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/*
* Copyright 2024 Google LLC
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* https://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: google/cloud/automl/v1beta1/text_extraction.proto
// Protobuf Java Version: 3.25.5
package com.google.cloud.automl.v1beta1;
/**
*
*
*
* Model evaluation metrics for text extraction problems.
*
*
* Protobuf type {@code google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics}
*/
public final class TextExtractionEvaluationMetrics extends com.google.protobuf.GeneratedMessageV3
implements
// @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics)
TextExtractionEvaluationMetricsOrBuilder {
private static final long serialVersionUID = 0L;
// Use TextExtractionEvaluationMetrics.newBuilder() to construct.
private TextExtractionEvaluationMetrics(
com.google.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private TextExtractionEvaluationMetrics() {
confidenceMetricsEntries_ = java.util.Collections.emptyList();
}
@java.lang.Override
@SuppressWarnings({"unused"})
protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
return new TextExtractionEvaluationMetrics();
}
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
return com.google.cloud.automl.v1beta1.TextExtraction
.internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return com.google.cloud.automl.v1beta1.TextExtraction
.internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_fieldAccessorTable
.ensureFieldAccessorsInitialized(
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.class,
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.Builder.class);
}
public interface ConfidenceMetricsEntryOrBuilder
extends
// @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry)
com.google.protobuf.MessageOrBuilder {
/**
*
*
*
* Output only. The confidence threshold value used to compute the metrics.
* Only annotations with score of at least this threshold are considered to
* be ones the model would return.
*
*
* float confidence_threshold = 1;
*
* @return The confidenceThreshold.
*/
float getConfidenceThreshold();
/**
*
*
*
* Output only. Recall under the given confidence threshold.
*
*
* float recall = 3;
*
* @return The recall.
*/
float getRecall();
/**
*
*
*
* Output only. Precision under the given confidence threshold.
*
*
* float precision = 4;
*
* @return The precision.
*/
float getPrecision();
/**
*
*
*
* Output only. The harmonic mean of recall and precision.
*
*
* float f1_score = 5;
*
* @return The f1Score.
*/
float getF1Score();
}
/**
*
*
*
* Metrics for a single confidence threshold.
*
*
* Protobuf type {@code
* google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry}
*/
public static final class ConfidenceMetricsEntry extends com.google.protobuf.GeneratedMessageV3
implements
// @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry)
ConfidenceMetricsEntryOrBuilder {
private static final long serialVersionUID = 0L;
// Use ConfidenceMetricsEntry.newBuilder() to construct.
private ConfidenceMetricsEntry(com.google.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private ConfidenceMetricsEntry() {}
@java.lang.Override
@SuppressWarnings({"unused"})
protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
return new ConfidenceMetricsEntry();
}
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
return com.google.cloud.automl.v1beta1.TextExtraction
.internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_ConfidenceMetricsEntry_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return com.google.cloud.automl.v1beta1.TextExtraction
.internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_ConfidenceMetricsEntry_fieldAccessorTable
.ensureFieldAccessorsInitialized(
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry
.class,
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry
.Builder.class);
}
public static final int CONFIDENCE_THRESHOLD_FIELD_NUMBER = 1;
private float confidenceThreshold_ = 0F;
/**
*
*
*
* Output only. The confidence threshold value used to compute the metrics.
* Only annotations with score of at least this threshold are considered to
* be ones the model would return.
*
*
* float confidence_threshold = 1;
*
* @return The confidenceThreshold.
*/
@java.lang.Override
public float getConfidenceThreshold() {
return confidenceThreshold_;
}
public static final int RECALL_FIELD_NUMBER = 3;
private float recall_ = 0F;
/**
*
*
*
* Output only. Recall under the given confidence threshold.
*
*
* float recall = 3;
*
* @return The recall.
*/
@java.lang.Override
public float getRecall() {
return recall_;
}
public static final int PRECISION_FIELD_NUMBER = 4;
private float precision_ = 0F;
/**
*
*
*
* Output only. Precision under the given confidence threshold.
*
*
* float precision = 4;
*
* @return The precision.
*/
@java.lang.Override
public float getPrecision() {
return precision_;
}
public static final int F1_SCORE_FIELD_NUMBER = 5;
private float f1Score_ = 0F;
/**
*
*
*
* Output only. The harmonic mean of recall and precision.
*
*
* float f1_score = 5;
*
* @return The f1Score.
