org.tensorflow.metadata.v0.FeaturePresence Maven / Gradle / Ivy
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// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: tensorflow_metadata/proto/v0/schema.proto
// Protobuf Java Version: 3.25.4
package org.tensorflow.metadata.v0;
/**
*
* Describes constraints on the presence of the feature in the data.
*
*
* Protobuf type {@code tensorflow.metadata.v0.FeaturePresence}
*/
public final class FeaturePresence extends
com.google.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:tensorflow.metadata.v0.FeaturePresence)
FeaturePresenceOrBuilder {
private static final long serialVersionUID = 0L;
// Use FeaturePresence.newBuilder() to construct.
private FeaturePresence(com.google.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private FeaturePresence() {
}
@java.lang.Override
@SuppressWarnings({"unused"})
protected java.lang.Object newInstance(
UnusedPrivateParameter unused) {
return new FeaturePresence();
}
public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.tensorflow.metadata.v0.SchemaOuterClass.internal_static_tensorflow_metadata_v0_FeaturePresence_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
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org.tensorflow.metadata.v0.FeaturePresence.class, org.tensorflow.metadata.v0.FeaturePresence.Builder.class);
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/**
*
* Minimum fraction of examples that have this feature.
*
*
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/**
*
* Minimum fraction of examples that have this feature.
*
*
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*/
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public static final int MIN_COUNT_FIELD_NUMBER = 2;
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/**
*
* Minimum number of examples that have this feature.
*
*
* optional int64 min_count = 2;
* @return Whether the minCount field is set.
*/
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/**
*
* Minimum number of examples that have this feature.
*
*
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*/
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public static org.tensorflow.metadata.v0.FeaturePresence parseFrom(
java.nio.ByteBuffer data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
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public static org.tensorflow.metadata.v0.FeaturePresence parseFrom(
java.nio.ByteBuffer 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.FeaturePresence parseFrom(
com.google.protobuf.ByteString data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.metadata.v0.FeaturePresence parseFrom(
com.google.protobuf.ByteString data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.tensorflow.metadata.v0.FeaturePresence parseFrom(byte[] data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
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public static org.tensorflow.metadata.v0.FeaturePresence parseFrom(
byte[] 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.FeaturePresence parseFrom(java.io.InputStream input)
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return com.google.protobuf.GeneratedMessageV3
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}
public static org.tensorflow.metadata.v0.FeaturePresence parseFrom(
java.io.InputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input, extensionRegistry);
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public static org.tensorflow.metadata.v0.FeaturePresence parseDelimitedFrom(java.io.InputStream input)
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public static org.tensorflow.metadata.v0.FeaturePresence parseDelimitedFrom(
java.io.InputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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public static org.tensorflow.metadata.v0.FeaturePresence parseFrom(
com.google.protobuf.CodedInputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
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public static org.tensorflow.metadata.v0.FeaturePresence parseFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
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@java.lang.Override
public Builder newBuilderForType() { return newBuilder(); }
public static Builder newBuilder() {
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public static Builder newBuilder(org.tensorflow.metadata.v0.FeaturePresence prototype) {
return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
}
@java.lang.Override
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return this == DEFAULT_INSTANCE
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}
@java.lang.Override
protected Builder newBuilderForType(
com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
Builder builder = new Builder(parent);
return builder;
}
/**
*
* Describes constraints on the presence of the feature in the data.
