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// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: tensorflow_metadata/proto/v0/metric.proto
// Protobuf Java Version: 3.25.4
package org.tensorflow.metadata.v0;
/**
*
* A custom metric.
* Prefer using or adding an explicit metric message
* and only use this generic message as a last resort.
* NEXT_TAG: 4
*
*
* Protobuf type {@code tensorflow.metadata.v0.CustomMetric}
*/
public final class CustomMetric extends
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CustomMetricOrBuilder {
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/**
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/**
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*
*
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*
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// @@protoc_insertion_point(builder_scope:tensorflow.metadata.v0.CustomMetric.RegistrySpec)
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// @@protoc_insertion_point(class_scope:tensorflow.metadata.v0.CustomMetric.RegistrySpec)
private static final org.tensorflow.metadata.v0.CustomMetric.RegistrySpec DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new org.tensorflow.metadata.v0.CustomMetric.RegistrySpec();
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public static org.tensorflow.metadata.v0.CustomMetric.RegistrySpec getDefaultInstance() {
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}
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/**
*
* The display name of a metric computed by the model. The name should match
* ^[a-zA-Z0-9\s]{1,25}$ and must be unique across all performance metrics.
* Trailing and leading spaces will be truncated before matching.
*
*
* string name = 1;
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*/
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java.lang.String s = bs.toStringUtf8();
name_ = s;
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/**
*
* The display name of a metric computed by the model. The name should match
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/**
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*
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/**
*
* Specification of the metric in the binary’s metric registry.
*
*
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/**
*
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*
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*/
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/**
*
* Specification of the metric in the binary’s metric registry.
*
*
* .tensorflow.metadata.v0.CustomMetric.RegistrySpec registry_spec = 3;
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if (!(obj instanceof org.tensorflow.metadata.v0.CustomMetric)) {
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org.tensorflow.metadata.v0.CustomMetric other = (org.tensorflow.metadata.v0.CustomMetric) obj;
if (!getName()
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int hash = 41;
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com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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return PARSER.parseFrom(data, extensionRegistry);
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public static org.tensorflow.metadata.v0.CustomMetric parseFrom(
com.google.protobuf.ByteString data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
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public static org.tensorflow.metadata.v0.CustomMetric parseFrom(
com.google.protobuf.ByteString data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
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public static org.tensorflow.metadata.v0.CustomMetric parseFrom(byte[] data)
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return PARSER.parseFrom(data);
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byte[] data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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return PARSER.parseFrom(data, extensionRegistry);
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public static org.tensorflow.metadata.v0.CustomMetric parseFrom(
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public static org.tensorflow.metadata.v0.CustomMetric parseFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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return com.google.protobuf.GeneratedMessageV3
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@java.lang.Override
public Builder newBuilderForType() { return newBuilder(); }
public static Builder newBuilder() {
return DEFAULT_INSTANCE.toBuilder();
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public static Builder newBuilder(org.tensorflow.metadata.v0.CustomMetric prototype) {
return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
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@java.lang.Override
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@java.lang.Override
protected Builder newBuilderForType(
com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
Builder builder = new Builder(parent);
return builder;
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/**
*
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* and only use this generic message as a last resort.
* NEXT_TAG: 4
*
*
* Protobuf type {@code tensorflow.metadata.v0.CustomMetric}
*/
public static final class Builder extends
com.google.protobuf.GeneratedMessageV3.Builder implements
// @@protoc_insertion_point(builder_implements:tensorflow.metadata.v0.CustomMetric)
org.tensorflow.metadata.v0.CustomMetricOrBuilder {
public static final com.google.protobuf.Descriptors.Descriptor
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org.tensorflow.metadata.v0.CustomMetric result = buildPartial();
if (!result.isInitialized()) {
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org.tensorflow.metadata.v0.CustomMetric result = new org.tensorflow.metadata.v0.CustomMetric(this);
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onBuilt();
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@java.lang.Override
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com.google.protobuf.Descriptors.FieldDescriptor field,
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@java.lang.Override
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com.google.protobuf.Descriptors.FieldDescriptor field) {
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com.google.protobuf.Descriptors.OneofDescriptor oneof) {
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com.google.protobuf.Descriptors.FieldDescriptor field,
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com.google.protobuf.Descriptors.FieldDescriptor field,
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public Builder mergeFrom(org.tensorflow.metadata.v0.CustomMetric other) {
if (other == org.tensorflow.metadata.v0.CustomMetric.getDefaultInstance()) return this;
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this.mergeUnknownFields(other.getUnknownFields());
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@java.lang.Override
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@java.lang.Override
public Builder mergeFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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private int bitField0_;
private java.lang.Object name_ = "";
/**
*
* The display name of a metric computed by the model. The name should match
* ^[a-zA-Z0-9\s]{1,25}$ and must be unique across all performance metrics.