*/
@java.lang.Override
public float getF1Score() {
return f1Score_;
}
private byte memoizedIsInitialized = -1;
@java.lang.Override
public final boolean isInitialized() {
byte isInitialized = memoizedIsInitialized;
if (isInitialized == 1) return true;
if (isInitialized == 0) return false;
memoizedIsInitialized = 1;
return true;
}
@java.lang.Override
public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
if (java.lang.Float.floatToRawIntBits(confidenceThreshold_) != 0) {
output.writeFloat(1, confidenceThreshold_);
}
if (java.lang.Float.floatToRawIntBits(recall_) != 0) {
output.writeFloat(3, recall_);
}
if (java.lang.Float.floatToRawIntBits(precision_) != 0) {
output.writeFloat(4, precision_);
}
if (java.lang.Float.floatToRawIntBits(f1Score_) != 0) {
output.writeFloat(5, f1Score_);
}
getUnknownFields().writeTo(output);
}
@java.lang.Override
public int getSerializedSize() {
int size = memoizedSize;
if (size != -1) return size;
size = 0;
if (java.lang.Float.floatToRawIntBits(confidenceThreshold_) != 0) {
size += com.google.protobuf.CodedOutputStream.computeFloatSize(1, confidenceThreshold_);
}
if (java.lang.Float.floatToRawIntBits(recall_) != 0) {
size += com.google.protobuf.CodedOutputStream.computeFloatSize(3, recall_);
}
if (java.lang.Float.floatToRawIntBits(precision_) != 0) {
size += com.google.protobuf.CodedOutputStream.computeFloatSize(4, precision_);
}
if (java.lang.Float.floatToRawIntBits(f1Score_) != 0) {
size += com.google.protobuf.CodedOutputStream.computeFloatSize(5, f1Score_);
}
size += getUnknownFields().getSerializedSize();
memoizedSize = size;
return size;
}
@java.lang.Override
public boolean equals(final java.lang.Object obj) {
if (obj == this) {
return true;
}
if (!(obj
instanceof
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry)) {
return super.equals(obj);
}
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry other =
(com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry)
obj;
if (java.lang.Float.floatToIntBits(getConfidenceThreshold())
!= java.lang.Float.floatToIntBits(other.getConfidenceThreshold())) return false;
if (java.lang.Float.floatToIntBits(getRecall())
!= java.lang.Float.floatToIntBits(other.getRecall())) return false;
if (java.lang.Float.floatToIntBits(getPrecision())
!= java.lang.Float.floatToIntBits(other.getPrecision())) return false;
if (java.lang.Float.floatToIntBits(getF1Score())
!= java.lang.Float.floatToIntBits(other.getF1Score())) return false;
if (!getUnknownFields().equals(other.getUnknownFields())) return false;
return true;
}
@java.lang.Override
public int hashCode() {
if (memoizedHashCode != 0) {
return memoizedHashCode;
}
int hash = 41;
hash = (19 * hash) + getDescriptor().hashCode();
hash = (37 * hash) + CONFIDENCE_THRESHOLD_FIELD_NUMBER;
hash = (53 * hash) + java.lang.Float.floatToIntBits(getConfidenceThreshold());
hash = (37 * hash) + RECALL_FIELD_NUMBER;
hash = (53 * hash) + java.lang.Float.floatToIntBits(getRecall());
hash = (37 * hash) + PRECISION_FIELD_NUMBER;
hash = (53 * hash) + java.lang.Float.floatToIntBits(getPrecision());
hash = (37 * hash) + F1_SCORE_FIELD_NUMBER;
hash = (53 * hash) + java.lang.Float.floatToIntBits(getF1Score());
hash = (29 * hash) + getUnknownFields().hashCode();
memoizedHashCode = hash;
return hash;
}
public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
.ConfidenceMetricsEntry
parseFrom(java.nio.ByteBuffer data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
.ConfidenceMetricsEntry
parseFrom(
java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
.ConfidenceMetricsEntry
parseFrom(com.google.protobuf.ByteString data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
.ConfidenceMetricsEntry
parseFrom(
com.google.protobuf.ByteString data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
.ConfidenceMetricsEntry
parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
.ConfidenceMetricsEntry
parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
.ConfidenceMetricsEntry
parseFrom(java.io.InputStream input) throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
}
public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
.ConfidenceMetricsEntry
parseFrom(
java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
PARSER, input, extensionRegistry);
}
public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
.ConfidenceMetricsEntry
parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
}
public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
.ConfidenceMetricsEntry
parseDelimitedFrom(
java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
PARSER, input, extensionRegistry);
}
public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
.ConfidenceMetricsEntry
parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
}
public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
.ConfidenceMetricsEntry
parseFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
PARSER, input, extensionRegistry);
}
@java.lang.Override
public Builder newBuilderForType() {
return newBuilder();
}
public static Builder newBuilder() {
return DEFAULT_INSTANCE.toBuilder();
}
public static Builder newBuilder(
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry
prototype) {
return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
}
@java.lang.Override
public Builder toBuilder() {
return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
}
@java.lang.Override
protected Builder newBuilderForType(
com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
Builder builder = new Builder(parent);
return builder;
}
/**
*
*
*
* Metrics for a single confidence threshold.
