org.tensorflow.metadata.v0.WeightedCommonStatistics Maven / Gradle / Ivy
// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: tensorflow_metadata/proto/v0/statistics.proto
// Protobuf Java Version: 3.25.4
package org.tensorflow.metadata.v0;
/**
*
* Common weighted statistics for all feature types. Statistics counting number
* of values (i.e., avg_num_values and tot_num_values) include NaNs.
* If the weighted column is missing, then this counts as a weight of 1
* for that example.
*
*
* Protobuf type {@code tensorflow.metadata.v0.WeightedCommonStatistics}
*/
public final class WeightedCommonStatistics extends
com.google.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:tensorflow.metadata.v0.WeightedCommonStatistics)
WeightedCommonStatisticsOrBuilder {
private static final long serialVersionUID = 0L;
// Use WeightedCommonStatistics.newBuilder() to construct.
private WeightedCommonStatistics(com.google.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
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private WeightedCommonStatistics() {
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@java.lang.Override
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public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
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public static final int NUM_NON_MISSING_FIELD_NUMBER = 1;
private double numNonMissing_ = 0D;
/**
*
* Weighted number of examples not missing.
*
*
* double num_non_missing = 1;
* @return The numNonMissing.
*/
@java.lang.Override
public double getNumNonMissing() {
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public static final int NUM_MISSING_FIELD_NUMBER = 2;
private double numMissing_ = 0D;
/**
*
* Weighted number of examples missing.
* Note that if the weighted column is zero, this does not count
* as missing.
*
*
* double num_missing = 2;
* @return The numMissing.
*/
@java.lang.Override
public double getNumMissing() {
return numMissing_;
}
public static final int AVG_NUM_VALUES_FIELD_NUMBER = 3;
private double avgNumValues_ = 0D;
/**
*
* average number of values, weighted by the number of examples.
*
*
* double avg_num_values = 3;
* @return The avgNumValues.
*/
@java.lang.Override
public double getAvgNumValues() {
return avgNumValues_;
}
public static final int TOT_NUM_VALUES_FIELD_NUMBER = 4;
private double totNumValues_ = 0D;
/**
*
* tot_num_values = avg_num_values * num_non_missing.
* This is calculated directly, so should have less numerical error.
*
*
* double tot_num_values = 4;
* @return The totNumValues.
*/
@java.lang.Override
public double getTotNumValues() {
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public static org.tensorflow.metadata.v0.WeightedCommonStatistics parseFrom(
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com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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public static org.tensorflow.metadata.v0.WeightedCommonStatistics parseFrom(
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public static org.tensorflow.metadata.v0.WeightedCommonStatistics parseFrom(
com.google.protobuf.ByteString data,
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public static org.tensorflow.metadata.v0.WeightedCommonStatistics parseFrom(byte[] data)
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public static org.tensorflow.metadata.v0.WeightedCommonStatistics parseFrom(
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com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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public static org.tensorflow.metadata.v0.WeightedCommonStatistics parseFrom(
com.google.protobuf.CodedInputStream input,
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return com.google.protobuf.GeneratedMessageV3
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public static Builder newBuilder(org.tensorflow.metadata.v0.WeightedCommonStatistics prototype) {
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@java.lang.Override
protected Builder newBuilderForType(
com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
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/**
*
* Common weighted statistics for all feature types. Statistics counting number
* of values (i.e., avg_num_values and tot_num_values) include NaNs.
* If the weighted column is missing, then this counts as a weight of 1
* for that example.
*
*
* Protobuf type {@code tensorflow.metadata.v0.WeightedCommonStatistics}
*/
public static final class Builder extends
com.google.protobuf.GeneratedMessageV3.Builder implements
// @@protoc_insertion_point(builder_implements:tensorflow.metadata.v0.WeightedCommonStatistics)
org.tensorflow.metadata.v0.WeightedCommonStatisticsOrBuilder {
public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.tensorflow.metadata.v0.Statistics.internal_static_tensorflow_metadata_v0_WeightedCommonStatistics_descriptor;
}
@java.lang.Override
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internalGetFieldAccessorTable() {
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private Builder(
com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
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numMissing_ = 0D;
avgNumValues_ = 0D;
totNumValues_ = 0D;
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return org.tensorflow.metadata.v0.WeightedCommonStatistics.getDefaultInstance();
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org.tensorflow.metadata.v0.WeightedCommonStatistics result = buildPartial();
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onBuilt();
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this.mergeUnknownFields(other.getUnknownFields());
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private int bitField0_;
private double numNonMissing_ ;
/**
*
* Weighted number of examples not missing.