* Trailing and leading spaces will be truncated before matching.
*
*
* string name = 1;
* @return The name.
*/
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java.lang.Object ref = name_;
if (!(ref instanceof java.lang.String)) {
com.google.protobuf.ByteString bs =
(com.google.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
name_ = s;
return s;
} else {
return (java.lang.String) ref;
}
}
/**
*
* The display name of a metric computed by the model. The name should match
* ^[a-zA-Z0-9\s]{1,25}$ and must be unique across all performance metrics.
* Trailing and leading spaces will be truncated before matching.
*
*
* string name = 1;
* @return The bytes for name.
*/
public com.google.protobuf.ByteString
getNameBytes() {
java.lang.Object ref = name_;
if (ref instanceof String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8(
(java.lang.String) ref);
name_ = b;
return b;
} else {
return (com.google.protobuf.ByteString) ref;
}
}
/**
*
* The display name of a metric computed by the model. The name should match
* ^[a-zA-Z0-9\s]{1,25}$ and must be unique across all performance metrics.
* Trailing and leading spaces will be truncated before matching.
*
*
* string name = 1;
* @param value The name to set.
* @return This builder for chaining.
*/
public Builder setName(
java.lang.String value) {
if (value == null) { throw new NullPointerException(); }
name_ = value;
bitField0_ |= 0x00000001;
onChanged();
return this;
}
/**
*
* The display name of a metric computed by the model. The name should match
* ^[a-zA-Z0-9\s]{1,25}$ and must be unique across all performance metrics.
* Trailing and leading spaces will be truncated before matching.
*
*
* string name = 1;
* @return This builder for chaining.
*/
public Builder clearName() {
name_ = getDefaultInstance().getName();
bitField0_ = (bitField0_ & ~0x00000001);
onChanged();
return this;
}
/**
*
* The display name of a metric computed by the model. The name should match
* ^[a-zA-Z0-9\s]{1,25}$ and must be unique across all performance metrics.
* Trailing and leading spaces will be truncated before matching.
*
*
* string name = 1;
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* @return This builder for chaining.
*/
public Builder setNameBytes(
com.google.protobuf.ByteString value) {
if (value == null) { throw new NullPointerException(); }
checkByteStringIsUtf8(value);
name_ = value;
bitField0_ |= 0x00000001;
onChanged();
return this;
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private boolean isMaximized_ ;
/**
*
* True if the metric is maximized: false if it is minimized.
* Must be specified if the CustomMetric is used as an objective.
*
*
* bool is_maximized = 2;
* @return The isMaximized.
*/
@java.lang.Override
public boolean getIsMaximized() {
return isMaximized_;
}
/**
*
* True if the metric is maximized: false if it is minimized.
* Must be specified if the CustomMetric is used as an objective.
*
*
* bool is_maximized = 2;
* @param value The isMaximized to set.
* @return This builder for chaining.
*/
public Builder setIsMaximized(boolean value) {
isMaximized_ = value;
bitField0_ |= 0x00000002;
onChanged();
return this;
}
/**
*
* True if the metric is maximized: false if it is minimized.
* Must be specified if the CustomMetric is used as an objective.
*
*
* bool is_maximized = 2;
* @return This builder for chaining.
*/
public Builder clearIsMaximized() {
bitField0_ = (bitField0_ & ~0x00000002);
isMaximized_ = false;
onChanged();
return this;
}
private org.tensorflow.metadata.v0.CustomMetric.RegistrySpec registrySpec_;
private com.google.protobuf.SingleFieldBuilderV3<
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/**
*
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*
*
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*/
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/**
*
* Specification of the metric in the binary’s metric registry.