*
*
* Protobuf type {@code
* google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry}
*/
public static final class Builder
extends com.google.protobuf.GeneratedMessageV3.Builder
implements
// @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry)
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
.ConfidenceMetricsEntryOrBuilder {
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
return com.google.cloud.automl.v1beta1.TextExtraction
.internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_ConfidenceMetricsEntry_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return com.google.cloud.automl.v1beta1.TextExtraction
.internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_ConfidenceMetricsEntry_fieldAccessorTable
.ensureFieldAccessorsInitialized(
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
.ConfidenceMetricsEntry.class,
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
.ConfidenceMetricsEntry.Builder.class);
}
// Construct using
// com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry.newBuilder()
private Builder() {}
private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
super(parent);
}
@java.lang.Override
public Builder clear() {
super.clear();
bitField0_ = 0;
confidenceThreshold_ = 0F;
recall_ = 0F;
precision_ = 0F;
f1Score_ = 0F;
return this;
}
@java.lang.Override
public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
return com.google.cloud.automl.v1beta1.TextExtraction
.internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_ConfidenceMetricsEntry_descriptor;
}
@java.lang.Override
public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry
getDefaultInstanceForType() {
return com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
.ConfidenceMetricsEntry.getDefaultInstance();
}
@java.lang.Override
public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry
build() {
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry
result = buildPartial();
if (!result.isInitialized()) {
throw newUninitializedMessageException(result);
}
return result;
}
@java.lang.Override
public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry
buildPartial() {
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry
result =
new com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
.ConfidenceMetricsEntry(this);
if (bitField0_ != 0) {
buildPartial0(result);
}
onBuilt();
return result;
}
private void buildPartial0(
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry
result) {
int from_bitField0_ = bitField0_;
if (((from_bitField0_ & 0x00000001) != 0)) {
result.confidenceThreshold_ = confidenceThreshold_;
}
if (((from_bitField0_ & 0x00000002) != 0)) {
result.recall_ = recall_;
}
if (((from_bitField0_ & 0x00000004) != 0)) {
result.precision_ = precision_;
}
if (((from_bitField0_ & 0x00000008) != 0)) {
result.f1Score_ = f1Score_;
}
}
@java.lang.Override
public Builder clone() {
return super.clone();
}
@java.lang.Override
public Builder setField(
com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
return super.setField(field, value);
}
@java.lang.Override
public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
return super.clearField(field);
}
@java.lang.Override
public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
return super.clearOneof(oneof);
}
@java.lang.Override
public Builder setRepeatedField(
com.google.protobuf.Descriptors.FieldDescriptor field,
int index,
java.lang.Object value) {
return super.setRepeatedField(field, index, value);
}
@java.lang.Override
public Builder addRepeatedField(
com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
return super.addRepeatedField(field, value);
}
@java.lang.Override
public Builder mergeFrom(com.google.protobuf.Message other) {
if (other
instanceof
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
.ConfidenceMetricsEntry) {
return mergeFrom(
(com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
.ConfidenceMetricsEntry)
other);
} else {
super.mergeFrom(other);
return this;
}
}
public Builder mergeFrom(
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry
other) {
if (other
== com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
.ConfidenceMetricsEntry.getDefaultInstance()) return this;
if (other.getConfidenceThreshold() != 0F) {
setConfidenceThreshold(other.getConfidenceThreshold());
}
if (other.getRecall() != 0F) {
setRecall(other.getRecall());
}
if (other.getPrecision() != 0F) {
setPrecision(other.getPrecision());
}
if (other.getF1Score() != 0F) {
setF1Score(other.getF1Score());
}
this.mergeUnknownFields(other.getUnknownFields());
onChanged();
return this;
}
@java.lang.Override
public final boolean isInitialized() {
return true;
}
@java.lang.Override
public Builder mergeFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
if (extensionRegistry == null) {
throw new java.lang.NullPointerException();
}
try {
boolean done = false;
while (!done) {
int tag = input.readTag();
switch (tag) {
case 0:
done = true;
break;
case 13:
{
confidenceThreshold_ = input.readFloat();
bitField0_ |= 0x00000001;
break;
} // case 13
case 29:
{
recall_ = input.readFloat();
bitField0_ |= 0x00000002;
break;
} // case 29
case 37:
{
precision_ = input.readFloat();
bitField0_ |= 0x00000004;
break;
} // case 37
case 45:
{
f1Score_ = input.readFloat();
bitField0_ |= 0x00000008;
break;
} // case 45
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 bitField0_;
private float confidenceThreshold_;
/**
*
*
*
* Output only. The confidence threshold value used to compute the metrics.
* Only annotations with score of at least this threshold are considered to
* be ones the model would return.
*
*
* float confidence_threshold = 1;
*
* @return The confidenceThreshold.
*/
@java.lang.Override
public float getConfidenceThreshold() {
return confidenceThreshold_;
}
/**
*
*
*
* Output only. The confidence threshold value used to compute the metrics.
* Only annotations with score of at least this threshold are considered to
* be ones the model would return.
*
*
* float confidence_threshold = 1;
*
* @param value The confidenceThreshold to set.
* @return This builder for chaining.
*/
public Builder setConfidenceThreshold(float value) {
confidenceThreshold_ = value;
bitField0_ |= 0x00000001;
onChanged();
return this;
}
/**
*
*
*
* Output only. The confidence threshold value used to compute the metrics.
* Only annotations with score of at least this threshold are considered to
* be ones the model would return.
*
*
* float confidence_threshold = 1;
*
* @return This builder for chaining.
