org.tensorflow.metadata.v0.MultiLabelClassification Maven / Gradle / Ivy
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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;
/**
*
* Configuration for a multi-label classification task.
* In this problem type there are n_classes unique possible label values
* overall. There can be from zero up to n_classes unique labels per example.
* The output, which is of type real number, is class probabilities associated
* with each class. It will be of n_classes dimension for each example, if
* n_classes is specified. Otherwise, the dimension will be set to the number
* of unique class labels that are dynamically inferred from the data based on
* dynamic_class_spec.
*
*
* Protobuf type {@code tensorflow.metadata.v0.MultiLabelClassification}
*/
public final class MultiLabelClassification extends
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// @@protoc_insertion_point(message_implements:tensorflow.metadata.v0.MultiLabelClassification)
MultiLabelClassificationOrBuilder {
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// Use MultiLabelClassification.newBuilder() to construct.
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*
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/**
*
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*
*
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/**
*
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*
*
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*/
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/**
*
* The maximal number of label classes that should be inferred dynamically
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*
*
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*
* The maximal number of label classes that should be inferred dynamically
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*
*
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return PARSER.parseFrom(data, extensionRegistry);
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public static org.tensorflow.metadata.v0.MultiLabelClassification parseFrom(
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/**
*
* Configuration for a multi-label classification task.
* In this problem type there are n_classes unique possible label values
* overall. There can be from zero up to n_classes unique labels per example.
* The output, which is of type real number, is class probabilities associated
* with each class. It will be of n_classes dimension for each example, if
* n_classes is specified. Otherwise, the dimension will be set to the number
* of unique class labels that are dynamically inferred from the data based on
* dynamic_class_spec.
*
*
* Protobuf type {@code tensorflow.metadata.v0.MultiLabelClassification}
*/
public static final class Builder extends
com.google.protobuf.GeneratedMessageV3.Builder implements
// @@protoc_insertion_point(builder_implements:tensorflow.metadata.v0.MultiLabelClassification)
org.tensorflow.metadata.v0.MultiLabelClassificationOrBuilder {
public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.tensorflow.metadata.v0.ProblemStatementOuterClass.internal_static_tensorflow_metadata_v0_MultiLabelClassification_descriptor;
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onChanged();
return this;
}
private int classSpecCase_ = 0;
private java.lang.Object classSpec_;
public ClassSpecCase
getClassSpecCase() {
return ClassSpecCase.forNumber(
classSpecCase_);
}
public Builder clearClassSpec() {
classSpecCase_ = 0;
classSpec_ = 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 = 5;
* @return Whether the labelPath field is set.
*/
@java.lang.Override
public boolean hasLabelPath() {
return labelIdCase_ == 5;
}
/**
*
* A path can be used instead of a flat string if the label is nested.
*
*
* .tensorflow.metadata.v0.Path label_path = 5;
* @return The labelPath.
*/
@java.lang.Override
public org.tensorflow.metadata.v0.Path getLabelPath() {
if (labelPathBuilder_ == null) {
if (labelIdCase_ == 5) {
return (org.tensorflow.metadata.v0.Path) labelId_;
}
return org.tensorflow.metadata.v0.Path.getDefaultInstance();
} else {
if (labelIdCase_ == 5) {
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 = 5;
*/
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_ = 5;
return this;
}
/**
*
* A path can be used instead of a flat string if the label is nested.
*
*
* .tensorflow.metadata.v0.Path label_path = 5;
*/
public Builder setLabelPath(
org.tensorflow.metadata.v0.Path.Builder builderForValue) {
if (labelPathBuilder_ == null) {
labelId_ = builderForValue.build();
onChanged();
} else {
labelPathBuilder_.setMessage(builderForValue.build());
}
labelIdCase_ = 5;
return this;
}
/**
*
* A path can be used instead of a flat string if the label is nested.
*
*
* .tensorflow.metadata.v0.Path label_path = 5;
*/
public Builder mergeLabelPath(org.tensorflow.metadata.v0.Path value) {
if (labelPathBuilder_ == null) {
if (labelIdCase_ == 5 &&
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_ == 5) {
labelPathBuilder_.mergeFrom(value);
} else {
labelPathBuilder_.setMessage(value);
}
}
labelIdCase_ = 5;
return this;
}
/**
*
* A path can be used instead of a flat string if the label is nested.
*
*
* .tensorflow.metadata.v0.Path label_path = 5;
*/
public Builder clearLabelPath() {
if (labelPathBuilder_ == null) {
if (labelIdCase_ == 5) {
labelIdCase_ = 0;
labelId_ = null;
onChanged();
}
} else {
if (labelIdCase_ == 5) {
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 = 5;
*/
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 = 5;
*/
@java.lang.Override
public org.tensorflow.metadata.v0.PathOrBuilder getLabelPathOrBuilder() {
if ((labelIdCase_ == 5) && (labelPathBuilder_ != null)) {
return labelPathBuilder_.getMessageOrBuilder();
} else {
if (labelIdCase_ == 5) {
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 = 5;
*/
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_ == 5)) {
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_ = 5;
onChanged();
return labelPathBuilder_;
}
private java.lang.Object exampleWeight_ = "";
/**
*
* The weight column.
