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// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: tensorflow_metadata/proto/v0/problem_statement.proto
// Protobuf Java Version: 3.25.4
package org.tensorflow.metadata.v0;
/**
*
* A one-dimensional regression task.
* The output is a single real number, whose range is dependent upon the
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*
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try {
boolean done = false;
while (!done) {
int tag = input.readTag();
switch (tag) {
case 0:
done = true;
break;
case 10: {
java.lang.String s = input.readStringRequireUtf8();
labelIdCase_ = 1;
labelId_ = s;
break;
} // case 10
case 18: {
weight_ = input.readStringRequireUtf8();
bitField0_ |= 0x00000004;
break;
} // case 18
case 26: {
input.readMessage(
getLabelPathFieldBuilder().getBuilder(),
extensionRegistry);
labelIdCase_ = 3;
break;
} // case 26
case 34: {
input.readMessage(
getProbabilityFieldBuilder().getBuilder(),
extensionRegistry);
labelTypeCase_ = 4;
break;
} // case 34
case 42: {
input.readMessage(
getCountsFieldBuilder().getBuilder(),
extensionRegistry);
labelTypeCase_ = 5;
break;
} // case 42
default: {
if (!super.parseUnknownField(input, extensionRegistry, tag)) {
done = true; // was an endgroup tag
}
break;
} // default:
} // switch (tag)
} // while (!done)
} catch (com.google.protobuf.InvalidProtocolBufferException e) {
throw e.unwrapIOException();
} finally {
onChanged();
} // finally
return this;
}
private int labelIdCase_ = 0;
private java.lang.Object labelId_;
public LabelIdCase
getLabelIdCase() {
return LabelIdCase.forNumber(
labelIdCase_);
}
public Builder clearLabelId() {
labelIdCase_ = 0;
labelId_ = null;
onChanged();
return this;
}
private int labelTypeCase_ = 0;
private java.lang.Object labelType_;
public LabelTypeCase
getLabelTypeCase() {
return LabelTypeCase.forNumber(
labelTypeCase_);
}
public Builder clearLabelType() {
labelTypeCase_ = 0;
labelType_ = null;
onChanged();
return this;
}
private int bitField0_;
/**
*
* The name of the label. Assumes the label is a flat, top-level field.
*
*
* string label = 1;
* @return Whether the label field is set.
*/
@java.lang.Override
public boolean hasLabel() {
return labelIdCase_ == 1;
}
/**
*
* The name of the label. Assumes the label is a flat, top-level field.
*
*
* string label = 1;
* @return The label.
*/
@java.lang.Override
public java.lang.String getLabel() {
java.lang.Object ref = "";
if (labelIdCase_ == 1) {
ref = labelId_;
}
if (!(ref instanceof java.lang.String)) {
com.google.protobuf.ByteString bs =
(com.google.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
if (labelIdCase_ == 1) {
labelId_ = s;
}
return s;
} else {
return (java.lang.String) ref;
}
}
/**
*
* The name of the label. Assumes the label is a flat, top-level field.
*
*
* string label = 1;
* @return The bytes for label.
*/
@java.lang.Override
public com.google.protobuf.ByteString
getLabelBytes() {
java.lang.Object ref = "";
if (labelIdCase_ == 1) {
ref = labelId_;
}
if (ref instanceof String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8(
(java.lang.String) ref);
if (labelIdCase_ == 1) {
labelId_ = b;
}
return b;
} else {
return (com.google.protobuf.ByteString) ref;
}
}
/**
*
* The name of the label. Assumes the label is a flat, top-level field.
*
*
* string label = 1;
* @param value The label to set.
* @return This builder for chaining.
*/
public Builder setLabel(
java.lang.String value) {
if (value == null) { throw new NullPointerException(); }
labelIdCase_ = 1;
labelId_ = value;
onChanged();
return this;
}
/**
*
* The name of the label. Assumes the label is a flat, top-level field.
*
*
* string label = 1;
* @return This builder for chaining.
*/
public Builder clearLabel() {
if (labelIdCase_ == 1) {
labelIdCase_ = 0;
labelId_ = null;
onChanged();
}
return this;
}
/**
*
* The name of the label. Assumes the label is a flat, top-level field.
*
*
* string label = 1;
* @param value The bytes for label to set.
* @return This builder for chaining.