*/
public Builder clearConfidenceThreshold() {
bitField0_ = (bitField0_ & ~0x00000001);
confidenceThreshold_ = 0F;
onChanged();
return this;
}
private float recall_;
/**
*
*
*
* Output only. Recall under the given confidence threshold.
*
*
* float recall = 3;
*
* @return The recall.
*/
@java.lang.Override
public float getRecall() {
return recall_;
}
/**
*
*
*
* Output only. Recall under the given confidence threshold.
*
*
* float recall = 3;
*
* @param value The recall to set.
* @return This builder for chaining.
*/
public Builder setRecall(float value) {
recall_ = value;
bitField0_ |= 0x00000002;
onChanged();
return this;
}
/**
*
*
*
* Output only. Recall under the given confidence threshold.
*
*
* float recall = 3;
*
* @return This builder for chaining.
*/
public Builder clearRecall() {
bitField0_ = (bitField0_ & ~0x00000002);
recall_ = 0F;
onChanged();
return this;
}
private float precision_;
/**
*
*
*
* Output only. Precision under the given confidence threshold.
*
*
* float precision = 4;
*
* @return The precision.
*/
@java.lang.Override
public float getPrecision() {
return precision_;
}
/**
*
*
*
* Output only. Precision under the given confidence threshold.
*
*
* float precision = 4;
*
* @param value The precision to set.
* @return This builder for chaining.
*/
public Builder setPrecision(float value) {
precision_ = value;
bitField0_ |= 0x00000004;
onChanged();
return this;
}
/**
*
*
*
* Output only. Precision under the given confidence threshold.
*
*
* float precision = 4;
*
* @return This builder for chaining.
*/
public Builder clearPrecision() {
bitField0_ = (bitField0_ & ~0x00000004);
precision_ = 0F;
onChanged();
return this;
}
private float f1Score_;
/**
*
*
*
* Output only. The harmonic mean of recall and precision.
*
*
* float f1_score = 5;
*
* @return The f1Score.
*/
@java.lang.Override
public float getF1Score() {
return f1Score_;
}
/**
*
*
*
* Output only. The harmonic mean of recall and precision.
*
*
* float f1_score = 5;
*
* @param value The f1Score to set.
* @return This builder for chaining.
*/
public Builder setF1Score(float value) {
f1Score_ = value;
bitField0_ |= 0x00000008;
onChanged();
return this;
}
/**
*
*
*
* Output only. The harmonic mean of recall and precision.
*
*
* float f1_score = 5;
*
* @return This builder for chaining.
*/
public Builder clearF1Score() {
bitField0_ = (bitField0_ & ~0x00000008);
f1Score_ = 0F;
onChanged();
return this;
}
@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:google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry)
}
// @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry)
private static final com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
.ConfidenceMetricsEntry
DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE =
new com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
.ConfidenceMetricsEntry();
}
public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
.ConfidenceMetricsEntry
getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser PARSER =
new com.google.protobuf.AbstractParser() {
@java.lang.Override
public ConfidenceMetricsEntry 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 com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry
getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
public static final int AU_PRC_FIELD_NUMBER = 1;
private float auPrc_ = 0F;
/**
*
*
*
* Output only. The Area under precision recall curve metric.
*
*
* float au_prc = 1;
*
* @return The auPrc.
*/
@java.lang.Override
public float getAuPrc() {
return auPrc_;
}
public static final int CONFIDENCE_METRICS_ENTRIES_FIELD_NUMBER = 2;
@SuppressWarnings("serial")
private java.util.List<
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry>
confidenceMetricsEntries_;
/**
*
*
*
* Output only. Metrics that have confidence thresholds.
* Precision-recall curve can be derived from it.
*
*
*
* repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;
*
*/
@java.lang.Override
public java.util.List<
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry>
getConfidenceMetricsEntriesList() {
return confidenceMetricsEntries_;
}
/**
*
*
*
* Output only. Metrics that have confidence thresholds.
* Precision-recall curve can be derived from it.
*
*
*
* repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;
*
*/
@java.lang.Override
public java.util.List<
? extends
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
.ConfidenceMetricsEntryOrBuilder>
getConfidenceMetricsEntriesOrBuilderList() {
return confidenceMetricsEntries_;
}
/**
*
*
*
* Output only. Metrics that have confidence thresholds.
* Precision-recall curve can be derived from it.
*
*
*
* repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;
*
*/
@java.lang.Override
public int getConfidenceMetricsEntriesCount() {
return confidenceMetricsEntries_.size();
}
/**
*
*
*
* Output only. Metrics that have confidence thresholds.
* Precision-recall curve can be derived from it.
*
*
*
* repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;
*
*/
@java.lang.Override
public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry
getConfidenceMetricsEntries(int index) {
return confidenceMetricsEntries_.get(index);
}
/**
*
*
*
* Output only. Metrics that have confidence thresholds.
* Precision-recall curve can be derived from it.
