tensorflow.boosted_trees.learner.Learner Maven / Gradle / Ivy
// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: tensorflow/contrib/boosted_trees/proto/learner.proto
package tensorflow.boosted_trees.learner;
public final class Learner {
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public static tensorflow.boosted_trees.learner.Learner.TreeConstraintsConfig parseFrom(
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return PARSER.parseFrom(data, extensionRegistry);
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public static tensorflow.boosted_trees.learner.Learner.TreeConstraintsConfig parseFrom(
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return PARSER.parseFrom(data);
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public static tensorflow.boosted_trees.learner.Learner.TreeConstraintsConfig parseFrom(
com.google.protobuf.ByteString data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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return PARSER.parseFrom(data, extensionRegistry);
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public static tensorflow.boosted_trees.learner.Learner.TreeConstraintsConfig parseFrom(
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public static tensorflow.boosted_trees.learner.Learner.TreeConstraintsConfig parseFrom(
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public static tensorflow.boosted_trees.learner.Learner.TreeConstraintsConfig parseFrom(
com.google.protobuf.CodedInputStream input,
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public static Builder newBuilder(tensorflow.boosted_trees.learner.Learner.TreeConstraintsConfig prototype) {
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/**
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* Protobuf type {@code tensorflow.boosted_trees.learner.TreeConstraintsConfig}
*/
public static final class Builder extends
com.google.protobuf.GeneratedMessageV3.Builder implements
// @@protoc_insertion_point(builder_implements:tensorflow.boosted_trees.learner.TreeConstraintsConfig)
tensorflow.boosted_trees.learner.Learner.TreeConstraintsConfigOrBuilder {
public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
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maxTreeDepth_ = 0;
minNodeWeight_ = 0F;
maxNumberOfUniqueFeatureColumns_ = 0L;
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throw newUninitializedMessageException(result);
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return result;
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@java.lang.Override
public tensorflow.boosted_trees.learner.Learner.TreeConstraintsConfig buildPartial() {
tensorflow.boosted_trees.learner.Learner.TreeConstraintsConfig result = new tensorflow.boosted_trees.learner.Learner.TreeConstraintsConfig(this);
result.maxTreeDepth_ = maxTreeDepth_;
result.minNodeWeight_ = minNodeWeight_;
result.maxNumberOfUniqueFeatureColumns_ = maxNumberOfUniqueFeatureColumns_;
onBuilt();
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private int maxTreeDepth_ ;
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/**
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*/
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maxTreeDepth_ = value;
onChanged();
return this;
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/**
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*
*
* uint32 max_tree_depth = 1;
*/
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maxTreeDepth_ = 0;
onChanged();
return this;
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onChanged();
return this;
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/**
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*
*
* float min_node_weight = 2;
*/
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minNodeWeight_ = 0F;
onChanged();
return this;
}
private long maxNumberOfUniqueFeatureColumns_ ;
/**
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*
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/**
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maxNumberOfUniqueFeatureColumns_ = value;
onChanged();
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/**
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*
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onChanged();
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// @@protoc_insertion_point(builder_scope:tensorflow.boosted_trees.learner.TreeConstraintsConfig)
}
// @@protoc_insertion_point(class_scope:tensorflow.boosted_trees.learner.TreeConstraintsConfig)
private static final tensorflow.boosted_trees.learner.Learner.TreeConstraintsConfig DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new tensorflow.boosted_trees.learner.Learner.TreeConstraintsConfig();
}
public static tensorflow.boosted_trees.learner.Learner.TreeConstraintsConfig getDefaultInstance() {
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}
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public TreeConstraintsConfig parsePartialFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return new TreeConstraintsConfig(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.boosted_trees.learner.Learner.TreeConstraintsConfig getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
public interface LearningRateConfigOrBuilder extends
// @@protoc_insertion_point(interface_extends:tensorflow.boosted_trees.learner.LearningRateConfig)
com.google.protobuf.MessageOrBuilder {
/**
* .tensorflow.boosted_trees.learner.LearningRateFixedConfig fixed = 1;
*/
boolean hasFixed();
/**
* .tensorflow.boosted_trees.learner.LearningRateFixedConfig fixed = 1;
*/
tensorflow.boosted_trees.learner.Learner.LearningRateFixedConfig getFixed();
/**
* .tensorflow.boosted_trees.learner.LearningRateFixedConfig fixed = 1;
*/
tensorflow.boosted_trees.learner.Learner.LearningRateFixedConfigOrBuilder getFixedOrBuilder();
/**
* .tensorflow.boosted_trees.learner.LearningRateDropoutDrivenConfig dropout = 2;
*/
boolean hasDropout();
/**
* .tensorflow.boosted_trees.learner.LearningRateDropoutDrivenConfig dropout = 2;
*/
tensorflow.boosted_trees.learner.Learner.LearningRateDropoutDrivenConfig getDropout();
/**
* .tensorflow.boosted_trees.learner.LearningRateDropoutDrivenConfig dropout = 2;
*/
tensorflow.boosted_trees.learner.Learner.LearningRateDropoutDrivenConfigOrBuilder getDropoutOrBuilder();
/**
* .tensorflow.boosted_trees.learner.LearningRateLineSearchConfig line_search = 3;
*/
boolean hasLineSearch();
/**
* .tensorflow.boosted_trees.learner.LearningRateLineSearchConfig line_search = 3;
*/
tensorflow.boosted_trees.learner.Learner.LearningRateLineSearchConfig getLineSearch();
/**
* .tensorflow.boosted_trees.learner.LearningRateLineSearchConfig line_search = 3;
*/
tensorflow.boosted_trees.learner.Learner.LearningRateLineSearchConfigOrBuilder getLineSearchOrBuilder();
public tensorflow.boosted_trees.learner.Learner.LearningRateConfig.TunerCase getTunerCase();
}
/**
*
* LearningRateConfig describes all supported learning rate tuners.
*
*
* Protobuf type {@code tensorflow.boosted_trees.learner.LearningRateConfig}
*/
public static final class LearningRateConfig extends
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// @@protoc_insertion_point(message_implements:tensorflow.boosted_trees.learner.LearningRateConfig)
LearningRateConfigOrBuilder {
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subBuilder.mergeFrom((tensorflow.boosted_trees.learner.Learner.LearningRateDropoutDrivenConfig) tuner_);
tuner_ = subBuilder.buildPartial();
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tensorflow.boosted_trees.learner.Learner.LearningRateLineSearchConfig.Builder subBuilder = null;
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subBuilder.mergeFrom((tensorflow.boosted_trees.learner.Learner.LearningRateLineSearchConfig) tuner_);
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public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
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LINE_SEARCH(3),
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return TunerCase.forNumber(
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*/
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*/
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*/
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if (tunerCase_ == 1) {
return (tensorflow.boosted_trees.learner.Learner.LearningRateFixedConfig) tuner_;
}
return tensorflow.boosted_trees.learner.Learner.LearningRateFixedConfig.getDefaultInstance();
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public static final int DROPOUT_FIELD_NUMBER = 2;
/**
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*/
public boolean hasDropout() {
return tunerCase_ == 2;
}
/**
* .tensorflow.boosted_trees.learner.LearningRateDropoutDrivenConfig dropout = 2;
*/
public tensorflow.boosted_trees.learner.Learner.LearningRateDropoutDrivenConfig getDropout() {
if (tunerCase_ == 2) {
return (tensorflow.boosted_trees.learner.Learner.LearningRateDropoutDrivenConfig) tuner_;
}
return tensorflow.boosted_trees.learner.Learner.LearningRateDropoutDrivenConfig.getDefaultInstance();
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/**
* .tensorflow.boosted_trees.learner.LearningRateDropoutDrivenConfig dropout = 2;
*/
public tensorflow.boosted_trees.learner.Learner.LearningRateDropoutDrivenConfigOrBuilder getDropoutOrBuilder() {
if (tunerCase_ == 2) {
return (tensorflow.boosted_trees.learner.Learner.LearningRateDropoutDrivenConfig) tuner_;
}
return tensorflow.boosted_trees.learner.Learner.LearningRateDropoutDrivenConfig.getDefaultInstance();
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public static final int LINE_SEARCH_FIELD_NUMBER = 3;
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*/
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return tunerCase_ == 3;
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/**
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*/
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if (tunerCase_ == 3) {
return (tensorflow.boosted_trees.learner.Learner.LearningRateLineSearchConfig) tuner_;
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/**
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*/
public tensorflow.boosted_trees.learner.Learner.LearningRateLineSearchConfigOrBuilder getLineSearchOrBuilder() {
if (tunerCase_ == 3) {
return (tensorflow.boosted_trees.learner.Learner.LearningRateLineSearchConfig) tuner_;
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output.writeMessage(1, (tensorflow.boosted_trees.learner.Learner.LearningRateFixedConfig) tuner_);
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if (tunerCase_ == 2) {
output.writeMessage(2, (tensorflow.boosted_trees.learner.Learner.LearningRateDropoutDrivenConfig) tuner_);
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if (tunerCase_ == 3) {
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unknownFields.writeTo(output);
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if (tunerCase_ == 1) {
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@java.lang.Override
public boolean equals(final java.lang.Object obj) {
if (obj == this) {
return true;
}
if (!(obj instanceof tensorflow.boosted_trees.learner.Learner.LearningRateConfig)) {
return super.equals(obj);
}
tensorflow.boosted_trees.learner.Learner.LearningRateConfig other = (tensorflow.boosted_trees.learner.Learner.LearningRateConfig) obj;
boolean result = true;
result = result && getTunerCase().equals(
other.getTunerCase());
if (!result) return false;
switch (tunerCase_) {
case 1:
result = result && getFixed()
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break;
case 2:
result = result && getDropout()
.equals(other.getDropout());
break;
case 3:
result = result && getLineSearch()
.equals(other.getLineSearch());
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();
switch (tunerCase_) {
case 1:
hash = (37 * hash) + FIXED_FIELD_NUMBER;
hash = (53 * hash) + getFixed().hashCode();
break;
case 2:
hash = (37 * hash) + DROPOUT_FIELD_NUMBER;
hash = (53 * hash) + getDropout().hashCode();
break;
case 3:
hash = (37 * hash) + LINE_SEARCH_FIELD_NUMBER;
hash = (53 * hash) + getLineSearch().hashCode();
break;
case 0:
default:
}
hash = (29 * hash) + unknownFields.hashCode();
memoizedHashCode = hash;
return hash;
}
public static tensorflow.boosted_trees.learner.Learner.LearningRateConfig parseFrom(
java.nio.ByteBuffer data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static tensorflow.boosted_trees.learner.Learner.LearningRateConfig parseFrom(
java.nio.ByteBuffer data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static tensorflow.boosted_trees.learner.Learner.LearningRateConfig parseFrom(
com.google.protobuf.ByteString data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static tensorflow.boosted_trees.learner.Learner.LearningRateConfig parseFrom(
com.google.protobuf.ByteString data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static tensorflow.boosted_trees.learner.Learner.LearningRateConfig parseFrom(byte[] data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static tensorflow.boosted_trees.learner.Learner.LearningRateConfig parseFrom(
byte[] data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static tensorflow.boosted_trees.learner.Learner.LearningRateConfig parseFrom(java.io.InputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static tensorflow.boosted_trees.learner.Learner.LearningRateConfig 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.boosted_trees.learner.Learner.LearningRateConfig parseDelimitedFrom(java.io.InputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseDelimitedWithIOException(PARSER, input);
}
public static tensorflow.boosted_trees.learner.Learner.LearningRateConfig 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.boosted_trees.learner.Learner.LearningRateConfig parseFrom(
com.google.protobuf.CodedInputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static tensorflow.boosted_trees.learner.Learner.LearningRateConfig 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.boosted_trees.learner.Learner.LearningRateConfig 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;
}
/**
*
* LearningRateConfig describes all supported learning rate tuners.