*/
public Builder setLabelBytes(
com.google.protobuf.ByteString value) {
if (value == null) { throw new NullPointerException(); }
checkByteStringIsUtf8(value);
labelIdCase_ = 1;
labelId_ = value;
onChanged();
return this;
}
private com.google.protobuf.SingleFieldBuilderV3<
org.tensorflow.metadata.v0.Path, org.tensorflow.metadata.v0.Path.Builder, org.tensorflow.metadata.v0.PathOrBuilder> labelPathBuilder_;
/**
*
* A path can be used instead of a flat string if the label is nested.
*
*
* .tensorflow.metadata.v0.Path label_path = 3;
* @return Whether the labelPath field is set.
*/
@java.lang.Override
public boolean hasLabelPath() {
return labelIdCase_ == 3;
}
/**
*
* A path can be used instead of a flat string if the label is nested.
*
*
* .tensorflow.metadata.v0.Path label_path = 3;
* @return The labelPath.
*/
@java.lang.Override
public org.tensorflow.metadata.v0.Path getLabelPath() {
if (labelPathBuilder_ == null) {
if (labelIdCase_ == 3) {
return (org.tensorflow.metadata.v0.Path) labelId_;
}
return org.tensorflow.metadata.v0.Path.getDefaultInstance();
} else {
if (labelIdCase_ == 3) {
return labelPathBuilder_.getMessage();
}
return org.tensorflow.metadata.v0.Path.getDefaultInstance();
}
}
/**
*
* A path can be used instead of a flat string if the label is nested.
*
*
* .tensorflow.metadata.v0.Path label_path = 3;
*/
public Builder setLabelPath(org.tensorflow.metadata.v0.Path value) {
if (labelPathBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
labelId_ = value;
onChanged();
} else {
labelPathBuilder_.setMessage(value);
}
labelIdCase_ = 3;
return this;
}
/**
*
* A path can be used instead of a flat string if the label is nested.
*
*
* .tensorflow.metadata.v0.Path label_path = 3;
*/
public Builder setLabelPath(
org.tensorflow.metadata.v0.Path.Builder builderForValue) {
if (labelPathBuilder_ == null) {
labelId_ = builderForValue.build();
onChanged();
} else {
labelPathBuilder_.setMessage(builderForValue.build());
}
labelIdCase_ = 3;
return this;
}
/**
*
* A path can be used instead of a flat string if the label is nested.
*
*
* .tensorflow.metadata.v0.Path label_path = 3;
*/
public Builder mergeLabelPath(org.tensorflow.metadata.v0.Path value) {
if (labelPathBuilder_ == null) {
if (labelIdCase_ == 3 &&
labelId_ != org.tensorflow.metadata.v0.Path.getDefaultInstance()) {
labelId_ = org.tensorflow.metadata.v0.Path.newBuilder((org.tensorflow.metadata.v0.Path) labelId_)
.mergeFrom(value).buildPartial();
} else {
labelId_ = value;
}
onChanged();
} else {
if (labelIdCase_ == 3) {
labelPathBuilder_.mergeFrom(value);
} else {
labelPathBuilder_.setMessage(value);
}
}
labelIdCase_ = 3;
return this;
}
/**
*
* A path can be used instead of a flat string if the label is nested.
*
*
* .tensorflow.metadata.v0.Path label_path = 3;
*/
public Builder clearLabelPath() {
if (labelPathBuilder_ == null) {
if (labelIdCase_ == 3) {
labelIdCase_ = 0;
labelId_ = null;
onChanged();
}
} else {
if (labelIdCase_ == 3) {
labelIdCase_ = 0;
labelId_ = null;
}
labelPathBuilder_.clear();
}
return this;
}
/**
*
* A path can be used instead of a flat string if the label is nested.
*
*
* .tensorflow.metadata.v0.Path label_path = 3;
*/
public org.tensorflow.metadata.v0.Path.Builder getLabelPathBuilder() {
return getLabelPathFieldBuilder().getBuilder();
}
/**
*
* A path can be used instead of a flat string if the label is nested.
*
*
* .tensorflow.metadata.v0.Path label_path = 3;
*/
@java.lang.Override
public org.tensorflow.metadata.v0.PathOrBuilder getLabelPathOrBuilder() {
if ((labelIdCase_ == 3) && (labelPathBuilder_ != null)) {
return labelPathBuilder_.getMessageOrBuilder();
} else {
if (labelIdCase_ == 3) {
return (org.tensorflow.metadata.v0.Path) labelId_;
}
return org.tensorflow.metadata.v0.Path.getDefaultInstance();
}
}
/**
*
* A path can be used instead of a flat string if the label is nested.