*
*
* .tensorflow.metadata.v0.CustomMetric.RegistrySpec registry_spec = 3;
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*/
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if (registrySpecBuilder_ == null) {
return registrySpec_ == null ? org.tensorflow.metadata.v0.CustomMetric.RegistrySpec.getDefaultInstance() : registrySpec_;
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return registrySpecBuilder_.getMessage();
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}
/**
*
* Specification of the metric in the binary’s metric registry.
*
*
* .tensorflow.metadata.v0.CustomMetric.RegistrySpec registry_spec = 3;
*/
public Builder setRegistrySpec(org.tensorflow.metadata.v0.CustomMetric.RegistrySpec value) {
if (registrySpecBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
registrySpec_ = value;
} else {
registrySpecBuilder_.setMessage(value);
}
bitField0_ |= 0x00000004;
onChanged();
return this;
}
/**
*
* Specification of the metric in the binary’s metric registry.
*
*
* .tensorflow.metadata.v0.CustomMetric.RegistrySpec registry_spec = 3;
*/
public Builder setRegistrySpec(
org.tensorflow.metadata.v0.CustomMetric.RegistrySpec.Builder builderForValue) {
if (registrySpecBuilder_ == null) {
registrySpec_ = builderForValue.build();
} else {
registrySpecBuilder_.setMessage(builderForValue.build());
}
bitField0_ |= 0x00000004;
onChanged();
return this;
}
/**
*
* Specification of the metric in the binary’s metric registry.
*
*
* .tensorflow.metadata.v0.CustomMetric.RegistrySpec registry_spec = 3;
*/
public Builder mergeRegistrySpec(org.tensorflow.metadata.v0.CustomMetric.RegistrySpec value) {
if (registrySpecBuilder_ == null) {
if (((bitField0_ & 0x00000004) != 0) &&
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registrySpecBuilder_.mergeFrom(value);
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if (registrySpec_ != null) {
bitField0_ |= 0x00000004;
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/**
*
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*
*
* .tensorflow.metadata.v0.CustomMetric.RegistrySpec registry_spec = 3;
*/
public Builder clearRegistrySpec() {
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registrySpec_ = null;
if (registrySpecBuilder_ != null) {
registrySpecBuilder_.dispose();
registrySpecBuilder_ = null;
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onChanged();
return this;
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/**
*
* Specification of the metric in the binary’s metric registry.
*
*
* .tensorflow.metadata.v0.CustomMetric.RegistrySpec registry_spec = 3;
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bitField0_ |= 0x00000004;
onChanged();
return getRegistrySpecFieldBuilder().getBuilder();
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/**
*
* Specification of the metric in the binary’s metric registry.
*
*
* .tensorflow.metadata.v0.CustomMetric.RegistrySpec registry_spec = 3;
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if (registrySpecBuilder_ != null) {
return registrySpecBuilder_.getMessageOrBuilder();
} else {
return registrySpec_ == null ?
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/**
*
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*
*
* .tensorflow.metadata.v0.CustomMetric.RegistrySpec registry_spec = 3;
*/
private com.google.protobuf.SingleFieldBuilderV3<
org.tensorflow.metadata.v0.CustomMetric.RegistrySpec, org.tensorflow.metadata.v0.CustomMetric.RegistrySpec.Builder, org.tensorflow.metadata.v0.CustomMetric.RegistrySpecOrBuilder>
getRegistrySpecFieldBuilder() {
if (registrySpecBuilder_ == null) {
registrySpecBuilder_ = new com.google.protobuf.SingleFieldBuilderV3<
org.tensorflow.metadata.v0.CustomMetric.RegistrySpec, org.tensorflow.metadata.v0.CustomMetric.RegistrySpec.Builder, org.tensorflow.metadata.v0.CustomMetric.RegistrySpecOrBuilder>(
getRegistrySpec(),
getParentForChildren(),
isClean());
registrySpec_ = null;
}
return registrySpecBuilder_;
}
@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.CustomMetric)
}
// @@protoc_insertion_point(class_scope:tensorflow.metadata.v0.CustomMetric)
private static final org.tensorflow.metadata.v0.CustomMetric DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new org.tensorflow.metadata.v0.CustomMetric();
}
public static org.tensorflow.metadata.v0.CustomMetric getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser
PARSER = new com.google.protobuf.AbstractParser() {
@java.lang.Override
public CustomMetric 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.CustomMetric getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
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