*
*
* Protobuf type {@code tensorflow.boosted_trees.learner.LearningRateConfig}
*/
public static final class Builder extends
com.google.protobuf.GeneratedMessageV3.Builder implements
// @@protoc_insertion_point(builder_implements:tensorflow.boosted_trees.learner.LearningRateConfig)
tensorflow.boosted_trees.learner.Learner.LearningRateConfigOrBuilder {
public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return tensorflow.boosted_trees.learner.Learner.internal_static_tensorflow_boosted_trees_learner_LearningRateConfig_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return tensorflow.boosted_trees.learner.Learner.internal_static_tensorflow_boosted_trees_learner_LearningRateConfig_fieldAccessorTable
.ensureFieldAccessorsInitialized(
tensorflow.boosted_trees.learner.Learner.LearningRateConfig.class, tensorflow.boosted_trees.learner.Learner.LearningRateConfig.Builder.class);
}
// Construct using tensorflow.boosted_trees.learner.Learner.LearningRateConfig.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();
tunerCase_ = 0;
tuner_ = null;
return this;
}
@java.lang.Override
public com.google.protobuf.Descriptors.Descriptor
getDescriptorForType() {
return tensorflow.boosted_trees.learner.Learner.internal_static_tensorflow_boosted_trees_learner_LearningRateConfig_descriptor;
}
@java.lang.Override
public tensorflow.boosted_trees.learner.Learner.LearningRateConfig getDefaultInstanceForType() {
return tensorflow.boosted_trees.learner.Learner.LearningRateConfig.getDefaultInstance();
}
@java.lang.Override
public tensorflow.boosted_trees.learner.Learner.LearningRateConfig build() {
tensorflow.boosted_trees.learner.Learner.LearningRateConfig result = buildPartial();
if (!result.isInitialized()) {
throw newUninitializedMessageException(result);
}
return result;
}
@java.lang.Override
public tensorflow.boosted_trees.learner.Learner.LearningRateConfig buildPartial() {
tensorflow.boosted_trees.learner.Learner.LearningRateConfig result = new tensorflow.boosted_trees.learner.Learner.LearningRateConfig(this);
if (tunerCase_ == 1) {
if (fixedBuilder_ == null) {
result.tuner_ = tuner_;
} else {
result.tuner_ = fixedBuilder_.build();
}
}
if (tunerCase_ == 2) {
if (dropoutBuilder_ == null) {
result.tuner_ = tuner_;
} else {
result.tuner_ = dropoutBuilder_.build();
}
}
if (tunerCase_ == 3) {
if (lineSearchBuilder_ == null) {
result.tuner_ = tuner_;
} else {
result.tuner_ = lineSearchBuilder_.build();
}
}
result.tunerCase_ = tunerCase_;
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.boosted_trees.learner.Learner.LearningRateConfig) {
return mergeFrom((tensorflow.boosted_trees.learner.Learner.LearningRateConfig)other);
} else {
super.mergeFrom(other);
return this;
}
}
public Builder mergeFrom(tensorflow.boosted_trees.learner.Learner.LearningRateConfig other) {
if (other == tensorflow.boosted_trees.learner.Learner.LearningRateConfig.getDefaultInstance()) return this;
switch (other.getTunerCase()) {
case FIXED: {
mergeFixed(other.getFixed());
break;
}
case DROPOUT: {
mergeDropout(other.getDropout());
break;
}
case LINE_SEARCH: {
mergeLineSearch(other.getLineSearch());
break;
}
case TUNER_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.boosted_trees.learner.Learner.LearningRateConfig parsedMessage = null;
try {
parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
} catch (com.google.protobuf.InvalidProtocolBufferException e) {
parsedMessage = (tensorflow.boosted_trees.learner.Learner.LearningRateConfig) e.getUnfinishedMessage();
throw e.unwrapIOException();
} finally {
if (parsedMessage != null) {
mergeFrom(parsedMessage);
}
}
return this;
}
private int tunerCase_ = 0;
private java.lang.Object tuner_;
public TunerCase
getTunerCase() {
return TunerCase.forNumber(
tunerCase_);
}
public Builder clearTuner() {
tunerCase_ = 0;
tuner_ = null;
onChanged();
return this;
}
private com.google.protobuf.SingleFieldBuilderV3<
tensorflow.boosted_trees.learner.Learner.LearningRateFixedConfig, tensorflow.boosted_trees.learner.Learner.LearningRateFixedConfig.Builder, tensorflow.boosted_trees.learner.Learner.LearningRateFixedConfigOrBuilder> fixedBuilder_;
/**
* .tensorflow.boosted_trees.learner.LearningRateFixedConfig fixed = 1;
*/
public boolean hasFixed() {
return tunerCase_ == 1;
}
/**
* .tensorflow.boosted_trees.learner.LearningRateFixedConfig fixed = 1;
*/
public tensorflow.boosted_trees.learner.Learner.LearningRateFixedConfig getFixed() {
if (fixedBuilder_ == null) {
if (tunerCase_ == 1) {
return (tensorflow.boosted_trees.learner.Learner.LearningRateFixedConfig) tuner_;
}
return tensorflow.boosted_trees.learner.Learner.LearningRateFixedConfig.getDefaultInstance();
} else {
if (tunerCase_ == 1) {
return fixedBuilder_.getMessage();
}
return tensorflow.boosted_trees.learner.Learner.LearningRateFixedConfig.getDefaultInstance();
}
}
/**
* .tensorflow.boosted_trees.learner.LearningRateFixedConfig fixed = 1;
*/
public Builder setFixed(tensorflow.boosted_trees.learner.Learner.LearningRateFixedConfig value) {
if (fixedBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
tuner_ = value;
onChanged();
} else {
fixedBuilder_.setMessage(value);
}
tunerCase_ = 1;
return this;
}
/**
* .tensorflow.boosted_trees.learner.LearningRateFixedConfig fixed = 1;
*/
public Builder setFixed(
tensorflow.boosted_trees.learner.Learner.LearningRateFixedConfig.Builder builderForValue) {
if (fixedBuilder_ == null) {
tuner_ = builderForValue.build();
onChanged();
} else {
fixedBuilder_.setMessage(builderForValue.build());
}
tunerCase_ = 1;
return this;
}
/**
* .tensorflow.boosted_trees.learner.LearningRateFixedConfig fixed = 1;
*/
public Builder mergeFixed(tensorflow.boosted_trees.learner.Learner.LearningRateFixedConfig value) {
if (fixedBuilder_ == null) {
if (tunerCase_ == 1 &&
tuner_ != tensorflow.boosted_trees.learner.Learner.LearningRateFixedConfig.getDefaultInstance()) {
tuner_ = tensorflow.boosted_trees.learner.Learner.LearningRateFixedConfig.newBuilder((tensorflow.boosted_trees.learner.Learner.LearningRateFixedConfig) tuner_)
.mergeFrom(value).buildPartial();
} else {
tuner_ = value;
}
onChanged();
} else {
if (tunerCase_ == 1) {
fixedBuilder_.mergeFrom(value);
}
fixedBuilder_.setMessage(value);
}
tunerCase_ = 1;
return this;
}
/**
* .tensorflow.boosted_trees.learner.LearningRateFixedConfig fixed = 1;
*/
public Builder clearFixed() {
if (fixedBuilder_ == null) {
if (tunerCase_ == 1) {
tunerCase_ = 0;
tuner_ = null;
onChanged();
}
} else {
if (tunerCase_ == 1) {
tunerCase_ = 0;
tuner_ = null;
}
fixedBuilder_.clear();
}
return this;
}
/**
* .tensorflow.boosted_trees.learner.LearningRateFixedConfig fixed = 1;
*/
public tensorflow.boosted_trees.learner.Learner.LearningRateFixedConfig.Builder getFixedBuilder() {
return getFixedFieldBuilder().getBuilder();
}
/**
* .tensorflow.boosted_trees.learner.LearningRateFixedConfig fixed = 1;
*/
public tensorflow.boosted_trees.learner.Learner.LearningRateFixedConfigOrBuilder getFixedOrBuilder() {
if ((tunerCase_ == 1) && (fixedBuilder_ != null)) {
return fixedBuilder_.getMessageOrBuilder();
} else {
if (tunerCase_ == 1) {
return (tensorflow.boosted_trees.learner.Learner.LearningRateFixedConfig) tuner_;
}
return tensorflow.boosted_trees.learner.Learner.LearningRateFixedConfig.getDefaultInstance();
}
}
/**
* .tensorflow.boosted_trees.learner.LearningRateFixedConfig fixed = 1;
*/
private com.google.protobuf.SingleFieldBuilderV3<
tensorflow.boosted_trees.learner.Learner.LearningRateFixedConfig, tensorflow.boosted_trees.learner.Learner.LearningRateFixedConfig.Builder, tensorflow.boosted_trees.learner.Learner.LearningRateFixedConfigOrBuilder>
getFixedFieldBuilder() {
if (fixedBuilder_ == null) {
if (!(tunerCase_ == 1)) {
tuner_ = tensorflow.boosted_trees.learner.Learner.LearningRateFixedConfig.getDefaultInstance();
}
fixedBuilder_ = new com.google.protobuf.SingleFieldBuilderV3<
tensorflow.boosted_trees.learner.Learner.LearningRateFixedConfig, tensorflow.boosted_trees.learner.Learner.LearningRateFixedConfig.Builder, tensorflow.boosted_trees.learner.Learner.LearningRateFixedConfigOrBuilder>(
(tensorflow.boosted_trees.learner.Learner.LearningRateFixedConfig) tuner_,
getParentForChildren(),
isClean());
tuner_ = null;
}
tunerCase_ = 1;
onChanged();;
return fixedBuilder_;
}
private com.google.protobuf.SingleFieldBuilderV3<
tensorflow.boosted_trees.learner.Learner.LearningRateDropoutDrivenConfig, tensorflow.boosted_trees.learner.Learner.LearningRateDropoutDrivenConfig.Builder, tensorflow.boosted_trees.learner.Learner.LearningRateDropoutDrivenConfigOrBuilder> dropoutBuilder_;
/**
* .tensorflow.boosted_trees.learner.LearningRateDropoutDrivenConfig dropout = 2;
*/
public boolean hasDropout() {
return tunerCase_ == 2;
}
/**
* .tensorflow.boosted_trees.learner.LearningRateDropoutDrivenConfig dropout = 2;
*/
public tensorflow.boosted_trees.learner.Learner.LearningRateDropoutDrivenConfig getDropout() {
if (dropoutBuilder_ == null) {
if (tunerCase_ == 2) {
return (tensorflow.boosted_trees.learner.Learner.LearningRateDropoutDrivenConfig) tuner_;
}
return tensorflow.boosted_trees.learner.Learner.LearningRateDropoutDrivenConfig.getDefaultInstance();
} else {
if (tunerCase_ == 2) {
return dropoutBuilder_.getMessage();
}
return tensorflow.boosted_trees.learner.Learner.LearningRateDropoutDrivenConfig.getDefaultInstance();
}
}
/**
* .tensorflow.boosted_trees.learner.LearningRateDropoutDrivenConfig dropout = 2;
*/
public Builder setDropout(tensorflow.boosted_trees.learner.Learner.LearningRateDropoutDrivenConfig value) {
if (dropoutBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
tuner_ = value;
onChanged();
} else {
dropoutBuilder_.setMessage(value);
}
tunerCase_ = 2;
return this;
}
/**
* .tensorflow.boosted_trees.learner.LearningRateDropoutDrivenConfig dropout = 2;
*/
public Builder setDropout(
tensorflow.boosted_trees.learner.Learner.LearningRateDropoutDrivenConfig.Builder builderForValue) {
if (dropoutBuilder_ == null) {
tuner_ = builderForValue.build();
onChanged();
} else {
dropoutBuilder_.setMessage(builderForValue.build());
}
tunerCase_ = 2;
return this;
}
/**
* .tensorflow.boosted_trees.learner.LearningRateDropoutDrivenConfig dropout = 2;
*/
public Builder mergeDropout(tensorflow.boosted_trees.learner.Learner.LearningRateDropoutDrivenConfig value) {
if (dropoutBuilder_ == null) {
if (tunerCase_ == 2 &&
tuner_ != tensorflow.boosted_trees.learner.Learner.LearningRateDropoutDrivenConfig.getDefaultInstance()) {
tuner_ = tensorflow.boosted_trees.learner.Learner.LearningRateDropoutDrivenConfig.newBuilder((tensorflow.boosted_trees.learner.Learner.LearningRateDropoutDrivenConfig) tuner_)
.mergeFrom(value).buildPartial();
} else {
tuner_ = value;
}
onChanged();
} else {
if (tunerCase_ == 2) {
dropoutBuilder_.mergeFrom(value);
}
dropoutBuilder_.setMessage(value);
}
tunerCase_ = 2;
return this;
}
/**
* .tensorflow.boosted_trees.learner.LearningRateDropoutDrivenConfig dropout = 2;
*/
public Builder clearDropout() {
if (dropoutBuilder_ == null) {
if (tunerCase_ == 2) {
tunerCase_ = 0;
tuner_ = null;
onChanged();
}
} else {
if (tunerCase_ == 2) {
tunerCase_ = 0;
tuner_ = null;
}
dropoutBuilder_.clear();
}
return this;
}
/**
* .tensorflow.boosted_trees.learner.LearningRateDropoutDrivenConfig dropout = 2;
*/
public tensorflow.boosted_trees.learner.Learner.LearningRateDropoutDrivenConfig.Builder getDropoutBuilder() {
return getDropoutFieldBuilder().getBuilder();
}
/**
* .tensorflow.boosted_trees.learner.LearningRateDropoutDrivenConfig dropout = 2;
*/
public tensorflow.boosted_trees.learner.Learner.LearningRateDropoutDrivenConfigOrBuilder getDropoutOrBuilder() {
if ((tunerCase_ == 2) && (dropoutBuilder_ != null)) {
return dropoutBuilder_.getMessageOrBuilder();
} else {
if (tunerCase_ == 2) {
return (tensorflow.boosted_trees.learner.Learner.LearningRateDropoutDrivenConfig) tuner_;
}
return tensorflow.boosted_trees.learner.Learner.LearningRateDropoutDrivenConfig.getDefaultInstance();
}
}
/**
* .tensorflow.boosted_trees.learner.LearningRateDropoutDrivenConfig dropout = 2;
*/
private com.google.protobuf.SingleFieldBuilderV3<
tensorflow.boosted_trees.learner.Learner.LearningRateDropoutDrivenConfig, tensorflow.boosted_trees.learner.Learner.LearningRateDropoutDrivenConfig.Builder, tensorflow.boosted_trees.learner.Learner.LearningRateDropoutDrivenConfigOrBuilder>
getDropoutFieldBuilder() {
if (dropoutBuilder_ == null) {
if (!(tunerCase_ == 2)) {
tuner_ = tensorflow.boosted_trees.learner.Learner.LearningRateDropoutDrivenConfig.getDefaultInstance();
}
dropoutBuilder_ = new com.google.protobuf.SingleFieldBuilderV3<
tensorflow.boosted_trees.learner.Learner.LearningRateDropoutDrivenConfig, tensorflow.boosted_trees.learner.Learner.LearningRateDropoutDrivenConfig.Builder, tensorflow.boosted_trees.learner.Learner.LearningRateDropoutDrivenConfigOrBuilder>(