*
*
* .tensorflow.metadata.v0.Path label_path = 3;
*/
private com.google.protobuf.SingleFieldBuilderV3<
org.tensorflow.metadata.v0.Path, org.tensorflow.metadata.v0.Path.Builder, org.tensorflow.metadata.v0.PathOrBuilder>
getLabelPathFieldBuilder() {
if (labelPathBuilder_ == null) {
if (!(labelIdCase_ == 3)) {
labelId_ = org.tensorflow.metadata.v0.Path.getDefaultInstance();
}
labelPathBuilder_ = new com.google.protobuf.SingleFieldBuilderV3<
org.tensorflow.metadata.v0.Path, org.tensorflow.metadata.v0.Path.Builder, org.tensorflow.metadata.v0.PathOrBuilder>(
(org.tensorflow.metadata.v0.Path) labelId_,
getParentForChildren(),
isClean());
labelId_ = null;
}
labelIdCase_ = 3;
onChanged();
return labelPathBuilder_;
}
private java.lang.Object weight_ = "";
/**
*
* (optional) The weight column.
*
*
* string weight = 2;
* @return The weight.
*/
public java.lang.String getWeight() {
java.lang.Object ref = weight_;
if (!(ref instanceof java.lang.String)) {
com.google.protobuf.ByteString bs =
(com.google.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
weight_ = s;
return s;
} else {
return (java.lang.String) ref;
}
}
/**
*
* (optional) The weight column.
*
*
* string weight = 2;
* @return The bytes for weight.
*/
public com.google.protobuf.ByteString
getWeightBytes() {
java.lang.Object ref = weight_;
if (ref instanceof String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8(
(java.lang.String) ref);
weight_ = b;
return b;
} else {
return (com.google.protobuf.ByteString) ref;
}
}
/**
*
* (optional) The weight column.
*
*
* string weight = 2;
* @param value The weight to set.
* @return This builder for chaining.
*/
public Builder setWeight(
java.lang.String value) {
if (value == null) { throw new NullPointerException(); }
weight_ = value;
bitField0_ |= 0x00000004;
onChanged();
return this;
}
/**
*
* (optional) The weight column.
*
*
* string weight = 2;
* @return This builder for chaining.
*/
public Builder clearWeight() {
weight_ = getDefaultInstance().getWeight();
bitField0_ = (bitField0_ & ~0x00000004);
onChanged();
return this;
}
/**
*
* (optional) The weight column.
*
*
* string weight = 2;
* @param value The bytes for weight to set.
* @return This builder for chaining.
*/
public Builder setWeightBytes(
com.google.protobuf.ByteString value) {
if (value == null) { throw new NullPointerException(); }
checkByteStringIsUtf8(value);
weight_ = value;
bitField0_ |= 0x00000004;
onChanged();
return this;
}
private com.google.protobuf.SingleFieldBuilderV3<
org.tensorflow.metadata.v0.OneDimensionalRegression.Probability, org.tensorflow.metadata.v0.OneDimensionalRegression.Probability.Builder, org.tensorflow.metadata.v0.OneDimensionalRegression.ProbabilityOrBuilder> probabilityBuilder_;
/**
*
* When set means the label is a probability in range [0..1].
*
*
* .tensorflow.metadata.v0.OneDimensionalRegression.Probability probability = 4;
* @return Whether the probability field is set.
*/
@java.lang.Override
public boolean hasProbability() {
return labelTypeCase_ == 4;
}
/**
*
* When set means the label is a probability in range [0..1].
*
*
* .tensorflow.metadata.v0.OneDimensionalRegression.Probability probability = 4;
* @return The probability.
*/
@java.lang.Override
public org.tensorflow.metadata.v0.OneDimensionalRegression.Probability getProbability() {
if (probabilityBuilder_ == null) {
if (labelTypeCase_ == 4) {
return (org.tensorflow.metadata.v0.OneDimensionalRegression.Probability) labelType_;
}
return org.tensorflow.metadata.v0.OneDimensionalRegression.Probability.getDefaultInstance();
} else {
if (labelTypeCase_ == 4) {
return probabilityBuilder_.getMessage();
}
return org.tensorflow.metadata.v0.OneDimensionalRegression.Probability.getDefaultInstance();
}
}
/**
*
* When set means the label is a probability in range [0..1].