*
*
* string example_weight = 2;
* @return The exampleWeight.
*/
public java.lang.String getExampleWeight() {
java.lang.Object ref = exampleWeight_;
if (!(ref instanceof java.lang.String)) {
com.google.protobuf.ByteString bs =
(com.google.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
exampleWeight_ = s;
return s;
} else {
return (java.lang.String) ref;
}
}
/**
*
* The weight column.
*
*
* string example_weight = 2;
* @return The bytes for exampleWeight.
*/
public com.google.protobuf.ByteString
getExampleWeightBytes() {
java.lang.Object ref = exampleWeight_;
if (ref instanceof String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8(
(java.lang.String) ref);
exampleWeight_ = b;
return b;
} else {
return (com.google.protobuf.ByteString) ref;
}
}
/**
*
* The weight column.
*
*
* string example_weight = 2;
* @param value The exampleWeight to set.
* @return This builder for chaining.
*/
public Builder setExampleWeight(
java.lang.String value) {
if (value == null) { throw new NullPointerException(); }
exampleWeight_ = value;
bitField0_ |= 0x00000004;
onChanged();
return this;
}
/**
*
* The weight column.
*
*
* string example_weight = 2;
* @return This builder for chaining.
*/
public Builder clearExampleWeight() {
exampleWeight_ = getDefaultInstance().getExampleWeight();
bitField0_ = (bitField0_ & ~0x00000004);
onChanged();
return this;
}
/**
*
* The weight column.
*
*
* string example_weight = 2;
* @param value The bytes for exampleWeight to set.
* @return This builder for chaining.
*/
public Builder setExampleWeightBytes(
com.google.protobuf.ByteString value) {
if (value == null) { throw new NullPointerException(); }
checkByteStringIsUtf8(value);
exampleWeight_ = value;
bitField0_ |= 0x00000004;
onChanged();
return this;
}
/**
*
* The exact number of unique class labels.
*
*
* uint64 n_classes = 3;
* @return Whether the nClasses field is set.
*/
public boolean hasNClasses() {
return classSpecCase_ == 3;
}
/**
*
* The exact number of unique class labels.
*
*
* uint64 n_classes = 3;
* @return The nClasses.
*/
public long getNClasses() {
if (classSpecCase_ == 3) {
return (java.lang.Long) classSpec_;
}
return 0L;
}
/**
*
* The exact number of unique class labels.
*
*
* uint64 n_classes = 3;
* @param value The nClasses to set.
* @return This builder for chaining.
*/
public Builder setNClasses(long value) {
classSpecCase_ = 3;
classSpec_ = value;
onChanged();
return this;
}
/**
*
* The exact number of unique class labels.
*
*
* uint64 n_classes = 3;
* @return This builder for chaining.
*/
public Builder clearNClasses() {
if (classSpecCase_ == 3) {
classSpecCase_ = 0;
classSpec_ = null;
onChanged();
}
return this;
}
private com.google.protobuf.SingleFieldBuilderV3<
org.tensorflow.metadata.v0.DynamicClassSpec, org.tensorflow.metadata.v0.DynamicClassSpec.Builder, org.tensorflow.metadata.v0.DynamicClassSpecOrBuilder> dynamicClassSpecBuilder_;
/**
*
* The maximal number of label classes that should be inferred dynamically
* from the data.
*
*
* .tensorflow.metadata.v0.DynamicClassSpec dynamic_class_spec = 4;
* @return Whether the dynamicClassSpec field is set.
*/
@java.lang.Override
public boolean hasDynamicClassSpec() {
return classSpecCase_ == 4;
}
/**
*
* The maximal number of label classes that should be inferred dynamically
* from the data.
*
*
* .tensorflow.metadata.v0.DynamicClassSpec dynamic_class_spec = 4;
* @return The dynamicClassSpec.
*/
@java.lang.Override
public org.tensorflow.metadata.v0.DynamicClassSpec getDynamicClassSpec() {
if (dynamicClassSpecBuilder_ == null) {
if (classSpecCase_ == 4) {
return (org.tensorflow.metadata.v0.DynamicClassSpec) classSpec_;
}
return org.tensorflow.metadata.v0.DynamicClassSpec.getDefaultInstance();
} else {
if (classSpecCase_ == 4) {
return dynamicClassSpecBuilder_.getMessage();
}
return org.tensorflow.metadata.v0.DynamicClassSpec.getDefaultInstance();
}
}
/**
*
* The maximal number of label classes that should be inferred dynamically
* from the data.
*
*
* .tensorflow.metadata.v0.DynamicClassSpec dynamic_class_spec = 4;
*/
public Builder setDynamicClassSpec(org.tensorflow.metadata.v0.DynamicClassSpec value) {
if (dynamicClassSpecBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
classSpec_ = value;
onChanged();
} else {
dynamicClassSpecBuilder_.setMessage(value);
}
classSpecCase_ = 4;
return this;
}
/**
*
* The maximal number of label classes that should be inferred dynamically
* from the data.