(tensorflow.boosted_trees.learner.Learner.LearningRateDropoutDrivenConfig) tuner_,
getParentForChildren(),
isClean());
tuner_ = null;
}
tunerCase_ = 2;
onChanged();;
return dropoutBuilder_;
}
private com.google.protobuf.SingleFieldBuilderV3<
tensorflow.boosted_trees.learner.Learner.LearningRateLineSearchConfig, tensorflow.boosted_trees.learner.Learner.LearningRateLineSearchConfig.Builder, tensorflow.boosted_trees.learner.Learner.LearningRateLineSearchConfigOrBuilder> lineSearchBuilder_;
/**
* .tensorflow.boosted_trees.learner.LearningRateLineSearchConfig line_search = 3;
*/
public boolean hasLineSearch() {
return tunerCase_ == 3;
}
/**
* .tensorflow.boosted_trees.learner.LearningRateLineSearchConfig line_search = 3;
*/
public tensorflow.boosted_trees.learner.Learner.LearningRateLineSearchConfig getLineSearch() {
if (lineSearchBuilder_ == null) {
if (tunerCase_ == 3) {
return (tensorflow.boosted_trees.learner.Learner.LearningRateLineSearchConfig) tuner_;
}
return tensorflow.boosted_trees.learner.Learner.LearningRateLineSearchConfig.getDefaultInstance();
} else {
if (tunerCase_ == 3) {
return lineSearchBuilder_.getMessage();
}
return tensorflow.boosted_trees.learner.Learner.LearningRateLineSearchConfig.getDefaultInstance();
}
}
/**
* .tensorflow.boosted_trees.learner.LearningRateLineSearchConfig line_search = 3;
*/
public Builder setLineSearch(tensorflow.boosted_trees.learner.Learner.LearningRateLineSearchConfig value) {
if (lineSearchBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
tuner_ = value;
onChanged();
} else {
lineSearchBuilder_.setMessage(value);
}
tunerCase_ = 3;
return this;
}
/**
* .tensorflow.boosted_trees.learner.LearningRateLineSearchConfig line_search = 3;
*/
public Builder setLineSearch(
tensorflow.boosted_trees.learner.Learner.LearningRateLineSearchConfig.Builder builderForValue) {
if (lineSearchBuilder_ == null) {
tuner_ = builderForValue.build();
onChanged();
} else {
lineSearchBuilder_.setMessage(builderForValue.build());
}
tunerCase_ = 3;
return this;
}
/**
* .tensorflow.boosted_trees.learner.LearningRateLineSearchConfig line_search = 3;
*/
public Builder mergeLineSearch(tensorflow.boosted_trees.learner.Learner.LearningRateLineSearchConfig value) {
if (lineSearchBuilder_ == null) {
if (tunerCase_ == 3 &&
tuner_ != tensorflow.boosted_trees.learner.Learner.LearningRateLineSearchConfig.getDefaultInstance()) {
tuner_ = tensorflow.boosted_trees.learner.Learner.LearningRateLineSearchConfig.newBuilder((tensorflow.boosted_trees.learner.Learner.LearningRateLineSearchConfig) tuner_)
.mergeFrom(value).buildPartial();
} else {
tuner_ = value;
}
onChanged();
} else {
if (tunerCase_ == 3) {
lineSearchBuilder_.mergeFrom(value);
}
lineSearchBuilder_.setMessage(value);
}
tunerCase_ = 3;
return this;
}
/**
* .tensorflow.boosted_trees.learner.LearningRateLineSearchConfig line_search = 3;
*/
public Builder clearLineSearch() {
if (lineSearchBuilder_ == null) {
if (tunerCase_ == 3) {
tunerCase_ = 0;
tuner_ = null;
onChanged();
}
} else {
if (tunerCase_ == 3) {
tunerCase_ = 0;
tuner_ = null;
}
lineSearchBuilder_.clear();
}
return this;
}
/**
* .tensorflow.boosted_trees.learner.LearningRateLineSearchConfig line_search = 3;
*/
public tensorflow.boosted_trees.learner.Learner.LearningRateLineSearchConfig.Builder getLineSearchBuilder() {
return getLineSearchFieldBuilder().getBuilder();
}
/**
* .tensorflow.boosted_trees.learner.LearningRateLineSearchConfig line_search = 3;
*/
public tensorflow.boosted_trees.learner.Learner.LearningRateLineSearchConfigOrBuilder getLineSearchOrBuilder() {
if ((tunerCase_ == 3) && (lineSearchBuilder_ != null)) {
return lineSearchBuilder_.getMessageOrBuilder();
} else {
if (tunerCase_ == 3) {
return (tensorflow.boosted_trees.learner.Learner.LearningRateLineSearchConfig) tuner_;
}
return tensorflow.boosted_trees.learner.Learner.LearningRateLineSearchConfig.getDefaultInstance();
}
}
/**
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/**
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*/
float getLearningRate();
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LearningRateFixedConfigOrBuilder {
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/**
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tensorflow.boosted_trees.learner.Learner.LearningRateFixedConfigOrBuilder {
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/**
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onChanged();
return this;
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/**
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*
*
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float getProbabilityOfSkippingDropout();
/**
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*
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float getLearningRate();
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// @@protoc_insertion_point(builder_implements:tensorflow.boosted_trees.learner.LearningRateDropoutDrivenConfig)
tensorflow.boosted_trees.learner.Learner.LearningRateDropoutDrivenConfigOrBuilder {
public static final com.google.protobuf.Descriptors.Descriptor
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dropoutProbability_ = 0F;
probabilityOfSkippingDropout_ = 0F;
learningRate_ = 0F;
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private float dropoutProbability_ ;
/**
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*
* float dropout_probability = 1;
*/
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}
/**
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onChanged();
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/**
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onChanged();
return this;
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private float probabilityOfSkippingDropout_ ;
/**
*
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* For example, if running for 200 steps with probability of dropout 1/100,
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*
*
* float probability_of_skipping_dropout = 2;
*/
public float getProbabilityOfSkippingDropout() {
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/**
*
* When trees are built after dropout happen, they don't "advance" to the
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* For example, if running for 200 steps with probability of dropout 1/100,
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* float probability_of_skipping_dropout = 2;
*/
public Builder setProbabilityOfSkippingDropout(float value) {
probabilityOfSkippingDropout_ = value;
onChanged();
return this;
}
/**
*
* When trees are built after dropout happen, they don't "advance" to the
* optimal solution, they just rearrange the path. However you can still
* choose to skip dropout periodically, to allow a new tree that "advances"
* to be added.
* For example, if running for 200 steps with probability of dropout 1/100,
* you would expect the dropout to start happening for sure for all iterations
* after 100. However you can add probability_of_skipping_dropout of 0.1, this
* way iterations 100-200 will include approx 90 iterations of dropout and 10
* iterations of normal steps.Set it to 0 if you want just keep building
* the refinement trees after dropout kicks in.
*
*
* float probability_of_skipping_dropout = 2;
*/
public Builder clearProbabilityOfSkippingDropout() {
probabilityOfSkippingDropout_ = 0F;
onChanged();
return this;
}
private float learningRate_ ;
/**
*
* Between 0 and 1.
*
*
* float learning_rate = 3;
*/
public float getLearningRate() {
return learningRate_;
}
/**
*
* Between 0 and 1.
*
*
* float learning_rate = 3;
*/
public Builder setLearningRate(float value) {
learningRate_ = value;
onChanged();
return this;
}
/**
*
* Between 0 and 1.
*
*
* float learning_rate = 3;
*/
public Builder clearLearningRate() {
learningRate_ = 0F;
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.boosted_trees.learner.LearningRateDropoutDrivenConfig)
}
// @@protoc_insertion_point(class_scope:tensorflow.boosted_trees.learner.LearningRateDropoutDrivenConfig)
private static final tensorflow.boosted_trees.learner.Learner.LearningRateDropoutDrivenConfig DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new tensorflow.boosted_trees.learner.Learner.LearningRateDropoutDrivenConfig();
}
public static tensorflow.boosted_trees.learner.Learner.LearningRateDropoutDrivenConfig getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser
PARSER = new com.google.protobuf.AbstractParser() {
@java.lang.Override
public LearningRateDropoutDrivenConfig parsePartialFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return new LearningRateDropoutDrivenConfig(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.boosted_trees.learner.Learner.LearningRateDropoutDrivenConfig getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
public interface LearnerConfigOrBuilder extends
// @@protoc_insertion_point(interface_extends:tensorflow.boosted_trees.learner.LearnerConfig)
com.google.protobuf.MessageOrBuilder {
/**
*
* Number of classes.
*
*
* uint32 num_classes = 1;
*/
int getNumClasses();
/**
* float feature_fraction_per_tree = 2;
*/
float getFeatureFractionPerTree();
/**
* float feature_fraction_per_level = 3;
*/
float getFeatureFractionPerLevel();
/**
*
* Regularization.
*
*
* .tensorflow.boosted_trees.learner.TreeRegularizationConfig regularization = 4;
*/
boolean hasRegularization();
/**
*
* Regularization.
*
*
* .tensorflow.boosted_trees.learner.TreeRegularizationConfig regularization = 4;
*/
tensorflow.boosted_trees.learner.Learner.TreeRegularizationConfig getRegularization();
/**
*
* Regularization.
*
*
* .tensorflow.boosted_trees.learner.TreeRegularizationConfig regularization = 4;
*/
tensorflow.boosted_trees.learner.Learner.TreeRegularizationConfigOrBuilder getRegularizationOrBuilder();
/**
*
* Constraints.
*
*
* .tensorflow.boosted_trees.learner.TreeConstraintsConfig constraints = 5;
*/
boolean hasConstraints();
/**
*
* Constraints.
*
*
* .tensorflow.boosted_trees.learner.TreeConstraintsConfig constraints = 5;
*/
tensorflow.boosted_trees.learner.Learner.TreeConstraintsConfig getConstraints();
/**
*
* Constraints.
*
*
* .tensorflow.boosted_trees.learner.TreeConstraintsConfig constraints = 5;
*/
tensorflow.boosted_trees.learner.Learner.TreeConstraintsConfigOrBuilder getConstraintsOrBuilder();
/**
*
* Pruning. POST_PRUNE is the default pruning mode.
*
*
* .tensorflow.boosted_trees.learner.LearnerConfig.PruningMode pruning_mode = 8;
*/
int getPruningModeValue();
/**
*
* Pruning. POST_PRUNE is the default pruning mode.
*
*
* .tensorflow.boosted_trees.learner.LearnerConfig.PruningMode pruning_mode = 8;
*/
tensorflow.boosted_trees.learner.Learner.LearnerConfig.PruningMode getPruningMode();
/**
*
* Growing Mode. LAYER_BY_LAYER is the default growing mode.
*
*
* .tensorflow.boosted_trees.learner.LearnerConfig.GrowingMode growing_mode = 9;
*/
int getGrowingModeValue();
/**
*
* Growing Mode. LAYER_BY_LAYER is the default growing mode.
*
*
* .tensorflow.boosted_trees.learner.LearnerConfig.GrowingMode growing_mode = 9;
*/
tensorflow.boosted_trees.learner.Learner.LearnerConfig.GrowingMode getGrowingMode();
/**
*
* Learning rate. By default we use fixed learning rate of 0.1.
*
*
* .tensorflow.boosted_trees.learner.LearningRateConfig learning_rate_tuner = 6;
*/
boolean hasLearningRateTuner();
/**
*
* Learning rate. By default we use fixed learning rate of 0.1.
*
*
* .tensorflow.boosted_trees.learner.LearningRateConfig learning_rate_tuner = 6;
*/
tensorflow.boosted_trees.learner.Learner.LearningRateConfig getLearningRateTuner();
/**
*
* Learning rate. By default we use fixed learning rate of 0.1.
*
*
* .tensorflow.boosted_trees.learner.LearningRateConfig learning_rate_tuner = 6;
*/
tensorflow.boosted_trees.learner.Learner.LearningRateConfigOrBuilder getLearningRateTunerOrBuilder();
/**
*
* Multi-class strategy. By default we use TREE_PER_CLASS for binary
* classification and linear regression. For other cases, we use
* DIAGONAL_HESSIAN as the default.
*
*
* .tensorflow.boosted_trees.learner.LearnerConfig.MultiClassStrategy multi_class_strategy = 10;
*/
int getMultiClassStrategyValue();
/**
*
* Multi-class strategy. By default we use TREE_PER_CLASS for binary
* classification and linear regression. For other cases, we use
* DIAGONAL_HESSIAN as the default.
*
*
* .tensorflow.boosted_trees.learner.LearnerConfig.MultiClassStrategy multi_class_strategy = 10;
*/
tensorflow.boosted_trees.learner.Learner.LearnerConfig.MultiClassStrategy getMultiClassStrategy();
/**
*
* If you want to average the ensembles (for regularization), provide the
* config below.
*
*
* .tensorflow.boosted_trees.learner.AveragingConfig averaging_config = 11;
*/
boolean hasAveragingConfig();
/**
*
* If you want to average the ensembles (for regularization), provide the
* config below.