*
*
* .tensorflow.metadata.v0.OneDimensionalRegression.Probability probability = 4;
*/
public Builder setProbability(org.tensorflow.metadata.v0.OneDimensionalRegression.Probability value) {
if (probabilityBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
labelType_ = value;
onChanged();
} else {
probabilityBuilder_.setMessage(value);
}
labelTypeCase_ = 4;
return this;
}
/**
*
* When set means the label is a probability in range [0..1].
*
*
* .tensorflow.metadata.v0.OneDimensionalRegression.Probability probability = 4;
*/
public Builder setProbability(
org.tensorflow.metadata.v0.OneDimensionalRegression.Probability.Builder builderForValue) {
if (probabilityBuilder_ == null) {
labelType_ = builderForValue.build();
onChanged();
} else {
probabilityBuilder_.setMessage(builderForValue.build());
}
labelTypeCase_ = 4;
return this;
}
/**
*
* When set means the label is a probability in range [0..1].
*
*
* .tensorflow.metadata.v0.OneDimensionalRegression.Probability probability = 4;
*/
public Builder mergeProbability(org.tensorflow.metadata.v0.OneDimensionalRegression.Probability value) {
if (probabilityBuilder_ == null) {
if (labelTypeCase_ == 4 &&
labelType_ != org.tensorflow.metadata.v0.OneDimensionalRegression.Probability.getDefaultInstance()) {
labelType_ = org.tensorflow.metadata.v0.OneDimensionalRegression.Probability.newBuilder((org.tensorflow.metadata.v0.OneDimensionalRegression.Probability) labelType_)
.mergeFrom(value).buildPartial();
} else {
labelType_ = value;
}
onChanged();
} else {
if (labelTypeCase_ == 4) {
probabilityBuilder_.mergeFrom(value);
} else {
probabilityBuilder_.setMessage(value);
}
}
labelTypeCase_ = 4;
return this;
}
/**
*
* When set means the label is a probability in range [0..1].
*
*
* .tensorflow.metadata.v0.OneDimensionalRegression.Probability probability = 4;
*/
public Builder clearProbability() {
if (probabilityBuilder_ == null) {
if (labelTypeCase_ == 4) {
labelTypeCase_ = 0;
labelType_ = null;
onChanged();
}
} else {
if (labelTypeCase_ == 4) {
labelTypeCase_ = 0;
labelType_ = null;
}
probabilityBuilder_.clear();
}
return this;
}
/**
*
* When set means the label is a probability in range [0..1].
*
*
* .tensorflow.metadata.v0.OneDimensionalRegression.Probability probability = 4;
*/
public org.tensorflow.metadata.v0.OneDimensionalRegression.Probability.Builder getProbabilityBuilder() {
return getProbabilityFieldBuilder().getBuilder();
}
/**
*
* When set means the label is a probability in range [0..1].
*
*
* .tensorflow.metadata.v0.OneDimensionalRegression.Probability probability = 4;
*/
@java.lang.Override
public org.tensorflow.metadata.v0.OneDimensionalRegression.ProbabilityOrBuilder getProbabilityOrBuilder() {
if ((labelTypeCase_ == 4) && (probabilityBuilder_ != null)) {
return probabilityBuilder_.getMessageOrBuilder();
} else {
if (labelTypeCase_ == 4) {
return (org.tensorflow.metadata.v0.OneDimensionalRegression.Probability) labelType_;
}
return org.tensorflow.metadata.v0.OneDimensionalRegression.Probability.getDefaultInstance();
}
}
/**
*
* When set means the label is a probability in range [0..1].
