_ != null) {
leftStats_ =
tensorflow.tensorforest.FertileStatsOuterClass.LeafStat.newBuilder(leftStats_).mergeFrom(value).buildPartial();
} else {
leftStats_ = value;
}
onChanged();
} else {
leftStatsBuilder_.mergeFrom(value);
}
return this;
}
/**
*
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*
*
* .tensorflow.tensorforest.LeafStat left_stats = 4;
*/
public Builder clearLeftStats() {
if (leftStatsBuilder_ == null) {
leftStats_ = null;
onChanged();
} else {
leftStats_ = null;
leftStatsBuilder_ = null;
}
return this;
}
/**
*
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*
*
* .tensorflow.tensorforest.LeafStat left_stats = 4;
*/
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onChanged();
return getLeftStatsFieldBuilder().getBuilder();
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/**
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*
*
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*
*
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*
* Right stats (not full counts) are kept here.
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*
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rightStats_ = value;
onChanged();
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/**
*
* Right stats (not full counts) are kept here.
*
*
* .tensorflow.tensorforest.LeafStat right_stats = 5;
*/
public Builder setRightStats(
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if (rightStatsBuilder_ == null) {
rightStats_ = builderForValue.build();
onChanged();
} else {
rightStatsBuilder_.setMessage(builderForValue.build());
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return this;
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/**
*
* Right stats (not full counts) are kept here.
*
*
* .tensorflow.tensorforest.LeafStat right_stats = 5;
*/
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onChanged();
} else {
rightStatsBuilder_.mergeFrom(value);
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/**
*
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onChanged();
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/**
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/**
*
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/**
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* Nodes are listed in order that they were traversed. i.e. nodes_visited[0]
* is the tree's root node.
*
*
* repeated .tensorflow.decision_trees.TreeNode nodes_visited = 1;
*/
public Builder setNodesVisited(
int index, tensorflow.decision_trees.GenericTreeModel.TreeNode.Builder builderForValue) {
if (nodesVisitedBuilder_ == null) {
ensureNodesVisitedIsMutable();
nodesVisited_.set(index, builderForValue.build());
onChanged();
} else {
nodesVisitedBuilder_.setMessage(index, builderForValue.build());
}
return this;
}
/**
*
* Nodes are listed in order that they were traversed. i.e. nodes_visited[0]
* is the tree's root node.
*
*
* repeated .tensorflow.decision_trees.TreeNode nodes_visited = 1;
*/
public Builder addNodesVisited(tensorflow.decision_trees.GenericTreeModel.TreeNode value) {
if (nodesVisitedBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureNodesVisitedIsMutable();
nodesVisited_.add(value);
onChanged();
} else {
nodesVisitedBuilder_.addMessage(value);
}
return this;
}
/**
*
* Nodes are listed in order that they were traversed. i.e. nodes_visited[0]
* is the tree's root node.
*
*
* repeated .tensorflow.decision_trees.TreeNode nodes_visited = 1;
*/
public Builder addNodesVisited(
int index, tensorflow.decision_trees.GenericTreeModel.TreeNode value) {
if (nodesVisitedBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureNodesVisitedIsMutable();
nodesVisited_.add(index, value);
onChanged();
} else {
nodesVisitedBuilder_.addMessage(index, value);
}
return this;
}
/**
*
* Nodes are listed in order that they were traversed. i.e. nodes_visited[0]
* is the tree's root node.
*
*
* repeated .tensorflow.decision_trees.TreeNode nodes_visited = 1;
*/
public Builder addNodesVisited(
tensorflow.decision_trees.GenericTreeModel.TreeNode.Builder builderForValue) {
if (nodesVisitedBuilder_ == null) {
ensureNodesVisitedIsMutable();
nodesVisited_.add(builderForValue.build());
onChanged();
} else {
nodesVisitedBuilder_.addMessage(builderForValue.build());
}
return this;
}
/**
*
* Nodes are listed in order that they were traversed. i.e. nodes_visited[0]
* is the tree's root node.
*
*
* repeated .tensorflow.decision_trees.TreeNode nodes_visited = 1;
*/
public Builder addNodesVisited(
int index, tensorflow.decision_trees.GenericTreeModel.TreeNode.Builder builderForValue) {
if (nodesVisitedBuilder_ == null) {
ensureNodesVisitedIsMutable();
nodesVisited_.add(index, builderForValue.build());
onChanged();
} else {
nodesVisitedBuilder_.addMessage(index, builderForValue.build());
}
return this;
}
/**
*
* Nodes are listed in order that they were traversed. i.e. nodes_visited[0]
* is the tree's root node.