*
*
* .tensorflow.boosted_trees.learner.AveragingConfig averaging_config = 11;
*/
tensorflow.boosted_trees.learner.Learner.AveragingConfig getAveragingConfig();
/**
*
* If you want to average the ensembles (for regularization), provide the
* config below.
*
*
* .tensorflow.boosted_trees.learner.AveragingConfig averaging_config = 11;
*/
tensorflow.boosted_trees.learner.Learner.AveragingConfigOrBuilder getAveragingConfigOrBuilder();
/**
*
* By default we use NORMAL_DECISION_TREE as weak learner.
*
*
* .tensorflow.boosted_trees.learner.LearnerConfig.WeakLearnerType weak_learner_type = 12;
*/
int getWeakLearnerTypeValue();
/**
*
* By default we use NORMAL_DECISION_TREE as weak learner.
*
*
* .tensorflow.boosted_trees.learner.LearnerConfig.WeakLearnerType weak_learner_type = 12;
*/
tensorflow.boosted_trees.learner.Learner.LearnerConfig.WeakLearnerType getWeakLearnerType();
public tensorflow.boosted_trees.learner.Learner.LearnerConfig.FeatureFractionCase getFeatureFractionCase();
}
/**
* Protobuf type {@code tensorflow.boosted_trees.learner.LearnerConfig}
*/
public static final class LearnerConfig extends
com.google.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:tensorflow.boosted_trees.learner.LearnerConfig)
LearnerConfigOrBuilder {
private static final long serialVersionUID = 0L;
// Use LearnerConfig.newBuilder() to construct.
private LearnerConfig(com.google.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private LearnerConfig() {
numClasses_ = 0;
pruningMode_ = 0;
growingMode_ = 0;
multiClassStrategy_ = 0;
weakLearnerType_ = 0;
}
@java.lang.Override
public final com.google.protobuf.UnknownFieldSet
getUnknownFields() {
return this.unknownFields;
}
private LearnerConfig(
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 8: {
numClasses_ = input.readUInt32();
break;
}
case 21: {
featureFractionCase_ = 2;
featureFraction_ = input.readFloat();
break;
}
case 29: {
featureFractionCase_ = 3;
featureFraction_ = input.readFloat();
break;
}
case 34: {
tensorflow.boosted_trees.learner.Learner.TreeRegularizationConfig.Builder subBuilder = null;
if (regularization_ != null) {
subBuilder = regularization_.toBuilder();
}
regularization_ = input.readMessage(tensorflow.boosted_trees.learner.Learner.TreeRegularizationConfig.parser(), extensionRegistry);
if (subBuilder != null) {
subBuilder.mergeFrom(regularization_);
regularization_ = subBuilder.buildPartial();
}
break;
}
case 42: {
tensorflow.boosted_trees.learner.Learner.TreeConstraintsConfig.Builder subBuilder = null;
if (constraints_ != null) {
subBuilder = constraints_.toBuilder();
}
constraints_ = input.readMessage(tensorflow.boosted_trees.learner.Learner.TreeConstraintsConfig.parser(), extensionRegistry);
if (subBuilder != null) {
subBuilder.mergeFrom(constraints_);
constraints_ = subBuilder.buildPartial();
}
break;
}
case 50: {
tensorflow.boosted_trees.learner.Learner.LearningRateConfig.Builder subBuilder = null;
if (learningRateTuner_ != null) {
subBuilder = learningRateTuner_.toBuilder();
}
learningRateTuner_ = input.readMessage(tensorflow.boosted_trees.learner.Learner.LearningRateConfig.parser(), extensionRegistry);
if (subBuilder != null) {
subBuilder.mergeFrom(learningRateTuner_);
learningRateTuner_ = subBuilder.buildPartial();
}
break;
}
case 64: {
int rawValue = input.readEnum();
pruningMode_ = rawValue;
break;
}
case 72: {
int rawValue = input.readEnum();
growingMode_ = rawValue;
break;
}
case 80: {
int rawValue = input.readEnum();
multiClassStrategy_ = rawValue;
break;
}
case 90: {
tensorflow.boosted_trees.learner.Learner.AveragingConfig.Builder subBuilder = null;
if (averagingConfig_ != null) {
subBuilder = averagingConfig_.toBuilder();
}
averagingConfig_ = input.readMessage(tensorflow.boosted_trees.learner.Learner.AveragingConfig.parser(), extensionRegistry);
if (subBuilder != null) {
subBuilder.mergeFrom(averagingConfig_);
averagingConfig_ = subBuilder.buildPartial();
}
break;
}
case 96: {
int rawValue = input.readEnum();
weakLearnerType_ = rawValue;
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.boosted_trees.learner.Learner.internal_static_tensorflow_boosted_trees_learner_LearnerConfig_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return tensorflow.boosted_trees.learner.Learner.internal_static_tensorflow_boosted_trees_learner_LearnerConfig_fieldAccessorTable
.ensureFieldAccessorsInitialized(
tensorflow.boosted_trees.learner.Learner.LearnerConfig.class, tensorflow.boosted_trees.learner.Learner.LearnerConfig.Builder.class);
}
/**
* Protobuf enum {@code tensorflow.boosted_trees.learner.LearnerConfig.PruningMode}
*/
public enum PruningMode
implements com.google.protobuf.ProtocolMessageEnum {
/**
* PRUNING_MODE_UNSPECIFIED = 0;
*/
PRUNING_MODE_UNSPECIFIED(0),
/**
* PRE_PRUNE = 1;
*/
PRE_PRUNE(1),
/**
* POST_PRUNE = 2;
*/
POST_PRUNE(2),
UNRECOGNIZED(-1),
;
/**
* PRUNING_MODE_UNSPECIFIED = 0;
*/
public static final int PRUNING_MODE_UNSPECIFIED_VALUE = 0;
/**
* PRE_PRUNE = 1;
*/
public static final int PRE_PRUNE_VALUE = 1;
/**
* POST_PRUNE = 2;
*/
public static final int POST_PRUNE_VALUE = 2;
public final int getNumber() {
if (this == UNRECOGNIZED) {
throw new java.lang.IllegalArgumentException(
"Can't get the number of an unknown enum value.");
}
return value;
}
/**
* @deprecated Use {@link #forNumber(int)} instead.
*/
@java.lang.Deprecated
public static PruningMode valueOf(int value) {
return forNumber(value);
}
public static PruningMode forNumber(int value) {
switch (value) {
case 0: return PRUNING_MODE_UNSPECIFIED;
case 1: return PRE_PRUNE;
case 2: return POST_PRUNE;
default: return null;
}
}
public static com.google.protobuf.Internal.EnumLiteMap
internalGetValueMap() {
return internalValueMap;
}
private static final com.google.protobuf.Internal.EnumLiteMap<
PruningMode> internalValueMap =
new com.google.protobuf.Internal.EnumLiteMap() {
public PruningMode findValueByNumber(int number) {
return PruningMode.forNumber(number);
}
};
public final com.google.protobuf.Descriptors.EnumValueDescriptor
getValueDescriptor() {
return getDescriptor().getValues().get(ordinal());
}
public final com.google.protobuf.Descriptors.EnumDescriptor
getDescriptorForType() {
return getDescriptor();
}
public static final com.google.protobuf.Descriptors.EnumDescriptor
getDescriptor() {
return tensorflow.boosted_trees.learner.Learner.LearnerConfig.getDescriptor().getEnumTypes().get(0);
}
private static final PruningMode[] VALUES = values();
public static PruningMode valueOf(
com.google.protobuf.Descriptors.EnumValueDescriptor desc) {
if (desc.getType() != getDescriptor()) {
throw new java.lang.IllegalArgumentException(
"EnumValueDescriptor is not for this type.");
}
if (desc.getIndex() == -1) {
return UNRECOGNIZED;
}
return VALUES[desc.getIndex()];
}
private final int value;
private PruningMode(int value) {
this.value = value;
}
// @@protoc_insertion_point(enum_scope:tensorflow.boosted_trees.learner.LearnerConfig.PruningMode)
}
/**
* Protobuf enum {@code tensorflow.boosted_trees.learner.LearnerConfig.GrowingMode}
*/
public enum GrowingMode
implements com.google.protobuf.ProtocolMessageEnum {
/**
* GROWING_MODE_UNSPECIFIED = 0;
*/
GROWING_MODE_UNSPECIFIED(0),
/**
* WHOLE_TREE = 1;
*/
WHOLE_TREE(1),
/**
* LAYER_BY_LAYER = 2;
*/
LAYER_BY_LAYER(2),
UNRECOGNIZED(-1),
;
/**
* GROWING_MODE_UNSPECIFIED = 0;
*/
public static final int GROWING_MODE_UNSPECIFIED_VALUE = 0;
/**
* WHOLE_TREE = 1;
*/
public static final int WHOLE_TREE_VALUE = 1;
/**
* LAYER_BY_LAYER = 2;
*/
public static final int LAYER_BY_LAYER_VALUE = 2;
public final int getNumber() {
if (this == UNRECOGNIZED) {
throw new java.lang.IllegalArgumentException(
"Can't get the number of an unknown enum value.");
}
return value;
}
/**
* @deprecated Use {@link #forNumber(int)} instead.
*/
@java.lang.Deprecated
public static GrowingMode valueOf(int value) {
return forNumber(value);
}
public static GrowingMode forNumber(int value) {
switch (value) {
case 0: return GROWING_MODE_UNSPECIFIED;
case 1: return WHOLE_TREE;
case 2: return LAYER_BY_LAYER;
default: return null;
}
}
public static com.google.protobuf.Internal.EnumLiteMap
internalGetValueMap() {
return internalValueMap;
}
private static final com.google.protobuf.Internal.EnumLiteMap<
GrowingMode> internalValueMap =
new com.google.protobuf.Internal.EnumLiteMap() {
public GrowingMode findValueByNumber(int number) {
return GrowingMode.forNumber(number);
}
};
public final com.google.protobuf.Descriptors.EnumValueDescriptor
getValueDescriptor() {
return getDescriptor().getValues().get(ordinal());
}
public final com.google.protobuf.Descriptors.EnumDescriptor
getDescriptorForType() {
return getDescriptor();
}
public static final com.google.protobuf.Descriptors.EnumDescriptor
getDescriptor() {
return tensorflow.boosted_trees.learner.Learner.LearnerConfig.getDescriptor().getEnumTypes().get(1);
}
private static final GrowingMode[] VALUES = values();
public static GrowingMode valueOf(
com.google.protobuf.Descriptors.EnumValueDescriptor desc) {
if (desc.getType() != getDescriptor()) {
throw new java.lang.IllegalArgumentException(
"EnumValueDescriptor is not for this type.");
}
if (desc.getIndex() == -1) {
return UNRECOGNIZED;
}
return VALUES[desc.getIndex()];
}
private final int value;
private GrowingMode(int value) {
this.value = value;
}
// @@protoc_insertion_point(enum_scope:tensorflow.boosted_trees.learner.LearnerConfig.GrowingMode)
}
/**
* Protobuf enum {@code tensorflow.boosted_trees.learner.LearnerConfig.MultiClassStrategy}
*/
public enum MultiClassStrategy
implements com.google.protobuf.ProtocolMessageEnum {
/**
* MULTI_CLASS_STRATEGY_UNSPECIFIED = 0;
*/
MULTI_CLASS_STRATEGY_UNSPECIFIED(0),
/**
* TREE_PER_CLASS = 1;
*/
TREE_PER_CLASS(1),
/**
* FULL_HESSIAN = 2;
*/
FULL_HESSIAN(2),
/**
* DIAGONAL_HESSIAN = 3;
*/
DIAGONAL_HESSIAN(3),
UNRECOGNIZED(-1),
;
/**
* MULTI_CLASS_STRATEGY_UNSPECIFIED = 0;
*/
public static final int MULTI_CLASS_STRATEGY_UNSPECIFIED_VALUE = 0;
/**
* TREE_PER_CLASS = 1;
*/
public static final int TREE_PER_CLASS_VALUE = 1;
/**
* FULL_HESSIAN = 2;
*/
public static final int FULL_HESSIAN_VALUE = 2;
/**
* DIAGONAL_HESSIAN = 3;
*/
public static final int DIAGONAL_HESSIAN_VALUE = 3;
public final int getNumber() {
if (this == UNRECOGNIZED) {
throw new java.lang.IllegalArgumentException(
"Can't get the number of an unknown enum value.");
}
return value;
}
/**
* @deprecated Use {@link #forNumber(int)} instead.