*
*
* .tensorflow.metadata.v0.OneDimensionalRegression.Probability probability = 4;
*/
private com.google.protobuf.SingleFieldBuilderV3<
org.tensorflow.metadata.v0.OneDimensionalRegression.Probability, org.tensorflow.metadata.v0.OneDimensionalRegression.Probability.Builder, org.tensorflow.metadata.v0.OneDimensionalRegression.ProbabilityOrBuilder>
getProbabilityFieldBuilder() {
if (probabilityBuilder_ == null) {
if (!(labelTypeCase_ == 4)) {
labelType_ = org.tensorflow.metadata.v0.OneDimensionalRegression.Probability.getDefaultInstance();
}
probabilityBuilder_ = new com.google.protobuf.SingleFieldBuilderV3<
org.tensorflow.metadata.v0.OneDimensionalRegression.Probability, org.tensorflow.metadata.v0.OneDimensionalRegression.Probability.Builder, org.tensorflow.metadata.v0.OneDimensionalRegression.ProbabilityOrBuilder>(
(org.tensorflow.metadata.v0.OneDimensionalRegression.Probability) labelType_,
getParentForChildren(),
isClean());
labelType_ = null;
}
labelTypeCase_ = 4;
onChanged();
return probabilityBuilder_;
}
private com.google.protobuf.SingleFieldBuilderV3<
org.tensorflow.metadata.v0.OneDimensionalRegression.Counts, org.tensorflow.metadata.v0.OneDimensionalRegression.Counts.Builder, org.tensorflow.metadata.v0.OneDimensionalRegression.CountsOrBuilder> countsBuilder_;
/**
*
* When set the label corresponds to counts from a poisson distribution.
* Eg: Number of googlers contributing to memegen each year.
*
*
* .tensorflow.metadata.v0.OneDimensionalRegression.Counts counts = 5;
* @return Whether the counts field is set.
*/
@java.lang.Override
public boolean hasCounts() {
return labelTypeCase_ == 5;
}
/**
*
* When set the label corresponds to counts from a poisson distribution.
* Eg: Number of googlers contributing to memegen each year.
*
*
* .tensorflow.metadata.v0.OneDimensionalRegression.Counts counts = 5;
* @return The counts.
*/
@java.lang.Override
public org.tensorflow.metadata.v0.OneDimensionalRegression.Counts getCounts() {
if (countsBuilder_ == null) {
if (labelTypeCase_ == 5) {
return (org.tensorflow.metadata.v0.OneDimensionalRegression.Counts) labelType_;
}
return org.tensorflow.metadata.v0.OneDimensionalRegression.Counts.getDefaultInstance();
} else {
if (labelTypeCase_ == 5) {
return countsBuilder_.getMessage();
}
return org.tensorflow.metadata.v0.OneDimensionalRegression.Counts.getDefaultInstance();
}
}
/**
*
* When set the label corresponds to counts from a poisson distribution.
* Eg: Number of googlers contributing to memegen each year.
*
*
* .tensorflow.metadata.v0.OneDimensionalRegression.Counts counts = 5;
*/
public Builder setCounts(org.tensorflow.metadata.v0.OneDimensionalRegression.Counts value) {
if (countsBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
labelType_ = value;
onChanged();
} else {
countsBuilder_.setMessage(value);
}
labelTypeCase_ = 5;
return this;
}
/**
*
* When set the label corresponds to counts from a poisson distribution.
* Eg: Number of googlers contributing to memegen each year.
*
*
* .tensorflow.metadata.v0.OneDimensionalRegression.Counts counts = 5;
*/
public Builder setCounts(
org.tensorflow.metadata.v0.OneDimensionalRegression.Counts.Builder builderForValue) {
if (countsBuilder_ == null) {
labelType_ = builderForValue.build();
onChanged();
} else {
countsBuilder_.setMessage(builderForValue.build());
}
labelTypeCase_ = 5;
return this;
}
/**
*
* When set the label corresponds to counts from a poisson distribution.
* Eg: Number of googlers contributing to memegen each year.
*
*
* .tensorflow.metadata.v0.OneDimensionalRegression.Counts counts = 5;
*/
public Builder mergeCounts(org.tensorflow.metadata.v0.OneDimensionalRegression.Counts value) {
if (countsBuilder_ == null) {
if (labelTypeCase_ == 5 &&
labelType_ != org.tensorflow.metadata.v0.OneDimensionalRegression.Counts.getDefaultInstance()) {
labelType_ = org.tensorflow.metadata.v0.OneDimensionalRegression.Counts.newBuilder((org.tensorflow.metadata.v0.OneDimensionalRegression.Counts) labelType_)
.mergeFrom(value).buildPartial();
} else {
labelType_ = value;
}
onChanged();
} else {
if (labelTypeCase_ == 5) {
countsBuilder_.mergeFrom(value);
} else {
countsBuilder_.setMessage(value);
}
}
labelTypeCase_ = 5;
return this;
}
/**
*
* When set the label corresponds to counts from a poisson distribution.
* Eg: Number of googlers contributing to memegen each year.