*
*
* .tensorflow.metadata.v0.DynamicClassSpec dynamic_class_spec = 4;
*/
public Builder setDynamicClassSpec(
org.tensorflow.metadata.v0.DynamicClassSpec.Builder builderForValue) {
if (dynamicClassSpecBuilder_ == null) {
classSpec_ = builderForValue.build();
onChanged();
} else {
dynamicClassSpecBuilder_.setMessage(builderForValue.build());
}
classSpecCase_ = 4;
return this;
}
/**
*
* The maximal number of label classes that should be inferred dynamically
* from the data.
*
*
* .tensorflow.metadata.v0.DynamicClassSpec dynamic_class_spec = 4;
*/
public Builder mergeDynamicClassSpec(org.tensorflow.metadata.v0.DynamicClassSpec value) {
if (dynamicClassSpecBuilder_ == null) {
if (classSpecCase_ == 4 &&
classSpec_ != org.tensorflow.metadata.v0.DynamicClassSpec.getDefaultInstance()) {
classSpec_ = org.tensorflow.metadata.v0.DynamicClassSpec.newBuilder((org.tensorflow.metadata.v0.DynamicClassSpec) classSpec_)
.mergeFrom(value).buildPartial();
} else {
classSpec_ = value;
}
onChanged();
} else {
if (classSpecCase_ == 4) {
dynamicClassSpecBuilder_.mergeFrom(value);
} else {
dynamicClassSpecBuilder_.setMessage(value);
}
}
classSpecCase_ = 4;
return this;
}
/**
*
* The maximal number of label classes that should be inferred dynamically
* from the data.
*
*
* .tensorflow.metadata.v0.DynamicClassSpec dynamic_class_spec = 4;
*/
public Builder clearDynamicClassSpec() {
if (dynamicClassSpecBuilder_ == null) {
if (classSpecCase_ == 4) {
classSpecCase_ = 0;
classSpec_ = null;
onChanged();
}
} else {
if (classSpecCase_ == 4) {
classSpecCase_ = 0;
classSpec_ = null;
}
dynamicClassSpecBuilder_.clear();
}
return this;
}
/**
*
* The maximal number of label classes that should be inferred dynamically
* from the data.
*
*
* .tensorflow.metadata.v0.DynamicClassSpec dynamic_class_spec = 4;
*/
public org.tensorflow.metadata.v0.DynamicClassSpec.Builder getDynamicClassSpecBuilder() {
return getDynamicClassSpecFieldBuilder().getBuilder();
}
/**
*
* The maximal number of label classes that should be inferred dynamically
* from the data.
*
*
* .tensorflow.metadata.v0.DynamicClassSpec dynamic_class_spec = 4;
*/
@java.lang.Override
public org.tensorflow.metadata.v0.DynamicClassSpecOrBuilder getDynamicClassSpecOrBuilder() {
if ((classSpecCase_ == 4) && (dynamicClassSpecBuilder_ != null)) {
return dynamicClassSpecBuilder_.getMessageOrBuilder();
} else {
if (classSpecCase_ == 4) {
return (org.tensorflow.metadata.v0.DynamicClassSpec) classSpec_;
}
return org.tensorflow.metadata.v0.DynamicClassSpec.getDefaultInstance();
}
}
/**
*
* The maximal number of label classes that should be inferred dynamically
* from the data.
*
*
* .tensorflow.metadata.v0.DynamicClassSpec dynamic_class_spec = 4;
*/
private com.google.protobuf.SingleFieldBuilderV3<
org.tensorflow.metadata.v0.DynamicClassSpec, org.tensorflow.metadata.v0.DynamicClassSpec.Builder, org.tensorflow.metadata.v0.DynamicClassSpecOrBuilder>
getDynamicClassSpecFieldBuilder() {
if (dynamicClassSpecBuilder_ == null) {
if (!(classSpecCase_ == 4)) {
classSpec_ = org.tensorflow.metadata.v0.DynamicClassSpec.getDefaultInstance();
}
dynamicClassSpecBuilder_ = new com.google.protobuf.SingleFieldBuilderV3<
org.tensorflow.metadata.v0.DynamicClassSpec, org.tensorflow.metadata.v0.DynamicClassSpec.Builder, org.tensorflow.metadata.v0.DynamicClassSpecOrBuilder>(
(org.tensorflow.metadata.v0.DynamicClassSpec) classSpec_,
getParentForChildren(),
isClean());
classSpec_ = null;
}
classSpecCase_ = 4;
onChanged();
return dynamicClassSpecBuilder_;
}
@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.MultiLabelClassification)
}
// @@protoc_insertion_point(class_scope:tensorflow.metadata.v0.MultiLabelClassification)
private static final org.tensorflow.metadata.v0.MultiLabelClassification DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new org.tensorflow.metadata.v0.MultiLabelClassification();
}
public static org.tensorflow.metadata.v0.MultiLabelClassification getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser
PARSER = new com.google.protobuf.AbstractParser() {
@java.lang.Override
public MultiLabelClassification 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.MultiLabelClassification getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
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