*/
@java.lang.Deprecated
public static MultiClassStrategy valueOf(int value) {
return forNumber(value);
}
public static MultiClassStrategy forNumber(int value) {
switch (value) {
case 0: return MULTI_CLASS_STRATEGY_UNSPECIFIED;
case 1: return TREE_PER_CLASS;
case 2: return FULL_HESSIAN;
case 3: return DIAGONAL_HESSIAN;
default: return null;
}
}
public static com.google.protobuf.Internal.EnumLiteMap
internalGetValueMap() {
return internalValueMap;
}
private static final com.google.protobuf.Internal.EnumLiteMap<
MultiClassStrategy> internalValueMap =
new com.google.protobuf.Internal.EnumLiteMap() {
public MultiClassStrategy findValueByNumber(int number) {
return MultiClassStrategy.forNumber(number);
}
};
public final com.google.protobuf.Descriptors.EnumValueDescriptor
getValueDescriptor() {
return getDescriptor().getValues().get(ordinal());
}
public final com.google.protobuf.Descriptors.EnumDescriptor
getDescriptorForType() {
return getDescriptor();
}
public static final com.google.protobuf.Descriptors.EnumDescriptor
getDescriptor() {
return tensorflow.boosted_trees.learner.Learner.LearnerConfig.getDescriptor().getEnumTypes().get(2);
}
private static final MultiClassStrategy[] VALUES = values();
public static MultiClassStrategy valueOf(
com.google.protobuf.Descriptors.EnumValueDescriptor desc) {
if (desc.getType() != getDescriptor()) {
throw new java.lang.IllegalArgumentException(
"EnumValueDescriptor is not for this type.");
}
if (desc.getIndex() == -1) {
return UNRECOGNIZED;
}
return VALUES[desc.getIndex()];
}
private final int value;
private MultiClassStrategy(int value) {
this.value = value;
}
// @@protoc_insertion_point(enum_scope:tensorflow.boosted_trees.learner.LearnerConfig.MultiClassStrategy)
}
/**
* Protobuf enum {@code tensorflow.boosted_trees.learner.LearnerConfig.WeakLearnerType}
*/
public enum WeakLearnerType
implements com.google.protobuf.ProtocolMessageEnum {
/**
* NORMAL_DECISION_TREE = 0;
*/
NORMAL_DECISION_TREE(0),
/**
* OBLIVIOUS_DECISION_TREE = 1;
*/
OBLIVIOUS_DECISION_TREE(1),
UNRECOGNIZED(-1),
;
/**
* NORMAL_DECISION_TREE = 0;
*/
public static final int NORMAL_DECISION_TREE_VALUE = 0;
/**
* OBLIVIOUS_DECISION_TREE = 1;
*/
public static final int OBLIVIOUS_DECISION_TREE_VALUE = 1;
public final int getNumber() {
if (this == UNRECOGNIZED) {
throw new java.lang.IllegalArgumentException(
"Can't get the number of an unknown enum value.");
}
return value;
}
/**
* @deprecated Use {@link #forNumber(int)} instead.
*/
@java.lang.Deprecated
public static WeakLearnerType valueOf(int value) {
return forNumber(value);
}
public static WeakLearnerType forNumber(int value) {
switch (value) {
case 0: return NORMAL_DECISION_TREE;
case 1: return OBLIVIOUS_DECISION_TREE;
default: return null;
}
}
public static com.google.protobuf.Internal.EnumLiteMap
internalGetValueMap() {
return internalValueMap;
}
private static final com.google.protobuf.Internal.EnumLiteMap<
WeakLearnerType> internalValueMap =
new com.google.protobuf.Internal.EnumLiteMap() {
public WeakLearnerType findValueByNumber(int number) {
return WeakLearnerType.forNumber(number);
}
};
public final com.google.protobuf.Descriptors.EnumValueDescriptor
getValueDescriptor() {
return getDescriptor().getValues().get(ordinal());
}
public final com.google.protobuf.Descriptors.EnumDescriptor
getDescriptorForType() {
return getDescriptor();
}
public static final com.google.protobuf.Descriptors.EnumDescriptor
getDescriptor() {
return tensorflow.boosted_trees.learner.Learner.LearnerConfig.getDescriptor().getEnumTypes().get(3);
}
private static final WeakLearnerType[] VALUES = values();
public static WeakLearnerType valueOf(
com.google.protobuf.Descriptors.EnumValueDescriptor desc) {
if (desc.getType() != getDescriptor()) {
throw new java.lang.IllegalArgumentException(
"EnumValueDescriptor is not for this type.");
}
if (desc.getIndex() == -1) {
return UNRECOGNIZED;
}
return VALUES[desc.getIndex()];
}
private final int value;
private WeakLearnerType(int value) {
this.value = value;
}
// @@protoc_insertion_point(enum_scope:tensorflow.boosted_trees.learner.LearnerConfig.WeakLearnerType)
}
private int featureFractionCase_ = 0;
private java.lang.Object featureFraction_;
public enum FeatureFractionCase
implements com.google.protobuf.Internal.EnumLite {
FEATURE_FRACTION_PER_TREE(2),
FEATURE_FRACTION_PER_LEVEL(3),
FEATUREFRACTION_NOT_SET(0);
private final int value;
private FeatureFractionCase(int value) {
this.value = value;
}
/**
* @deprecated Use {@link #forNumber(int)} instead.
*/
@java.lang.Deprecated
public static FeatureFractionCase valueOf(int value) {
return forNumber(value);
}
public static FeatureFractionCase forNumber(int value) {
switch (value) {
case 2: return FEATURE_FRACTION_PER_TREE;
case 3: return FEATURE_FRACTION_PER_LEVEL;
case 0: return FEATUREFRACTION_NOT_SET;
default: return null;
}
}
public int getNumber() {
return this.value;
}
};
public FeatureFractionCase
getFeatureFractionCase() {
return FeatureFractionCase.forNumber(
featureFractionCase_);
}
public static final int NUM_CLASSES_FIELD_NUMBER = 1;
private int numClasses_;
/**
*
* Number of classes.
*
*
* uint32 num_classes = 1;
*/
public int getNumClasses() {
return numClasses_;
}
public static final int FEATURE_FRACTION_PER_TREE_FIELD_NUMBER = 2;
/**
* float feature_fraction_per_tree = 2;
*/
public float getFeatureFractionPerTree() {
if (featureFractionCase_ == 2) {
return (java.lang.Float) featureFraction_;
}
return 0F;
}
public static final int FEATURE_FRACTION_PER_LEVEL_FIELD_NUMBER = 3;
/**
* float feature_fraction_per_level = 3;
*/
public float getFeatureFractionPerLevel() {
if (featureFractionCase_ == 3) {
return (java.lang.Float) featureFraction_;
}
return 0F;
}
public static final int REGULARIZATION_FIELD_NUMBER = 4;
private tensorflow.boosted_trees.learner.Learner.TreeRegularizationConfig regularization_;
/**
*
* Regularization.
*
*
* .tensorflow.boosted_trees.learner.TreeRegularizationConfig regularization = 4;
*/
public boolean hasRegularization() {
return regularization_ != null;
}
/**
*
* Regularization.
*
*
* .tensorflow.boosted_trees.learner.TreeRegularizationConfig regularization = 4;
*/
public tensorflow.boosted_trees.learner.Learner.TreeRegularizationConfig getRegularization() {
return regularization_ == null ? tensorflow.boosted_trees.learner.Learner.TreeRegularizationConfig.getDefaultInstance() : regularization_;
}
/**
*
* Regularization.
*
*
* .tensorflow.boosted_trees.learner.TreeRegularizationConfig regularization = 4;
*/
public tensorflow.boosted_trees.learner.Learner.TreeRegularizationConfigOrBuilder getRegularizationOrBuilder() {
return getRegularization();
}
public static final int CONSTRAINTS_FIELD_NUMBER = 5;
private tensorflow.boosted_trees.learner.Learner.TreeConstraintsConfig constraints_;
/**
*
* Constraints.
*
*
* .tensorflow.boosted_trees.learner.TreeConstraintsConfig constraints = 5;
*/
public boolean hasConstraints() {
return constraints_ != null;
}
/**
*
* Constraints.
*
*
* .tensorflow.boosted_trees.learner.TreeConstraintsConfig constraints = 5;
*/
public tensorflow.boosted_trees.learner.Learner.TreeConstraintsConfig getConstraints() {
return constraints_ == null ? tensorflow.boosted_trees.learner.Learner.TreeConstraintsConfig.getDefaultInstance() : constraints_;
}
/**
*
* Constraints.
*
*
* .tensorflow.boosted_trees.learner.TreeConstraintsConfig constraints = 5;
*/
public tensorflow.boosted_trees.learner.Learner.TreeConstraintsConfigOrBuilder getConstraintsOrBuilder() {
return getConstraints();
}
public static final int PRUNING_MODE_FIELD_NUMBER = 8;
private int pruningMode_;
/**
*
* Pruning. POST_PRUNE is the default pruning mode.
*
*
* .tensorflow.boosted_trees.learner.LearnerConfig.PruningMode pruning_mode = 8;
*/
public int getPruningModeValue() {
return pruningMode_;
}
/**
*
* Pruning. POST_PRUNE is the default pruning mode.
*
*
* .tensorflow.boosted_trees.learner.LearnerConfig.PruningMode pruning_mode = 8;
*/
public tensorflow.boosted_trees.learner.Learner.LearnerConfig.PruningMode getPruningMode() {
@SuppressWarnings("deprecation")
tensorflow.boosted_trees.learner.Learner.LearnerConfig.PruningMode result = tensorflow.boosted_trees.learner.Learner.LearnerConfig.PruningMode.valueOf(pruningMode_);
return result == null ? tensorflow.boosted_trees.learner.Learner.LearnerConfig.PruningMode.UNRECOGNIZED : result;
}
public static final int GROWING_MODE_FIELD_NUMBER = 9;
private int growingMode_;
/**
*
* Growing Mode. LAYER_BY_LAYER is the default growing mode.
*
*
* .tensorflow.boosted_trees.learner.LearnerConfig.GrowingMode growing_mode = 9;
*/
public int getGrowingModeValue() {
return growingMode_;
}
/**
*
* Growing Mode. LAYER_BY_LAYER is the default growing mode.
*
*
* .tensorflow.boosted_trees.learner.LearnerConfig.GrowingMode growing_mode = 9;
*/
public tensorflow.boosted_trees.learner.Learner.LearnerConfig.GrowingMode getGrowingMode() {
@SuppressWarnings("deprecation")
tensorflow.boosted_trees.learner.Learner.LearnerConfig.GrowingMode result = tensorflow.boosted_trees.learner.Learner.LearnerConfig.GrowingMode.valueOf(growingMode_);
return result == null ? tensorflow.boosted_trees.learner.Learner.LearnerConfig.GrowingMode.UNRECOGNIZED : result;
}
public static final int LEARNING_RATE_TUNER_FIELD_NUMBER = 6;
private tensorflow.boosted_trees.learner.Learner.LearningRateConfig learningRateTuner_;
/**
*
* Learning rate. By default we use fixed learning rate of 0.1.
*
*
* .tensorflow.boosted_trees.learner.LearningRateConfig learning_rate_tuner = 6;
*/
public boolean hasLearningRateTuner() {
return learningRateTuner_ != null;
}
/**
*
* Learning rate. By default we use fixed learning rate of 0.1.
*
*
* .tensorflow.boosted_trees.learner.LearningRateConfig learning_rate_tuner = 6;
*/
public tensorflow.boosted_trees.learner.Learner.LearningRateConfig getLearningRateTuner() {
return learningRateTuner_ == null ? tensorflow.boosted_trees.learner.Learner.LearningRateConfig.getDefaultInstance() : learningRateTuner_;
}
/**
*
* Learning rate. By default we use fixed learning rate of 0.1.
*
*
* .tensorflow.boosted_trees.learner.LearningRateConfig learning_rate_tuner = 6;
*/
public tensorflow.boosted_trees.learner.Learner.LearningRateConfigOrBuilder getLearningRateTunerOrBuilder() {
return getLearningRateTuner();
}
public static final int MULTI_CLASS_STRATEGY_FIELD_NUMBER = 10;
private int multiClassStrategy_;
/**
*
* Multi-class strategy. By default we use TREE_PER_CLASS for binary
* classification and linear regression. For other cases, we use
* DIAGONAL_HESSIAN as the default.
*
*
* .tensorflow.boosted_trees.learner.LearnerConfig.MultiClassStrategy multi_class_strategy = 10;
*/
public int getMultiClassStrategyValue() {
return multiClassStrategy_;
}
/**
*
* Multi-class strategy. By default we use TREE_PER_CLASS for binary
* classification and linear regression. For other cases, we use
* DIAGONAL_HESSIAN as the default.
*
*
* .tensorflow.boosted_trees.learner.LearnerConfig.MultiClassStrategy multi_class_strategy = 10;
*/
public tensorflow.boosted_trees.learner.Learner.LearnerConfig.MultiClassStrategy getMultiClassStrategy() {
@SuppressWarnings("deprecation")
tensorflow.boosted_trees.learner.Learner.LearnerConfig.MultiClassStrategy result = tensorflow.boosted_trees.learner.Learner.LearnerConfig.MultiClassStrategy.valueOf(multiClassStrategy_);
return result == null ? tensorflow.boosted_trees.learner.Learner.LearnerConfig.MultiClassStrategy.UNRECOGNIZED : result;
}
public static final int AVERAGING_CONFIG_FIELD_NUMBER = 11;
private tensorflow.boosted_trees.learner.Learner.AveragingConfig averagingConfig_;
/**
*
* If you want to average the ensembles (for regularization), provide the
* config below.
*
*
* .tensorflow.boosted_trees.learner.AveragingConfig averaging_config = 11;
*/
public boolean hasAveragingConfig() {
return averagingConfig_ != null;
}
/**
*
* If you want to average the ensembles (for regularization), provide the
* config below.
*
*
* .tensorflow.boosted_trees.learner.AveragingConfig averaging_config = 11;
*/
public tensorflow.boosted_trees.learner.Learner.AveragingConfig getAveragingConfig() {
return averagingConfig_ == null ? tensorflow.boosted_trees.learner.Learner.AveragingConfig.getDefaultInstance() : averagingConfig_;
}
/**
*
* If you want to average the ensembles (for regularization), provide the
* config below.