*
*
*
* repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;
*
*/
@java.lang.Override
public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
.ConfidenceMetricsEntryOrBuilder
getConfidenceMetricsEntriesOrBuilder(int index) {
return confidenceMetricsEntries_.get(index);
}
private byte memoizedIsInitialized = -1;
@java.lang.Override
public final boolean isInitialized() {
byte isInitialized = memoizedIsInitialized;
if (isInitialized == 1) return true;
if (isInitialized == 0) return false;
memoizedIsInitialized = 1;
return true;
}
@java.lang.Override
public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
if (java.lang.Float.floatToRawIntBits(auPrc_) != 0) {
output.writeFloat(1, auPrc_);
}
for (int i = 0; i < confidenceMetricsEntries_.size(); i++) {
output.writeMessage(2, confidenceMetricsEntries_.get(i));
}
getUnknownFields().writeTo(output);
}
@java.lang.Override
public int getSerializedSize() {
int size = memoizedSize;
if (size != -1) return size;
size = 0;
if (java.lang.Float.floatToRawIntBits(auPrc_) != 0) {
size += com.google.protobuf.CodedOutputStream.computeFloatSize(1, auPrc_);
}
for (int i = 0; i < confidenceMetricsEntries_.size(); i++) {
size +=
com.google.protobuf.CodedOutputStream.computeMessageSize(
2, confidenceMetricsEntries_.get(i));
}
size += getUnknownFields().getSerializedSize();
memoizedSize = size;
return size;
}
@java.lang.Override
public boolean equals(final java.lang.Object obj) {
if (obj == this) {
return true;
}
if (!(obj instanceof com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics)) {
return super.equals(obj);
}
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics other =
(com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) obj;
if (java.lang.Float.floatToIntBits(getAuPrc())
!= java.lang.Float.floatToIntBits(other.getAuPrc())) return false;
if (!getConfidenceMetricsEntriesList().equals(other.getConfidenceMetricsEntriesList()))
return false;
if (!getUnknownFields().equals(other.getUnknownFields())) return false;
return true;
}
@java.lang.Override
public int hashCode() {
if (memoizedHashCode != 0) {
return memoizedHashCode;
}
int hash = 41;
hash = (19 * hash) + getDescriptor().hashCode();
hash = (37 * hash) + AU_PRC_FIELD_NUMBER;
hash = (53 * hash) + java.lang.Float.floatToIntBits(getAuPrc());
if (getConfidenceMetricsEntriesCount() > 0) {
hash = (37 * hash) + CONFIDENCE_METRICS_ENTRIES_FIELD_NUMBER;
hash = (53 * hash) + getConfidenceMetricsEntriesList().hashCode();
}
hash = (29 * hash) + getUnknownFields().hashCode();
memoizedHashCode = hash;
return hash;
}
public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics parseFrom(
java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics parseFrom(
java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics parseFrom(
com.google.protobuf.ByteString data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics parseFrom(
com.google.protobuf.ByteString data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics parseFrom(
byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics parseFrom(
byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics parseFrom(
java.io.InputStream input) throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
}
public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics parseFrom(
java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
PARSER, input, extensionRegistry);
}
public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics parseDelimitedFrom(
java.io.InputStream input) throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
}
public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics parseDelimitedFrom(
java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
PARSER, input, extensionRegistry);
}
public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics parseFrom(
com.google.protobuf.CodedInputStream input) throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
}
public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics parseFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
PARSER, input, extensionRegistry);
}
@java.lang.Override
public Builder newBuilderForType() {
return newBuilder();
}
public static Builder newBuilder() {
return DEFAULT_INSTANCE.toBuilder();
}
public static Builder newBuilder(
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics prototype) {
return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
}
@java.lang.Override
public Builder toBuilder() {
return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
}
@java.lang.Override
protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
Builder builder = new Builder(parent);
return builder;
}
/**
*
*
*
* Model evaluation metrics for text extraction problems.