*
*
* repeated .tensorflow.decision_trees.TreeNode nodes_visited = 1;
*/
public Builder addAllNodesVisited(
java.lang.Iterable values) {
if (nodesVisitedBuilder_ == null) {
ensureNodesVisitedIsMutable();
com.google.protobuf.AbstractMessageLite.Builder.addAll(
values, nodesVisited_);
onChanged();
} else {
nodesVisitedBuilder_.addAllMessages(values);
}
return this;
}
/**
*
* Nodes are listed in order that they were traversed. i.e. nodes_visited[0]
* is the tree's root node.
*
*
* repeated .tensorflow.decision_trees.TreeNode nodes_visited = 1;
*/
public Builder clearNodesVisited() {
if (nodesVisitedBuilder_ == null) {
nodesVisited_ = java.util.Collections.emptyList();
bitField0_ = (bitField0_ & ~0x00000001);
onChanged();
} else {
nodesVisitedBuilder_.clear();
}
return this;
}
/**
*
* Nodes are listed in order that they were traversed. i.e. nodes_visited[0]
* is the tree's root node.
*
*
* repeated .tensorflow.decision_trees.TreeNode nodes_visited = 1;
*/
public Builder removeNodesVisited(int index) {
if (nodesVisitedBuilder_ == null) {
ensureNodesVisitedIsMutable();
nodesVisited_.remove(index);
onChanged();
} else {
nodesVisitedBuilder_.remove(index);
}
return this;
}
/**
*
* Nodes are listed in order that they were traversed. i.e. nodes_visited[0]
* is the tree's root node.
*
*
* repeated .tensorflow.decision_trees.TreeNode nodes_visited = 1;
*/
public tensorflow.decision_trees.GenericTreeModel.TreeNode.Builder getNodesVisitedBuilder(
int index) {
return getNodesVisitedFieldBuilder().getBuilder(index);
}
/**
*
* Nodes are listed in order that they were traversed. i.e. nodes_visited[0]
* is the tree's root node.
*
*
* repeated .tensorflow.decision_trees.TreeNode nodes_visited = 1;
*/
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int index) {
if (nodesVisitedBuilder_ == null) {
return nodesVisited_.get(index); } else {
return nodesVisitedBuilder_.getMessageOrBuilder(index);
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}
/**
*
* Nodes are listed in order that they were traversed. i.e. nodes_visited[0]
* is the tree's root node.
*
*
* repeated .tensorflow.decision_trees.TreeNode nodes_visited = 1;
*/
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getNodesVisitedOrBuilderList() {
if (nodesVisitedBuilder_ != null) {
return nodesVisitedBuilder_.getMessageOrBuilderList();
} else {
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/**
*
* Nodes are listed in order that they were traversed. i.e. nodes_visited[0]
* is the tree's root node.
*
*
* repeated .tensorflow.decision_trees.TreeNode nodes_visited = 1;
*/
public tensorflow.decision_trees.GenericTreeModel.TreeNode.Builder addNodesVisitedBuilder() {
return getNodesVisitedFieldBuilder().addBuilder(
tensorflow.decision_trees.GenericTreeModel.TreeNode.getDefaultInstance());
}
/**
*
* Nodes are listed in order that they were traversed. i.e. nodes_visited[0]
* is the tree's root node.
*
*
* repeated .tensorflow.decision_trees.TreeNode nodes_visited = 1;
*/
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int index) {
return getNodesVisitedFieldBuilder().addBuilder(
index, tensorflow.decision_trees.GenericTreeModel.TreeNode.getDefaultInstance());
}
/**
*
* Nodes are listed in order that they were traversed. i.e. nodes_visited[0]
* is the tree's root node.
*
*
* repeated .tensorflow.decision_trees.TreeNode nodes_visited = 1;
*/
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getNodesVisitedBuilderList() {
return getNodesVisitedFieldBuilder().getBuilderList();
}
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getNodesVisitedFieldBuilder() {
if (nodesVisitedBuilder_ == null) {
nodesVisitedBuilder_ = new com.google.protobuf.RepeatedFieldBuilderV3<
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nodesVisited_,
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getParentForChildren(),
isClean());
nodesVisited_ = null;
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return nodesVisitedBuilder_;
}
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// @@protoc_insertion_point(builder_scope:tensorflow.tensorforest.TreePath)
}
// @@protoc_insertion_point(class_scope:tensorflow.tensorforest.TreePath)
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public com.google.protobuf.Parser getParserForType() {
return PARSER;
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// @@protoc_insertion_point(outer_class_scope)
}