*
*
* .tensorflow.boosted_trees.learner.AveragingConfig averaging_config = 11;
*/
public tensorflow.boosted_trees.learner.Learner.AveragingConfigOrBuilder getAveragingConfigOrBuilder() {
return getAveragingConfig();
}
public static final int WEAK_LEARNER_TYPE_FIELD_NUMBER = 12;
private int weakLearnerType_;
/**
*
* By default we use NORMAL_DECISION_TREE as weak learner.
*
*
* .tensorflow.boosted_trees.learner.LearnerConfig.WeakLearnerType weak_learner_type = 12;
*/
public int getWeakLearnerTypeValue() {
return weakLearnerType_;
}
/**
*
* By default we use NORMAL_DECISION_TREE as weak learner.
*
*
* .tensorflow.boosted_trees.learner.LearnerConfig.WeakLearnerType weak_learner_type = 12;
*/
public tensorflow.boosted_trees.learner.Learner.LearnerConfig.WeakLearnerType getWeakLearnerType() {
@SuppressWarnings("deprecation")
tensorflow.boosted_trees.learner.Learner.LearnerConfig.WeakLearnerType result = tensorflow.boosted_trees.learner.Learner.LearnerConfig.WeakLearnerType.valueOf(weakLearnerType_);
return result == null ? tensorflow.boosted_trees.learner.Learner.LearnerConfig.WeakLearnerType.UNRECOGNIZED : result;
}
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memoizedIsInitialized = 1;
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if (numClasses_ != 0) {
output.writeUInt32(1, numClasses_);
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if (featureFractionCase_ == 2) {
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output.writeFloat(
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if (learningRateTuner_ != null) {
output.writeMessage(6, getLearningRateTuner());
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if (growingMode_ != tensorflow.boosted_trees.learner.Learner.LearnerConfig.GrowingMode.GROWING_MODE_UNSPECIFIED.getNumber()) {
output.writeEnum(9, growingMode_);
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output.writeMessage(11, getAveragingConfig());
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output.writeEnum(12, weakLearnerType_);
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unknownFields.writeTo(output);
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memoizedSize = size;
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@java.lang.Override
public boolean equals(final java.lang.Object obj) {
if (obj == this) {
return true;
}
if (!(obj instanceof tensorflow.boosted_trees.learner.Learner.LearnerConfig)) {
return super.equals(obj);
}
tensorflow.boosted_trees.learner.Learner.LearnerConfig other = (tensorflow.boosted_trees.learner.Learner.LearnerConfig) obj;
boolean result = true;
result = result && (getNumClasses()
== other.getNumClasses());
result = result && (hasRegularization() == other.hasRegularization());
if (hasRegularization()) {
result = result && getRegularization()
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result = result && (hasConstraints() == other.hasConstraints());
if (hasConstraints()) {
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result = result && pruningMode_ == other.pruningMode_;
result = result && growingMode_ == other.growingMode_;
result = result && (hasLearningRateTuner() == other.hasLearningRateTuner());
if (hasLearningRateTuner()) {
result = result && getLearningRateTuner()
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}
result = result && multiClassStrategy_ == other.multiClassStrategy_;
result = result && (hasAveragingConfig() == other.hasAveragingConfig());
if (hasAveragingConfig()) {
result = result && getAveragingConfig()
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}
result = result && weakLearnerType_ == other.weakLearnerType_;
result = result && getFeatureFractionCase().equals(
other.getFeatureFractionCase());
if (!result) return false;
switch (featureFractionCase_) {
case 2:
result = result && (
java.lang.Float.floatToIntBits(getFeatureFractionPerTree())
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other.getFeatureFractionPerTree()));
break;
case 3:
result = result && (
java.lang.Float.floatToIntBits(getFeatureFractionPerLevel())
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other.getFeatureFractionPerLevel()));
break;
case 0:
default:
}
result = result && unknownFields.equals(other.unknownFields);
return result;
}
@java.lang.Override
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if (memoizedHashCode != 0) {
return memoizedHashCode;
}
int hash = 41;
hash = (19 * hash) + getDescriptor().hashCode();
hash = (37 * hash) + NUM_CLASSES_FIELD_NUMBER;
hash = (53 * hash) + getNumClasses();
if (hasRegularization()) {
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hash = (53 * hash) + getRegularization().hashCode();
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hash = (37 * hash) + PRUNING_MODE_FIELD_NUMBER;
hash = (53 * hash) + pruningMode_;
hash = (37 * hash) + GROWING_MODE_FIELD_NUMBER;
hash = (53 * hash) + growingMode_;
if (hasLearningRateTuner()) {
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hash = (53 * hash) + getAveragingConfig().hashCode();
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hash = (37 * hash) + WEAK_LEARNER_TYPE_FIELD_NUMBER;
hash = (53 * hash) + weakLearnerType_;
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case 2:
hash = (37 * hash) + FEATURE_FRACTION_PER_TREE_FIELD_NUMBER;
hash = (53 * hash) + java.lang.Float.floatToIntBits(
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case 3:
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hash = (53 * hash) + java.lang.Float.floatToIntBits(
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break;
case 0:
default:
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hash = (29 * hash) + unknownFields.hashCode();
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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.boosted_trees.learner.Learner.LearnerConfig) {
return mergeFrom((tensorflow.boosted_trees.learner.Learner.LearnerConfig)other);
} else {
super.mergeFrom(other);
return this;
}
}
public Builder mergeFrom(tensorflow.boosted_trees.learner.Learner.LearnerConfig other) {
if (other == tensorflow.boosted_trees.learner.Learner.LearnerConfig.getDefaultInstance()) return this;
if (other.getNumClasses() != 0) {
setNumClasses(other.getNumClasses());
}
if (other.hasRegularization()) {
mergeRegularization(other.getRegularization());
}
if (other.hasConstraints()) {
mergeConstraints(other.getConstraints());
}
if (other.pruningMode_ != 0) {
setPruningModeValue(other.getPruningModeValue());
}
if (other.growingMode_ != 0) {
setGrowingModeValue(other.getGrowingModeValue());
}
if (other.hasLearningRateTuner()) {
mergeLearningRateTuner(other.getLearningRateTuner());
}
if (other.multiClassStrategy_ != 0) {
setMultiClassStrategyValue(other.getMultiClassStrategyValue());
}
if (other.hasAveragingConfig()) {
mergeAveragingConfig(other.getAveragingConfig());
}
if (other.weakLearnerType_ != 0) {
setWeakLearnerTypeValue(other.getWeakLearnerTypeValue());
}
switch (other.getFeatureFractionCase()) {
case FEATURE_FRACTION_PER_TREE: {
setFeatureFractionPerTree(other.getFeatureFractionPerTree());
break;
}
case FEATURE_FRACTION_PER_LEVEL: {
setFeatureFractionPerLevel(other.getFeatureFractionPerLevel());
break;
}
case FEATUREFRACTION_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.boosted_trees.learner.Learner.LearnerConfig parsedMessage = null;
try {
parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
} catch (com.google.protobuf.InvalidProtocolBufferException e) {
parsedMessage = (tensorflow.boosted_trees.learner.Learner.LearnerConfig) e.getUnfinishedMessage();
throw e.unwrapIOException();
} finally {
if (parsedMessage != null) {
mergeFrom(parsedMessage);
}
}
return this;
}
private int featureFractionCase_ = 0;
private java.lang.Object featureFraction_;
public FeatureFractionCase
getFeatureFractionCase() {
return FeatureFractionCase.forNumber(
featureFractionCase_);
}
public Builder clearFeatureFraction() {
featureFractionCase_ = 0;
featureFraction_ = null;
onChanged();
return this;
}
private int numClasses_ ;
/**
*
* Number of classes.
*
*
* uint32 num_classes = 1;
*/
public int getNumClasses() {
return numClasses_;
}
/**
*
* Number of classes.
*
*
* uint32 num_classes = 1;
*/
public Builder setNumClasses(int value) {
numClasses_ = value;
onChanged();
return this;
}
/**
*
* Number of classes.
*
*
* uint32 num_classes = 1;
*/
public Builder clearNumClasses() {
numClasses_ = 0;
onChanged();
return this;
}
/**
* float feature_fraction_per_tree = 2;
*/
public float getFeatureFractionPerTree() {
if (featureFractionCase_ == 2) {
return (java.lang.Float) featureFraction_;
}
return 0F;
}
/**
* float feature_fraction_per_tree = 2;
*/
public Builder setFeatureFractionPerTree(float value) {
featureFractionCase_ = 2;
featureFraction_ = value;
onChanged();
return this;
}
/**
* float feature_fraction_per_tree = 2;
*/
public Builder clearFeatureFractionPerTree() {
if (featureFractionCase_ == 2) {
featureFractionCase_ = 0;
featureFraction_ = null;
onChanged();
}
return this;
}
/**
* float feature_fraction_per_level = 3;
*/
public float getFeatureFractionPerLevel() {
if (featureFractionCase_ == 3) {
return (java.lang.Float) featureFraction_;
}
return 0F;
}
/**
* float feature_fraction_per_level = 3;
*/
public Builder setFeatureFractionPerLevel(float value) {
featureFractionCase_ = 3;
featureFraction_ = value;
onChanged();
return this;
}
/**
* float feature_fraction_per_level = 3;
*/
public Builder clearFeatureFractionPerLevel() {
if (featureFractionCase_ == 3) {
featureFractionCase_ = 0;
featureFraction_ = null;
onChanged();
}
return this;
}
private tensorflow.boosted_trees.learner.Learner.TreeRegularizationConfig regularization_ = null;
private com.google.protobuf.SingleFieldBuilderV3<
tensorflow.boosted_trees.learner.Learner.TreeRegularizationConfig, tensorflow.boosted_trees.learner.Learner.TreeRegularizationConfig.Builder, tensorflow.boosted_trees.learner.Learner.TreeRegularizationConfigOrBuilder> regularizationBuilder_;
/**
*
* Regularization.
*
*
* .tensorflow.boosted_trees.learner.TreeRegularizationConfig regularization = 4;
*/
public boolean hasRegularization() {
return regularizationBuilder_ != null || regularization_ != null;
}
/**
*
* Regularization.
*
*
* .tensorflow.boosted_trees.learner.TreeRegularizationConfig regularization = 4;
*/
public tensorflow.boosted_trees.learner.Learner.TreeRegularizationConfig getRegularization() {
if (regularizationBuilder_ == null) {
return regularization_ == null ? tensorflow.boosted_trees.learner.Learner.TreeRegularizationConfig.getDefaultInstance() : regularization_;
} else {
return regularizationBuilder_.getMessage();
}
}
/**
*
* Regularization.
*
*
* .tensorflow.boosted_trees.learner.TreeRegularizationConfig regularization = 4;
*/
public Builder setRegularization(tensorflow.boosted_trees.learner.Learner.TreeRegularizationConfig value) {
if (regularizationBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
regularization_ = value;
onChanged();
} else {
regularizationBuilder_.setMessage(value);
}
return this;
}
/**
*
* Regularization.
*
*
* .tensorflow.boosted_trees.learner.TreeRegularizationConfig regularization = 4;
*/
public Builder setRegularization(
tensorflow.boosted_trees.learner.Learner.TreeRegularizationConfig.Builder builderForValue) {
if (regularizationBuilder_ == null) {
regularization_ = builderForValue.build();
onChanged();
} else {
regularizationBuilder_.setMessage(builderForValue.build());
}
return this;
}
/**
*
* Regularization.
*
*
* .tensorflow.boosted_trees.learner.TreeRegularizationConfig regularization = 4;
*/
public Builder mergeRegularization(tensorflow.boosted_trees.learner.Learner.TreeRegularizationConfig value) {
if (regularizationBuilder_ == null) {
if (regularization_ != null) {
regularization_ =
tensorflow.boosted_trees.learner.Learner.TreeRegularizationConfig.newBuilder(regularization_).mergeFrom(value).buildPartial();
} else {
regularization_ = value;
}
onChanged();
} else {
regularizationBuilder_.mergeFrom(value);
}
return this;
}
/**
*
* Regularization.
*
*
* .tensorflow.boosted_trees.learner.TreeRegularizationConfig regularization = 4;
*/
public Builder clearRegularization() {
if (regularizationBuilder_ == null) {
regularization_ = null;
onChanged();
} else {
regularization_ = null;
regularizationBuilder_ = null;
}
return this;
}
/**
*
* Regularization.
*
*
* .tensorflow.boosted_trees.learner.TreeRegularizationConfig regularization = 4;
*/
public tensorflow.boosted_trees.learner.Learner.TreeRegularizationConfig.Builder getRegularizationBuilder() {
onChanged();
return getRegularizationFieldBuilder().getBuilder();
}
/**
*
* Regularization.
*
*
* .tensorflow.boosted_trees.learner.TreeRegularizationConfig regularization = 4;
*/
public tensorflow.boosted_trees.learner.Learner.TreeRegularizationConfigOrBuilder getRegularizationOrBuilder() {
if (regularizationBuilder_ != null) {
return regularizationBuilder_.getMessageOrBuilder();
} else {
return regularization_ == null ?
tensorflow.boosted_trees.learner.Learner.TreeRegularizationConfig.getDefaultInstance() : regularization_;
}
}
/**
*
* Regularization.