*
*
* double num_non_missing = 1;
* @return The numNonMissing.
*/
@java.lang.Override
public double getNumNonMissing() {
return numNonMissing_;
}
/**
*
* Weighted number of examples not missing.
*
*
* double num_non_missing = 1;
* @param value The numNonMissing to set.
* @return This builder for chaining.
*/
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bitField0_ |= 0x00000001;
onChanged();
return this;
}
/**
*
* Weighted number of examples not missing.
*
*
* double num_non_missing = 1;
* @return This builder for chaining.
*/
public Builder clearNumNonMissing() {
bitField0_ = (bitField0_ & ~0x00000001);
numNonMissing_ = 0D;
onChanged();
return this;
}
private double numMissing_ ;
/**
*
* Weighted number of examples missing.
* Note that if the weighted column is zero, this does not count
* as missing.
*
*
* double num_missing = 2;
* @return The numMissing.
*/
@java.lang.Override
public double getNumMissing() {
return numMissing_;
}
/**
*
* Weighted number of examples missing.
* Note that if the weighted column is zero, this does not count
* as missing.
*
*
* double num_missing = 2;
* @param value The numMissing to set.
* @return This builder for chaining.
*/
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bitField0_ |= 0x00000002;
onChanged();
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/**
*
* Weighted number of examples missing.
* Note that if the weighted column is zero, this does not count
* as missing.
*
*
* double num_missing = 2;
* @return This builder for chaining.
*/
public Builder clearNumMissing() {
bitField0_ = (bitField0_ & ~0x00000002);
numMissing_ = 0D;
onChanged();
return this;
}
private double avgNumValues_ ;
/**
*
* average number of values, weighted by the number of examples.
*
*
* double avg_num_values = 3;
* @return The avgNumValues.
*/
@java.lang.Override
public double getAvgNumValues() {
return avgNumValues_;
}
/**
*
* average number of values, weighted by the number of examples.
*
*
* double avg_num_values = 3;
* @param value The avgNumValues to set.
* @return This builder for chaining.
*/
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avgNumValues_ = value;
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onChanged();
return this;
}
/**
*
* average number of values, weighted by the number of examples.
*
*
* double avg_num_values = 3;
* @return This builder for chaining.
*/
public Builder clearAvgNumValues() {
bitField0_ = (bitField0_ & ~0x00000004);
avgNumValues_ = 0D;
onChanged();
return this;
}
private double totNumValues_ ;
/**
*
* tot_num_values = avg_num_values * num_non_missing.
* This is calculated directly, so should have less numerical error.
*
*
* double tot_num_values = 4;
* @return The totNumValues.
*/
@java.lang.Override
public double getTotNumValues() {
return totNumValues_;
}
/**
*
* tot_num_values = avg_num_values * num_non_missing.
* This is calculated directly, so should have less numerical error.
*
*
* double tot_num_values = 4;
* @param value The totNumValues to set.
* @return This builder for chaining.
*/
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bitField0_ |= 0x00000008;
onChanged();
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/**
*
* tot_num_values = avg_num_values * num_non_missing.
* This is calculated directly, so should have less numerical error.
*
*
* double tot_num_values = 4;
* @return This builder for chaining.
*/
public Builder clearTotNumValues() {
bitField0_ = (bitField0_ & ~0x00000008);
totNumValues_ = 0D;
onChanged();
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// @@protoc_insertion_point(builder_scope:tensorflow.metadata.v0.WeightedCommonStatistics)
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// @@protoc_insertion_point(class_scope:tensorflow.metadata.v0.WeightedCommonStatistics)
private static final org.tensorflow.metadata.v0.WeightedCommonStatistics DEFAULT_INSTANCE;
static {
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builder.mergeFrom(input, extensionRegistry);
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@java.lang.Override
public org.tensorflow.metadata.v0.WeightedCommonStatistics getDefaultInstanceForType() {
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}
}
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