*
*
* .tensorflow.metadata.v0.OneDimensionalRegression.Counts counts = 5;
*/
public Builder clearCounts() {
if (countsBuilder_ == null) {
if (labelTypeCase_ == 5) {
labelTypeCase_ = 0;
labelType_ = null;
onChanged();
}
} else {
if (labelTypeCase_ == 5) {
labelTypeCase_ = 0;
labelType_ = null;
}
countsBuilder_.clear();
}
return this;
}
/**
*
* When set the label corresponds to counts from a poisson distribution.
* Eg: Number of googlers contributing to memegen each year.
*
*
* .tensorflow.metadata.v0.OneDimensionalRegression.Counts counts = 5;
*/
public org.tensorflow.metadata.v0.OneDimensionalRegression.Counts.Builder getCountsBuilder() {
return getCountsFieldBuilder().getBuilder();
}
/**
*
* When set the label corresponds to counts from a poisson distribution.
* Eg: Number of googlers contributing to memegen each year.
*
*
* .tensorflow.metadata.v0.OneDimensionalRegression.Counts counts = 5;
*/
@java.lang.Override
public org.tensorflow.metadata.v0.OneDimensionalRegression.CountsOrBuilder getCountsOrBuilder() {
if ((labelTypeCase_ == 5) && (countsBuilder_ != null)) {
return countsBuilder_.getMessageOrBuilder();
} else {
if (labelTypeCase_ == 5) {
return (org.tensorflow.metadata.v0.OneDimensionalRegression.Counts) labelType_;
}
return org.tensorflow.metadata.v0.OneDimensionalRegression.Counts.getDefaultInstance();
}
}
/**
*
* When set the label corresponds to counts from a poisson distribution.
* Eg: Number of googlers contributing to memegen each year.
*
*
* .tensorflow.metadata.v0.OneDimensionalRegression.Counts counts = 5;
*/
private com.google.protobuf.SingleFieldBuilderV3<
org.tensorflow.metadata.v0.OneDimensionalRegression.Counts, org.tensorflow.metadata.v0.OneDimensionalRegression.Counts.Builder, org.tensorflow.metadata.v0.OneDimensionalRegression.CountsOrBuilder>
getCountsFieldBuilder() {
if (countsBuilder_ == null) {
if (!(labelTypeCase_ == 5)) {
labelType_ = org.tensorflow.metadata.v0.OneDimensionalRegression.Counts.getDefaultInstance();
}
countsBuilder_ = new com.google.protobuf.SingleFieldBuilderV3<
org.tensorflow.metadata.v0.OneDimensionalRegression.Counts, org.tensorflow.metadata.v0.OneDimensionalRegression.Counts.Builder, org.tensorflow.metadata.v0.OneDimensionalRegression.CountsOrBuilder>(
(org.tensorflow.metadata.v0.OneDimensionalRegression.Counts) labelType_,
getParentForChildren(),
isClean());
labelType_ = null;
}
labelTypeCase_ = 5;
onChanged();
return countsBuilder_;
}
@java.lang.Override
public final Builder setUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFields(unknownFields);
}
@java.lang.Override
public final Builder mergeUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
}
// @@protoc_insertion_point(builder_scope:tensorflow.metadata.v0.OneDimensionalRegression)
}
// @@protoc_insertion_point(class_scope:tensorflow.metadata.v0.OneDimensionalRegression)
private static final org.tensorflow.metadata.v0.OneDimensionalRegression DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new org.tensorflow.metadata.v0.OneDimensionalRegression();
}
public static org.tensorflow.metadata.v0.OneDimensionalRegression getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser
PARSER = new com.google.protobuf.AbstractParser() {
@java.lang.Override
public OneDimensionalRegression parsePartialFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
Builder builder = newBuilder();
try {
builder.mergeFrom(input, extensionRegistry);
} catch (com.google.protobuf.InvalidProtocolBufferException e) {
throw e.setUnfinishedMessage(builder.buildPartial());
} catch (com.google.protobuf.UninitializedMessageException e) {
throw e.asInvalidProtocolBufferException().setUnfinishedMessage(builder.buildPartial());
} catch (java.io.IOException e) {
throw new com.google.protobuf.InvalidProtocolBufferException(e)
.setUnfinishedMessage(builder.buildPartial());
}
return builder.buildPartial();
}
};
public static com.google.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public com.google.protobuf.Parser getParserForType() {
return PARSER;
}
@java.lang.Override
public org.tensorflow.metadata.v0.OneDimensionalRegression getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
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