*
*
* .tensorflow.boosted_trees.learner.TreeRegularizationConfig regularization = 4;
*/
private com.google.protobuf.SingleFieldBuilderV3<
tensorflow.boosted_trees.learner.Learner.TreeRegularizationConfig, tensorflow.boosted_trees.learner.Learner.TreeRegularizationConfig.Builder, tensorflow.boosted_trees.learner.Learner.TreeRegularizationConfigOrBuilder>
getRegularizationFieldBuilder() {
if (regularizationBuilder_ == null) {
regularizationBuilder_ = new com.google.protobuf.SingleFieldBuilderV3<
tensorflow.boosted_trees.learner.Learner.TreeRegularizationConfig, tensorflow.boosted_trees.learner.Learner.TreeRegularizationConfig.Builder, tensorflow.boosted_trees.learner.Learner.TreeRegularizationConfigOrBuilder>(
getRegularization(),
getParentForChildren(),
isClean());
regularization_ = null;
}
return regularizationBuilder_;
}
private tensorflow.boosted_trees.learner.Learner.TreeConstraintsConfig constraints_ = null;
private com.google.protobuf.SingleFieldBuilderV3<
tensorflow.boosted_trees.learner.Learner.TreeConstraintsConfig, tensorflow.boosted_trees.learner.Learner.TreeConstraintsConfig.Builder, tensorflow.boosted_trees.learner.Learner.TreeConstraintsConfigOrBuilder> constraintsBuilder_;
/**
*
* Constraints.
*
*
* .tensorflow.boosted_trees.learner.TreeConstraintsConfig constraints = 5;
*/
public boolean hasConstraints() {
return constraintsBuilder_ != null || constraints_ != null;
}
/**
*
* Constraints.
*
*
* .tensorflow.boosted_trees.learner.TreeConstraintsConfig constraints = 5;
*/
public tensorflow.boosted_trees.learner.Learner.TreeConstraintsConfig getConstraints() {
if (constraintsBuilder_ == null) {
return constraints_ == null ? tensorflow.boosted_trees.learner.Learner.TreeConstraintsConfig.getDefaultInstance() : constraints_;
} else {
return constraintsBuilder_.getMessage();
}
}
/**
*
* Constraints.
*
*
* .tensorflow.boosted_trees.learner.TreeConstraintsConfig constraints = 5;
*/
public Builder setConstraints(tensorflow.boosted_trees.learner.Learner.TreeConstraintsConfig value) {
if (constraintsBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
constraints_ = value;
onChanged();
} else {
constraintsBuilder_.setMessage(value);
}
return this;
}
/**
*
* Constraints.
*
*
* .tensorflow.boosted_trees.learner.TreeConstraintsConfig constraints = 5;
*/
public Builder setConstraints(
tensorflow.boosted_trees.learner.Learner.TreeConstraintsConfig.Builder builderForValue) {
if (constraintsBuilder_ == null) {
constraints_ = builderForValue.build();
onChanged();
} else {
constraintsBuilder_.setMessage(builderForValue.build());
}
return this;
}
/**
*
* Constraints.
*
*
* .tensorflow.boosted_trees.learner.TreeConstraintsConfig constraints = 5;
*/
public Builder mergeConstraints(tensorflow.boosted_trees.learner.Learner.TreeConstraintsConfig value) {
if (constraintsBuilder_ == null) {
if (constraints_ != null) {
constraints_ =
tensorflow.boosted_trees.learner.Learner.TreeConstraintsConfig.newBuilder(constraints_).mergeFrom(value).buildPartial();
} else {
constraints_ = value;
}
onChanged();
} else {
constraintsBuilder_.mergeFrom(value);
}
return this;
}
/**
*
* Constraints.
*
*
* .tensorflow.boosted_trees.learner.TreeConstraintsConfig constraints = 5;
*/
public Builder clearConstraints() {
if (constraintsBuilder_ == null) {
constraints_ = null;
onChanged();
} else {
constraints_ = null;
constraintsBuilder_ = null;
}
return this;
}
/**
*
* Constraints.
*
*
* .tensorflow.boosted_trees.learner.TreeConstraintsConfig constraints = 5;
*/
public tensorflow.boosted_trees.learner.Learner.TreeConstraintsConfig.Builder getConstraintsBuilder() {
onChanged();
return getConstraintsFieldBuilder().getBuilder();
}
/**
*
* Constraints.
*
*
* .tensorflow.boosted_trees.learner.TreeConstraintsConfig constraints = 5;
*/
public tensorflow.boosted_trees.learner.Learner.TreeConstraintsConfigOrBuilder getConstraintsOrBuilder() {
if (constraintsBuilder_ != null) {
return constraintsBuilder_.getMessageOrBuilder();
} else {
return constraints_ == null ?
tensorflow.boosted_trees.learner.Learner.TreeConstraintsConfig.getDefaultInstance() : constraints_;
}
}
/**
*
* Constraints.
*
*
* .tensorflow.boosted_trees.learner.TreeConstraintsConfig constraints = 5;
*/
private com.google.protobuf.SingleFieldBuilderV3<
tensorflow.boosted_trees.learner.Learner.TreeConstraintsConfig, tensorflow.boosted_trees.learner.Learner.TreeConstraintsConfig.Builder, tensorflow.boosted_trees.learner.Learner.TreeConstraintsConfigOrBuilder>
getConstraintsFieldBuilder() {
if (constraintsBuilder_ == null) {
constraintsBuilder_ = new com.google.protobuf.SingleFieldBuilderV3<
tensorflow.boosted_trees.learner.Learner.TreeConstraintsConfig, tensorflow.boosted_trees.learner.Learner.TreeConstraintsConfig.Builder, tensorflow.boosted_trees.learner.Learner.TreeConstraintsConfigOrBuilder>(
getConstraints(),
getParentForChildren(),
isClean());
constraints_ = null;
}
return constraintsBuilder_;
}
private int pruningMode_ = 0;
/**
*
* Pruning. POST_PRUNE is the default pruning mode.
*
*
* .tensorflow.boosted_trees.learner.LearnerConfig.PruningMode pruning_mode = 8;
*/
public int getPruningModeValue() {
return pruningMode_;
}
/**
*
* Pruning. POST_PRUNE is the default pruning mode.
*
*
* .tensorflow.boosted_trees.learner.LearnerConfig.PruningMode pruning_mode = 8;
*/
public Builder setPruningModeValue(int value) {
pruningMode_ = value;
onChanged();
return this;
}
/**
*
* Pruning. POST_PRUNE is the default pruning mode.
*
*
* .tensorflow.boosted_trees.learner.LearnerConfig.PruningMode pruning_mode = 8;
*/
public tensorflow.boosted_trees.learner.Learner.LearnerConfig.PruningMode getPruningMode() {
@SuppressWarnings("deprecation")
tensorflow.boosted_trees.learner.Learner.LearnerConfig.PruningMode result = tensorflow.boosted_trees.learner.Learner.LearnerConfig.PruningMode.valueOf(pruningMode_);
return result == null ? tensorflow.boosted_trees.learner.Learner.LearnerConfig.PruningMode.UNRECOGNIZED : result;
}
/**
*
* Pruning. POST_PRUNE is the default pruning mode.
*
*
* .tensorflow.boosted_trees.learner.LearnerConfig.PruningMode pruning_mode = 8;
*/
public Builder setPruningMode(tensorflow.boosted_trees.learner.Learner.LearnerConfig.PruningMode value) {
if (value == null) {
throw new NullPointerException();
}
pruningMode_ = value.getNumber();
onChanged();
return this;
}
/**
*
* Pruning. POST_PRUNE is the default pruning mode.
*
*
* .tensorflow.boosted_trees.learner.LearnerConfig.PruningMode pruning_mode = 8;
*/
public Builder clearPruningMode() {
pruningMode_ = 0;
onChanged();
return this;
}
private int growingMode_ = 0;
/**
*
* Growing Mode. LAYER_BY_LAYER is the default growing mode.
*
*
* .tensorflow.boosted_trees.learner.LearnerConfig.GrowingMode growing_mode = 9;
*/
public int getGrowingModeValue() {
return growingMode_;
}
/**
*
* Growing Mode. LAYER_BY_LAYER is the default growing mode.
*
*
* .tensorflow.boosted_trees.learner.LearnerConfig.GrowingMode growing_mode = 9;
*/
public Builder setGrowingModeValue(int value) {
growingMode_ = value;
onChanged();
return this;
}
/**
*
* Growing Mode. LAYER_BY_LAYER is the default growing mode.
*
*
* .tensorflow.boosted_trees.learner.LearnerConfig.GrowingMode growing_mode = 9;
*/
public tensorflow.boosted_trees.learner.Learner.LearnerConfig.GrowingMode getGrowingMode() {
@SuppressWarnings("deprecation")
tensorflow.boosted_trees.learner.Learner.LearnerConfig.GrowingMode result = tensorflow.boosted_trees.learner.Learner.LearnerConfig.GrowingMode.valueOf(growingMode_);
return result == null ? tensorflow.boosted_trees.learner.Learner.LearnerConfig.GrowingMode.UNRECOGNIZED : result;
}
/**
*
* Growing Mode. LAYER_BY_LAYER is the default growing mode.
*
*
* .tensorflow.boosted_trees.learner.LearnerConfig.GrowingMode growing_mode = 9;
*/
public Builder setGrowingMode(tensorflow.boosted_trees.learner.Learner.LearnerConfig.GrowingMode value) {
if (value == null) {
throw new NullPointerException();
}
growingMode_ = value.getNumber();
onChanged();
return this;
}
/**
*
* Growing Mode. LAYER_BY_LAYER is the default growing mode.
*
*
* .tensorflow.boosted_trees.learner.LearnerConfig.GrowingMode growing_mode = 9;
*/
public Builder clearGrowingMode() {
growingMode_ = 0;
onChanged();
return this;
}
private tensorflow.boosted_trees.learner.Learner.LearningRateConfig learningRateTuner_ = null;
private com.google.protobuf.SingleFieldBuilderV3<
tensorflow.boosted_trees.learner.Learner.LearningRateConfig, tensorflow.boosted_trees.learner.Learner.LearningRateConfig.Builder, tensorflow.boosted_trees.learner.Learner.LearningRateConfigOrBuilder> learningRateTunerBuilder_;
/**
*
* Learning rate. By default we use fixed learning rate of 0.1.
*
*
* .tensorflow.boosted_trees.learner.LearningRateConfig learning_rate_tuner = 6;
*/
public boolean hasLearningRateTuner() {
return learningRateTunerBuilder_ != null || learningRateTuner_ != null;
}
/**
*
* Learning rate. By default we use fixed learning rate of 0.1.
*
*
* .tensorflow.boosted_trees.learner.LearningRateConfig learning_rate_tuner = 6;
*/
public tensorflow.boosted_trees.learner.Learner.LearningRateConfig getLearningRateTuner() {
if (learningRateTunerBuilder_ == null) {
return learningRateTuner_ == null ? tensorflow.boosted_trees.learner.Learner.LearningRateConfig.getDefaultInstance() : learningRateTuner_;
} else {
return learningRateTunerBuilder_.getMessage();
}
}
/**
*
* Learning rate. By default we use fixed learning rate of 0.1.
*
*
* .tensorflow.boosted_trees.learner.LearningRateConfig learning_rate_tuner = 6;
*/
public Builder setLearningRateTuner(tensorflow.boosted_trees.learner.Learner.LearningRateConfig value) {
if (learningRateTunerBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
learningRateTuner_ = value;
onChanged();
} else {
learningRateTunerBuilder_.setMessage(value);
}
return this;
}
/**
*
* Learning rate. By default we use fixed learning rate of 0.1.
*
*
* .tensorflow.boosted_trees.learner.LearningRateConfig learning_rate_tuner = 6;
*/
public Builder setLearningRateTuner(
tensorflow.boosted_trees.learner.Learner.LearningRateConfig.Builder builderForValue) {
if (learningRateTunerBuilder_ == null) {
learningRateTuner_ = builderForValue.build();
onChanged();
} else {
learningRateTunerBuilder_.setMessage(builderForValue.build());
}
return this;
}
/**
*
* Learning rate. By default we use fixed learning rate of 0.1.
*
*
* .tensorflow.boosted_trees.learner.LearningRateConfig learning_rate_tuner = 6;
*/
public Builder mergeLearningRateTuner(tensorflow.boosted_trees.learner.Learner.LearningRateConfig value) {
if (learningRateTunerBuilder_ == null) {
if (learningRateTuner_ != null) {
learningRateTuner_ =
tensorflow.boosted_trees.learner.Learner.LearningRateConfig.newBuilder(learningRateTuner_).mergeFrom(value).buildPartial();
} else {
learningRateTuner_ = value;
}
onChanged();
} else {
learningRateTunerBuilder_.mergeFrom(value);
}
return this;
}
/**
*
* Learning rate. By default we use fixed learning rate of 0.1.
*
*
* .tensorflow.boosted_trees.learner.LearningRateConfig learning_rate_tuner = 6;
*/
public Builder clearLearningRateTuner() {
if (learningRateTunerBuilder_ == null) {
learningRateTuner_ = null;
onChanged();
} else {
learningRateTuner_ = null;
learningRateTunerBuilder_ = null;
}
return this;
}
/**
*
* Learning rate. By default we use fixed learning rate of 0.1.
*
*
* .tensorflow.boosted_trees.learner.LearningRateConfig learning_rate_tuner = 6;
*/
public tensorflow.boosted_trees.learner.Learner.LearningRateConfig.Builder getLearningRateTunerBuilder() {
onChanged();
return getLearningRateTunerFieldBuilder().getBuilder();
}
/**
*
* Learning rate. By default we use fixed learning rate of 0.1.