*
*
* Protobuf type {@code google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics}
*/
public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
implements
// @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics)
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetricsOrBuilder {
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
return com.google.cloud.automl.v1beta1.TextExtraction
.internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return com.google.cloud.automl.v1beta1.TextExtraction
.internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_fieldAccessorTable
.ensureFieldAccessorsInitialized(
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.class,
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.Builder.class);
}
// Construct using com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.newBuilder()
private Builder() {}
private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
super(parent);
}
@java.lang.Override
public Builder clear() {
super.clear();
bitField0_ = 0;
auPrc_ = 0F;
if (confidenceMetricsEntriesBuilder_ == null) {
confidenceMetricsEntries_ = java.util.Collections.emptyList();
} else {
confidenceMetricsEntries_ = null;
confidenceMetricsEntriesBuilder_.clear();
}
bitField0_ = (bitField0_ & ~0x00000002);
return this;
}
@java.lang.Override
public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
return com.google.cloud.automl.v1beta1.TextExtraction
.internal_static_google_cloud_automl_v1beta1_TextExtractionEvaluationMetrics_descriptor;
}
@java.lang.Override
public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
getDefaultInstanceForType() {
return com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.getDefaultInstance();
}
@java.lang.Override
public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics build() {
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics result = buildPartial();
if (!result.isInitialized()) {
throw newUninitializedMessageException(result);
}
return result;
}
@java.lang.Override
public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics buildPartial() {
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics result =
new com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics(this);
buildPartialRepeatedFields(result);
if (bitField0_ != 0) {
buildPartial0(result);
}
onBuilt();
return result;
}
private void buildPartialRepeatedFields(
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics result) {
if (confidenceMetricsEntriesBuilder_ == null) {
if (((bitField0_ & 0x00000002) != 0)) {
confidenceMetricsEntries_ =
java.util.Collections.unmodifiableList(confidenceMetricsEntries_);
bitField0_ = (bitField0_ & ~0x00000002);
}
result.confidenceMetricsEntries_ = confidenceMetricsEntries_;
} else {
result.confidenceMetricsEntries_ = confidenceMetricsEntriesBuilder_.build();
}
}
private void buildPartial0(
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics result) {
int from_bitField0_ = bitField0_;
if (((from_bitField0_ & 0x00000001) != 0)) {
result.auPrc_ = auPrc_;
}
}
@java.lang.Override
public Builder clone() {
return super.clone();
}
@java.lang.Override
public Builder setField(
com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
return super.setField(field, value);
}
@java.lang.Override
public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
return super.clearField(field);
}
@java.lang.Override
public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
return super.clearOneof(oneof);
}
@java.lang.Override
public Builder setRepeatedField(
com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
return super.setRepeatedField(field, index, value);
}
@java.lang.Override
public Builder addRepeatedField(
com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
return super.addRepeatedField(field, value);
}
@java.lang.Override
public Builder mergeFrom(com.google.protobuf.Message other) {
if (other instanceof com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) {
return mergeFrom((com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics) other);
} else {
super.mergeFrom(other);
return this;
}
}
public Builder mergeFrom(
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics other) {
if (other
== com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.getDefaultInstance())
return this;
if (other.getAuPrc() != 0F) {
setAuPrc(other.getAuPrc());
}
if (confidenceMetricsEntriesBuilder_ == null) {
if (!other.confidenceMetricsEntries_.isEmpty()) {
if (confidenceMetricsEntries_.isEmpty()) {
confidenceMetricsEntries_ = other.confidenceMetricsEntries_;
bitField0_ = (bitField0_ & ~0x00000002);
} else {
ensureConfidenceMetricsEntriesIsMutable();
confidenceMetricsEntries_.addAll(other.confidenceMetricsEntries_);
}
onChanged();
}
} else {
if (!other.confidenceMetricsEntries_.isEmpty()) {
if (confidenceMetricsEntriesBuilder_.isEmpty()) {
confidenceMetricsEntriesBuilder_.dispose();
confidenceMetricsEntriesBuilder_ = null;
confidenceMetricsEntries_ = other.confidenceMetricsEntries_;
bitField0_ = (bitField0_ & ~0x00000002);
confidenceMetricsEntriesBuilder_ =
com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
? getConfidenceMetricsEntriesFieldBuilder()
: null;
} else {
confidenceMetricsEntriesBuilder_.addAllMessages(other.confidenceMetricsEntries_);
}
}
}
this.mergeUnknownFields(other.getUnknownFields());
onChanged();
return this;
}
@java.lang.Override
public final boolean isInitialized() {
return true;
}
@java.lang.Override
public Builder mergeFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
if (extensionRegistry == null) {
throw new java.lang.NullPointerException();
}
try {
boolean done = false;
while (!done) {
int tag = input.readTag();
switch (tag) {
case 0:
done = true;
break;
case 13:
{
auPrc_ = input.readFloat();
bitField0_ |= 0x00000001;
break;
} // case 13
case 18:
{
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
.ConfidenceMetricsEntry
m =
input.readMessage(
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
.ConfidenceMetricsEntry.parser(),
extensionRegistry);
if (confidenceMetricsEntriesBuilder_ == null) {
ensureConfidenceMetricsEntriesIsMutable();
confidenceMetricsEntries_.add(m);
} else {
confidenceMetricsEntriesBuilder_.addMessage(m);
}
break;
} // case 18
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 bitField0_;
private float auPrc_;
/**
*
*
*
* Output only. The Area under precision recall curve metric.
*
*
* float au_prc = 1;
*
* @return The auPrc.
*/
@java.lang.Override
public float getAuPrc() {
return auPrc_;
}
/**
*
*
*
* Output only. The Area under precision recall curve metric.
*
*
* float au_prc = 1;
*
* @param value The auPrc to set.
* @return This builder for chaining.
*/
public Builder setAuPrc(float value) {
auPrc_ = value;
bitField0_ |= 0x00000001;
onChanged();
return this;
}
/**
*
*
*
* Output only. The Area under precision recall curve metric.
*
*
* float au_prc = 1;
*
* @return This builder for chaining.