*
*
* Protobuf type {@code tensorflow.metadata.v0.FeaturePresence}
*/
public static final class Builder extends
com.google.protobuf.GeneratedMessageV3.Builder implements
// @@protoc_insertion_point(builder_implements:tensorflow.metadata.v0.FeaturePresence)
org.tensorflow.metadata.v0.FeaturePresenceOrBuilder {
public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.tensorflow.metadata.v0.SchemaOuterClass.internal_static_tensorflow_metadata_v0_FeaturePresence_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return org.tensorflow.metadata.v0.SchemaOuterClass.internal_static_tensorflow_metadata_v0_FeaturePresence_fieldAccessorTable
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org.tensorflow.metadata.v0.FeaturePresence.class, org.tensorflow.metadata.v0.FeaturePresence.Builder.class);
}
// Construct using org.tensorflow.metadata.v0.FeaturePresence.newBuilder()
private Builder() {
}
private Builder(
com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
super(parent);
}
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@java.lang.Override
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getDescriptorForType() {
return org.tensorflow.metadata.v0.SchemaOuterClass.internal_static_tensorflow_metadata_v0_FeaturePresence_descriptor;
}
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public org.tensorflow.metadata.v0.FeaturePresence getDefaultInstanceForType() {
return org.tensorflow.metadata.v0.FeaturePresence.getDefaultInstance();
}
@java.lang.Override
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org.tensorflow.metadata.v0.FeaturePresence result = buildPartial();
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throw newUninitializedMessageException(result);
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return result;
}
@java.lang.Override
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onBuilt();
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public Builder mergeFrom(org.tensorflow.metadata.v0.FeaturePresence other) {
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private int bitField0_;
private double minFraction_ ;
/**
*
* Minimum fraction of examples that have this feature.
*
*
* optional double min_fraction = 1;
* @return Whether the minFraction field is set.
*/
@java.lang.Override
public boolean hasMinFraction() {
return ((bitField0_ & 0x00000001) != 0);
}
/**
*
* Minimum fraction of examples that have this feature.
*
*
* optional double min_fraction = 1;
* @return The minFraction.
*/
@java.lang.Override
public double getMinFraction() {
return minFraction_;
}
/**
*
* Minimum fraction of examples that have this feature.
*
*
* optional double min_fraction = 1;
* @param value The minFraction to set.
* @return This builder for chaining.
*/
public Builder setMinFraction(double value) {
minFraction_ = value;
bitField0_ |= 0x00000001;
onChanged();
return this;
}
/**
*
* Minimum fraction of examples that have this feature.
*
*
* optional double min_fraction = 1;
* @return This builder for chaining.
*/
public Builder clearMinFraction() {
bitField0_ = (bitField0_ & ~0x00000001);
minFraction_ = 0D;
onChanged();
return this;
}
private long minCount_ ;
/**
*
* Minimum number of examples that have this feature.
*
*
* optional int64 min_count = 2;
* @return Whether the minCount field is set.
*/
@java.lang.Override
public boolean hasMinCount() {
return ((bitField0_ & 0x00000002) != 0);
}
/**
*
* Minimum number of examples that have this feature.
*
*
* optional int64 min_count = 2;
* @return The minCount.
*/
@java.lang.Override
public long getMinCount() {
return minCount_;
}
/**
*
* Minimum number of examples that have this feature.
*
*
* optional int64 min_count = 2;
* @param value The minCount to set.
* @return This builder for chaining.
*/
public Builder setMinCount(long value) {
minCount_ = value;
bitField0_ |= 0x00000002;
onChanged();
return this;
}
/**
*
* Minimum number of examples that have this feature.
*
*
* optional int64 min_count = 2;
* @return This builder for chaining.
*/
public Builder clearMinCount() {
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onChanged();
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// @@protoc_insertion_point(builder_scope:tensorflow.metadata.v0.FeaturePresence)
}
// @@protoc_insertion_point(class_scope:tensorflow.metadata.v0.FeaturePresence)
private static final org.tensorflow.metadata.v0.FeaturePresence DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new org.tensorflow.metadata.v0.FeaturePresence();
}
public static org.tensorflow.metadata.v0.FeaturePresence getDefaultInstance() {
return DEFAULT_INSTANCE;
}
@java.lang.Deprecated public static final com.google.protobuf.Parser
PARSER = new com.google.protobuf.AbstractParser() {
@java.lang.Override
public FeaturePresence parsePartialFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
Builder builder = newBuilder();
try {
builder.mergeFrom(input, extensionRegistry);
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throw e.setUnfinishedMessage(builder.buildPartial());
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throw new com.google.protobuf.InvalidProtocolBufferException(e)
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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.FeaturePresence getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
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