*
*
* .tensorflow.boosted_trees.learner.LearningRateConfig learning_rate_tuner = 6;
*/
public tensorflow.boosted_trees.learner.Learner.LearningRateConfigOrBuilder getLearningRateTunerOrBuilder() {
if (learningRateTunerBuilder_ != null) {
return learningRateTunerBuilder_.getMessageOrBuilder();
} else {
return learningRateTuner_ == null ?
tensorflow.boosted_trees.learner.Learner.LearningRateConfig.getDefaultInstance() : learningRateTuner_;
}
}
/**
*
* Learning rate. By default we use fixed learning rate of 0.1.
*
*
* .tensorflow.boosted_trees.learner.LearningRateConfig learning_rate_tuner = 6;
*/
private com.google.protobuf.SingleFieldBuilderV3<
tensorflow.boosted_trees.learner.Learner.LearningRateConfig, tensorflow.boosted_trees.learner.Learner.LearningRateConfig.Builder, tensorflow.boosted_trees.learner.Learner.LearningRateConfigOrBuilder>
getLearningRateTunerFieldBuilder() {
if (learningRateTunerBuilder_ == null) {
learningRateTunerBuilder_ = new com.google.protobuf.SingleFieldBuilderV3<
tensorflow.boosted_trees.learner.Learner.LearningRateConfig, tensorflow.boosted_trees.learner.Learner.LearningRateConfig.Builder, tensorflow.boosted_trees.learner.Learner.LearningRateConfigOrBuilder>(
getLearningRateTuner(),
getParentForChildren(),
isClean());
learningRateTuner_ = null;
}
return learningRateTunerBuilder_;
}
private int multiClassStrategy_ = 0;
/**
*
* Multi-class strategy. By default we use TREE_PER_CLASS for binary
* classification and linear regression. For other cases, we use
* DIAGONAL_HESSIAN as the default.
*
*
* .tensorflow.boosted_trees.learner.LearnerConfig.MultiClassStrategy multi_class_strategy = 10;
*/
public int getMultiClassStrategyValue() {
return multiClassStrategy_;
}
/**
*
* Multi-class strategy. By default we use TREE_PER_CLASS for binary
* classification and linear regression. For other cases, we use
* DIAGONAL_HESSIAN as the default.
*
*
* .tensorflow.boosted_trees.learner.LearnerConfig.MultiClassStrategy multi_class_strategy = 10;
*/
public Builder setMultiClassStrategyValue(int value) {
multiClassStrategy_ = value;
onChanged();
return this;
}
/**
*
* Multi-class strategy. By default we use TREE_PER_CLASS for binary
* classification and linear regression. For other cases, we use
* DIAGONAL_HESSIAN as the default.
*
*
* .tensorflow.boosted_trees.learner.LearnerConfig.MultiClassStrategy multi_class_strategy = 10;
*/
public tensorflow.boosted_trees.learner.Learner.LearnerConfig.MultiClassStrategy getMultiClassStrategy() {
@SuppressWarnings("deprecation")
tensorflow.boosted_trees.learner.Learner.LearnerConfig.MultiClassStrategy result = tensorflow.boosted_trees.learner.Learner.LearnerConfig.MultiClassStrategy.valueOf(multiClassStrategy_);
return result == null ? tensorflow.boosted_trees.learner.Learner.LearnerConfig.MultiClassStrategy.UNRECOGNIZED : result;
}
/**
*
* Multi-class strategy. By default we use TREE_PER_CLASS for binary
* classification and linear regression. For other cases, we use
* DIAGONAL_HESSIAN as the default.
*
*
* .tensorflow.boosted_trees.learner.LearnerConfig.MultiClassStrategy multi_class_strategy = 10;
*/
public Builder setMultiClassStrategy(tensorflow.boosted_trees.learner.Learner.LearnerConfig.MultiClassStrategy value) {
if (value == null) {
throw new NullPointerException();
}
multiClassStrategy_ = value.getNumber();
onChanged();
return this;
}
/**
*
* Multi-class strategy. By default we use TREE_PER_CLASS for binary
* classification and linear regression. For other cases, we use
* DIAGONAL_HESSIAN as the default.
*
*
* .tensorflow.boosted_trees.learner.LearnerConfig.MultiClassStrategy multi_class_strategy = 10;
*/
public Builder clearMultiClassStrategy() {
multiClassStrategy_ = 0;
onChanged();
return this;
}
private tensorflow.boosted_trees.learner.Learner.AveragingConfig averagingConfig_ = null;
private com.google.protobuf.SingleFieldBuilderV3<
tensorflow.boosted_trees.learner.Learner.AveragingConfig, tensorflow.boosted_trees.learner.Learner.AveragingConfig.Builder, tensorflow.boosted_trees.learner.Learner.AveragingConfigOrBuilder> averagingConfigBuilder_;
/**
*
* If you want to average the ensembles (for regularization), provide the
* config below.
*
*
* .tensorflow.boosted_trees.learner.AveragingConfig averaging_config = 11;
*/
public boolean hasAveragingConfig() {
return averagingConfigBuilder_ != null || averagingConfig_ != null;
}
/**
*
* If you want to average the ensembles (for regularization), provide the
* config below.
*
*
* .tensorflow.boosted_trees.learner.AveragingConfig averaging_config = 11;
*/
public tensorflow.boosted_trees.learner.Learner.AveragingConfig getAveragingConfig() {
if (averagingConfigBuilder_ == null) {
return averagingConfig_ == null ? tensorflow.boosted_trees.learner.Learner.AveragingConfig.getDefaultInstance() : averagingConfig_;
} else {
return averagingConfigBuilder_.getMessage();
}
}
/**
*
* If you want to average the ensembles (for regularization), provide the
* config below.
*
*
* .tensorflow.boosted_trees.learner.AveragingConfig averaging_config = 11;
*/
public Builder setAveragingConfig(tensorflow.boosted_trees.learner.Learner.AveragingConfig value) {
if (averagingConfigBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
averagingConfig_ = value;
onChanged();
} else {
averagingConfigBuilder_.setMessage(value);
}
return this;
}
/**
*
* If you want to average the ensembles (for regularization), provide the
* config below.
*
*
* .tensorflow.boosted_trees.learner.AveragingConfig averaging_config = 11;
*/
public Builder setAveragingConfig(
tensorflow.boosted_trees.learner.Learner.AveragingConfig.Builder builderForValue) {
if (averagingConfigBuilder_ == null) {
averagingConfig_ = builderForValue.build();
onChanged();
} else {
averagingConfigBuilder_.setMessage(builderForValue.build());
}
return this;
}
/**
*
* If you want to average the ensembles (for regularization), provide the
* config below.
*
*
* .tensorflow.boosted_trees.learner.AveragingConfig averaging_config = 11;
*/
public Builder mergeAveragingConfig(tensorflow.boosted_trees.learner.Learner.AveragingConfig value) {
if (averagingConfigBuilder_ == null) {
if (averagingConfig_ != null) {
averagingConfig_ =
tensorflow.boosted_trees.learner.Learner.AveragingConfig.newBuilder(averagingConfig_).mergeFrom(value).buildPartial();
} else {
averagingConfig_ = value;
}
onChanged();
} else {
averagingConfigBuilder_.mergeFrom(value);
}
return this;
}
/**
*
* If you want to average the ensembles (for regularization), provide the
* config below.
*
*
* .tensorflow.boosted_trees.learner.AveragingConfig averaging_config = 11;
*/
public Builder clearAveragingConfig() {
if (averagingConfigBuilder_ == null) {
averagingConfig_ = null;
onChanged();
} else {
averagingConfig_ = null;
averagingConfigBuilder_ = null;
}
return this;
}
/**
*
* If you want to average the ensembles (for regularization), provide the
* config below.
*
*
* .tensorflow.boosted_trees.learner.AveragingConfig averaging_config = 11;
*/
public tensorflow.boosted_trees.learner.Learner.AveragingConfig.Builder getAveragingConfigBuilder() {
onChanged();
return getAveragingConfigFieldBuilder().getBuilder();
}
/**
*
* If you want to average the ensembles (for regularization), provide the
* config below.
*
*
* .tensorflow.boosted_trees.learner.AveragingConfig averaging_config = 11;
*/
public tensorflow.boosted_trees.learner.Learner.AveragingConfigOrBuilder getAveragingConfigOrBuilder() {
if (averagingConfigBuilder_ != null) {
return averagingConfigBuilder_.getMessageOrBuilder();
} else {
return averagingConfig_ == null ?
tensorflow.boosted_trees.learner.Learner.AveragingConfig.getDefaultInstance() : averagingConfig_;
}
}
/**
*
* If you want to average the ensembles (for regularization), provide the
* config below.
*
*
* .tensorflow.boosted_trees.learner.AveragingConfig averaging_config = 11;
*/
private com.google.protobuf.SingleFieldBuilderV3<
tensorflow.boosted_trees.learner.Learner.AveragingConfig, tensorflow.boosted_trees.learner.Learner.AveragingConfig.Builder, tensorflow.boosted_trees.learner.Learner.AveragingConfigOrBuilder>
getAveragingConfigFieldBuilder() {
if (averagingConfigBuilder_ == null) {
averagingConfigBuilder_ = new com.google.protobuf.SingleFieldBuilderV3<
tensorflow.boosted_trees.learner.Learner.AveragingConfig, tensorflow.boosted_trees.learner.Learner.AveragingConfig.Builder, tensorflow.boosted_trees.learner.Learner.AveragingConfigOrBuilder>(
getAveragingConfig(),
getParentForChildren(),
isClean());
averagingConfig_ = null;
}
return averagingConfigBuilder_;
}
private int weakLearnerType_ = 0;
/**
*
* By default we use NORMAL_DECISION_TREE as weak learner.
*
*
* .tensorflow.boosted_trees.learner.LearnerConfig.WeakLearnerType weak_learner_type = 12;
*/
public int getWeakLearnerTypeValue() {
return weakLearnerType_;
}
/**
*
* By default we use NORMAL_DECISION_TREE as weak learner.
*
*
* .tensorflow.boosted_trees.learner.LearnerConfig.WeakLearnerType weak_learner_type = 12;
*/
public Builder setWeakLearnerTypeValue(int value) {
weakLearnerType_ = value;
onChanged();
return this;
}
/**
*
* By default we use NORMAL_DECISION_TREE as weak learner.
*
*
* .tensorflow.boosted_trees.learner.LearnerConfig.WeakLearnerType weak_learner_type = 12;
*/
public tensorflow.boosted_trees.learner.Learner.LearnerConfig.WeakLearnerType getWeakLearnerType() {
@SuppressWarnings("deprecation")
tensorflow.boosted_trees.learner.Learner.LearnerConfig.WeakLearnerType result = tensorflow.boosted_trees.learner.Learner.LearnerConfig.WeakLearnerType.valueOf(weakLearnerType_);
return result == null ? tensorflow.boosted_trees.learner.Learner.LearnerConfig.WeakLearnerType.UNRECOGNIZED : result;
}
/**
*
* By default we use NORMAL_DECISION_TREE as weak learner.
*
*
* .tensorflow.boosted_trees.learner.LearnerConfig.WeakLearnerType weak_learner_type = 12;
*/
public Builder setWeakLearnerType(tensorflow.boosted_trees.learner.Learner.LearnerConfig.WeakLearnerType value) {
if (value == null) {
throw new NullPointerException();
}
weakLearnerType_ = value.getNumber();
onChanged();
return this;
}
/**
*
* By default we use NORMAL_DECISION_TREE as weak learner.
*
*
* .tensorflow.boosted_trees.learner.LearnerConfig.WeakLearnerType weak_learner_type = 12;
*/
public Builder clearWeakLearnerType() {
weakLearnerType_ = 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.boosted_trees.learner.LearnerConfig)
}
// @@protoc_insertion_point(class_scope:tensorflow.boosted_trees.learner.LearnerConfig)
private static final tensorflow.boosted_trees.learner.Learner.LearnerConfig DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new tensorflow.boosted_trees.learner.Learner.LearnerConfig();
}
public static tensorflow.boosted_trees.learner.Learner.LearnerConfig getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser
PARSER = new com.google.protobuf.AbstractParser() {
@java.lang.Override
public LearnerConfig parsePartialFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return new LearnerConfig(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.boosted_trees.learner.Learner.LearnerConfig getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
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internal_static_tensorflow_boosted_trees_learner_TreeRegularizationConfig_descriptor;
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internal_static_tensorflow_boosted_trees_learner_TreeRegularizationConfig_fieldAccessorTable;
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internal_static_tensorflow_boosted_trees_learner_TreeConstraintsConfig_fieldAccessorTable;
private static final com.google.protobuf.Descriptors.Descriptor
internal_static_tensorflow_boosted_trees_learner_LearningRateConfig_descriptor;
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"l1\030\001 \001(\002\022\n\n\002l2\030\002 \001(\002\022\027\n\017tree_complexity\030" +
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"rningRateDropoutDrivenConfig\022\033\n\023dropout_" +
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"onfig.MultiClassStrategy\022K\n\020averaging_co" +
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"lassStrategy\022$\n MULTI_CLASS_STRATEGY_UNS" +
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"ESSIAN\020\002\022\024\n\020DIAGONAL_HESSIAN\020\003\"H\n\017WeakLe" +
"arnerType\022\030\n\024NORMAL_DECISION_TREE\020\000\022\033\n\027O" +
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}
// @@protoc_insertion_point(outer_class_scope)
}
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