*/
public Builder clearAuPrc() {
bitField0_ = (bitField0_ & ~0x00000001);
auPrc_ = 0F;
onChanged();
return this;
}
private java.util.List<
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry>
confidenceMetricsEntries_ = java.util.Collections.emptyList();
private void ensureConfidenceMetricsEntriesIsMutable() {
if (!((bitField0_ & 0x00000002) != 0)) {
confidenceMetricsEntries_ =
new java.util.ArrayList<
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
.ConfidenceMetricsEntry>(confidenceMetricsEntries_);
bitField0_ |= 0x00000002;
}
}
private com.google.protobuf.RepeatedFieldBuilderV3<
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry,
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry
.Builder,
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
.ConfidenceMetricsEntryOrBuilder>
confidenceMetricsEntriesBuilder_;
/**
*
*
*
* Output only. Metrics that have confidence thresholds.
* Precision-recall curve can be derived from it.
*
*
*
* repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;
*
*/
public java.util.List<
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry>
getConfidenceMetricsEntriesList() {
if (confidenceMetricsEntriesBuilder_ == null) {
return java.util.Collections.unmodifiableList(confidenceMetricsEntries_);
} else {
return confidenceMetricsEntriesBuilder_.getMessageList();
}
}
/**
*
*
*
* Output only. Metrics that have confidence thresholds.
* Precision-recall curve can be derived from it.
*
*
*
* repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;
*
*/
public int getConfidenceMetricsEntriesCount() {
if (confidenceMetricsEntriesBuilder_ == null) {
return confidenceMetricsEntries_.size();
} else {
return confidenceMetricsEntriesBuilder_.getCount();
}
}
/**
*
*
*
* Output only. Metrics that have confidence thresholds.
* Precision-recall curve can be derived from it.
*
*
*
* repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;
*
*/
public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry
getConfidenceMetricsEntries(int index) {
if (confidenceMetricsEntriesBuilder_ == null) {
return confidenceMetricsEntries_.get(index);
} else {
return confidenceMetricsEntriesBuilder_.getMessage(index);
}
}
/**
*
*
*
* Output only. Metrics that have confidence thresholds.
* Precision-recall curve can be derived from it.
*
*
*
* repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;
*
*/
public Builder setConfidenceMetricsEntries(
int index,
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry
value) {
if (confidenceMetricsEntriesBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureConfidenceMetricsEntriesIsMutable();
confidenceMetricsEntries_.set(index, value);
onChanged();
} else {
confidenceMetricsEntriesBuilder_.setMessage(index, value);
}
return this;
}
/**
*
*
*
* Output only. Metrics that have confidence thresholds.
* Precision-recall curve can be derived from it.
*
*
*
* repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;
*
*/
public Builder setConfidenceMetricsEntries(
int index,
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry
.Builder
builderForValue) {
if (confidenceMetricsEntriesBuilder_ == null) {
ensureConfidenceMetricsEntriesIsMutable();
confidenceMetricsEntries_.set(index, builderForValue.build());
onChanged();
} else {
confidenceMetricsEntriesBuilder_.setMessage(index, builderForValue.build());
}
return this;
}
/**
*
*
*
* Output only. Metrics that have confidence thresholds.
* Precision-recall curve can be derived from it.
*
*
*
* repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;
*
*/
public Builder addConfidenceMetricsEntries(
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry
value) {
if (confidenceMetricsEntriesBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureConfidenceMetricsEntriesIsMutable();
confidenceMetricsEntries_.add(value);
onChanged();
} else {
confidenceMetricsEntriesBuilder_.addMessage(value);
}
return this;
}
/**
*
*
*
* Output only. Metrics that have confidence thresholds.
* Precision-recall curve can be derived from it.
*
*
*
* repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;
*
*/
public Builder addConfidenceMetricsEntries(
int index,
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry
value) {
if (confidenceMetricsEntriesBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureConfidenceMetricsEntriesIsMutable();
confidenceMetricsEntries_.add(index, value);
onChanged();
} else {
confidenceMetricsEntriesBuilder_.addMessage(index, value);
}
return this;
}
/**
*
*
*
* Output only. Metrics that have confidence thresholds.
* Precision-recall curve can be derived from it.
*
*
*
* repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;
*
*/
public Builder addConfidenceMetricsEntries(
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry
.Builder
builderForValue) {
if (confidenceMetricsEntriesBuilder_ == null) {
ensureConfidenceMetricsEntriesIsMutable();
confidenceMetricsEntries_.add(builderForValue.build());
onChanged();
} else {
confidenceMetricsEntriesBuilder_.addMessage(builderForValue.build());
}
return this;
}
/**
*
*
*
* Output only. Metrics that have confidence thresholds.
* Precision-recall curve can be derived from it.
*
*
*
* repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;
*
*/
public Builder addConfidenceMetricsEntries(
int index,
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry
.Builder
builderForValue) {
if (confidenceMetricsEntriesBuilder_ == null) {
ensureConfidenceMetricsEntriesIsMutable();
confidenceMetricsEntries_.add(index, builderForValue.build());
onChanged();
} else {
confidenceMetricsEntriesBuilder_.addMessage(index, builderForValue.build());
}
return this;
}
/**
*
*
*
* Output only. Metrics that have confidence thresholds.
* Precision-recall curve can be derived from it.
*
*
*
* repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;
*
*/
public Builder addAllConfidenceMetricsEntries(
java.lang.Iterable<
? extends
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
.ConfidenceMetricsEntry>
values) {
if (confidenceMetricsEntriesBuilder_ == null) {
ensureConfidenceMetricsEntriesIsMutable();
com.google.protobuf.AbstractMessageLite.Builder.addAll(values, confidenceMetricsEntries_);
onChanged();
} else {
confidenceMetricsEntriesBuilder_.addAllMessages(values);
}
return this;
}
/**
*
*
*
* Output only. Metrics that have confidence thresholds.
* Precision-recall curve can be derived from it.
*
*
*
* repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;
*
*/
public Builder clearConfidenceMetricsEntries() {
if (confidenceMetricsEntriesBuilder_ == null) {
confidenceMetricsEntries_ = java.util.Collections.emptyList();
bitField0_ = (bitField0_ & ~0x00000002);
onChanged();
} else {
confidenceMetricsEntriesBuilder_.clear();
}
return this;
}
/**
*
*
*
* Output only. Metrics that have confidence thresholds.
* Precision-recall curve can be derived from it.
*
*
*
* repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;
*
*/
public Builder removeConfidenceMetricsEntries(int index) {
if (confidenceMetricsEntriesBuilder_ == null) {
ensureConfidenceMetricsEntriesIsMutable();
confidenceMetricsEntries_.remove(index);
onChanged();
} else {
confidenceMetricsEntriesBuilder_.remove(index);
}
return this;
}
/**
*
*
*
* Output only. Metrics that have confidence thresholds.
* Precision-recall curve can be derived from it.
*
*
*
* repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;
*
*/
public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry
.Builder
getConfidenceMetricsEntriesBuilder(int index) {
return getConfidenceMetricsEntriesFieldBuilder().getBuilder(index);
}
/**
*
*
*
* Output only. Metrics that have confidence thresholds.
* Precision-recall curve can be derived from it.
*
*
*
* repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;
*
*/
public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
.ConfidenceMetricsEntryOrBuilder
getConfidenceMetricsEntriesOrBuilder(int index) {
if (confidenceMetricsEntriesBuilder_ == null) {
return confidenceMetricsEntries_.get(index);
} else {
return confidenceMetricsEntriesBuilder_.getMessageOrBuilder(index);
}
}
/**
*
*
*
* Output only. Metrics that have confidence thresholds.
* Precision-recall curve can be derived from it.
*
*
*
* repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;
*
*/
public java.util.List<
? extends
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
.ConfidenceMetricsEntryOrBuilder>
getConfidenceMetricsEntriesOrBuilderList() {
if (confidenceMetricsEntriesBuilder_ != null) {
return confidenceMetricsEntriesBuilder_.getMessageOrBuilderList();
} else {
return java.util.Collections.unmodifiableList(confidenceMetricsEntries_);
}
}
/**
*
*
*
* Output only. Metrics that have confidence thresholds.
* Precision-recall curve can be derived from it.
*
*
*
* repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;
*
*/
public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry
.Builder
addConfidenceMetricsEntriesBuilder() {
return getConfidenceMetricsEntriesFieldBuilder()
.addBuilder(
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry
.getDefaultInstance());
}
/**
*
*
*
* Output only. Metrics that have confidence thresholds.
* Precision-recall curve can be derived from it.
*
*
*
* repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;
*
*/
public com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry
.Builder
addConfidenceMetricsEntriesBuilder(int index) {
return getConfidenceMetricsEntriesFieldBuilder()
.addBuilder(
index,
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry
.getDefaultInstance());
}
/**
*
*
*
* Output only. Metrics that have confidence thresholds.
* Precision-recall curve can be derived from it.
*
*
*
* repeated .google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;
*
*/
public java.util.List<
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry
.Builder>
getConfidenceMetricsEntriesBuilderList() {
return getConfidenceMetricsEntriesFieldBuilder().getBuilderList();
}
private com.google.protobuf.RepeatedFieldBuilderV3<
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry,
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry
.Builder,
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
.ConfidenceMetricsEntryOrBuilder>
getConfidenceMetricsEntriesFieldBuilder() {
if (confidenceMetricsEntriesBuilder_ == null) {
confidenceMetricsEntriesBuilder_ =
new com.google.protobuf.RepeatedFieldBuilderV3<
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
.ConfidenceMetricsEntry,
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
.ConfidenceMetricsEntry.Builder,
com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
.ConfidenceMetricsEntryOrBuilder>(
confidenceMetricsEntries_,
((bitField0_ & 0x00000002) != 0),
getParentForChildren(),
isClean());
confidenceMetricsEntries_ = null;
}
return confidenceMetricsEntriesBuilder_;
}
@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:google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics)
}
// @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics)
private static final com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics();
}
public static com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser PARSER =
new com.google.protobuf.AbstractParser() {
@java.lang.Override
public TextExtractionEvaluationMetrics 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 com.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics
getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}