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PROTO library for proto-google-cloud-automl-v1beta1
/*
* 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/tables.proto
// Protobuf Java Version: 3.25.5
package com.google.cloud.automl.v1beta1;
/**
*
*
*
* Contains annotation details specific to Tables.
*
*
* Protobuf type {@code google.cloud.automl.v1beta1.TablesAnnotation}
*/
public final class TablesAnnotation extends com.google.protobuf.GeneratedMessageV3
implements
// @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TablesAnnotation)
TablesAnnotationOrBuilder {
private static final long serialVersionUID = 0L;
// Use TablesAnnotation.newBuilder() to construct.
private TablesAnnotation(com.google.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private TablesAnnotation() {
tablesModelColumnInfo_ = java.util.Collections.emptyList();
}
@java.lang.Override
@SuppressWarnings({"unused"})
protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
return new TablesAnnotation();
}
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
return com.google.cloud.automl.v1beta1.Tables
.internal_static_google_cloud_automl_v1beta1_TablesAnnotation_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return com.google.cloud.automl.v1beta1.Tables
.internal_static_google_cloud_automl_v1beta1_TablesAnnotation_fieldAccessorTable
.ensureFieldAccessorsInitialized(
com.google.cloud.automl.v1beta1.TablesAnnotation.class,
com.google.cloud.automl.v1beta1.TablesAnnotation.Builder.class);
}
private int bitField0_;
public static final int SCORE_FIELD_NUMBER = 1;
private float score_ = 0F;
/**
*
*
*
* Output only. A confidence estimate between 0.0 and 1.0, inclusive. A higher
* value means greater confidence in the returned value.
* For
*
* [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
* of FLOAT64 data type the score is not populated.
*
*
* float score = 1;
*
* @return The score.
*/
@java.lang.Override
public float getScore() {
return score_;
}
public static final int PREDICTION_INTERVAL_FIELD_NUMBER = 4;
private com.google.cloud.automl.v1beta1.DoubleRange predictionInterval_;
/**
*
*
*
* Output only. Only populated when
*
* [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
* has FLOAT64 data type. An interval in which the exactly correct target
* value has 95% chance to be in.
*
*
* .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4;
*
* @return Whether the predictionInterval field is set.
*/
@java.lang.Override
public boolean hasPredictionInterval() {
return ((bitField0_ & 0x00000001) != 0);
}
/**
*
*
*
* Output only. Only populated when
*
* [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
* has FLOAT64 data type. An interval in which the exactly correct target
* value has 95% chance to be in.
*
*
* .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4;
*
* @return The predictionInterval.
*/
@java.lang.Override
public com.google.cloud.automl.v1beta1.DoubleRange getPredictionInterval() {
return predictionInterval_ == null
? com.google.cloud.automl.v1beta1.DoubleRange.getDefaultInstance()
: predictionInterval_;
}
/**
*
*
*
* Output only. Only populated when
*
* [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
* has FLOAT64 data type. An interval in which the exactly correct target
* value has 95% chance to be in.
*
*
* .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4;
*/
@java.lang.Override
public com.google.cloud.automl.v1beta1.DoubleRangeOrBuilder getPredictionIntervalOrBuilder() {
return predictionInterval_ == null
? com.google.cloud.automl.v1beta1.DoubleRange.getDefaultInstance()
: predictionInterval_;
}
public static final int VALUE_FIELD_NUMBER = 2;
private com.google.protobuf.Value value_;
/**
*
*
*
* The predicted value of the row's
*
* [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
* The value depends on the column's DataType:
*
* * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
* value.
*
* * FLOAT64 - the predicted (with above `prediction_interval`) FLOAT64 value.
*
*
* .google.protobuf.Value value = 2;
*
* @return Whether the value field is set.
*/
@java.lang.Override
public boolean hasValue() {
return ((bitField0_ & 0x00000002) != 0);
}
/**
*
*
*
* The predicted value of the row's
*
* [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
* The value depends on the column's DataType:
*
* * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
* value.
*
* * FLOAT64 - the predicted (with above `prediction_interval`) FLOAT64 value.
*
*
* .google.protobuf.Value value = 2;
*
* @return The value.
*/
@java.lang.Override
public com.google.protobuf.Value getValue() {
return value_ == null ? com.google.protobuf.Value.getDefaultInstance() : value_;
}
/**
*
*
*
* The predicted value of the row's
*
* [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
* The value depends on the column's DataType:
*
* * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
* value.
*
* * FLOAT64 - the predicted (with above `prediction_interval`) FLOAT64 value.
*
*
* .google.protobuf.Value value = 2;
*/
@java.lang.Override
public com.google.protobuf.ValueOrBuilder getValueOrBuilder() {
return value_ == null ? com.google.protobuf.Value.getDefaultInstance() : value_;
}
public static final int TABLES_MODEL_COLUMN_INFO_FIELD_NUMBER = 3;
@SuppressWarnings("serial")
private java.util.List
tablesModelColumnInfo_;
/**
*
*
*
* Output only. Auxiliary information for each of the model's
*
* [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
* with respect to this particular prediction.
* If no other fields than
*
* [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
* and
*
* [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
* would be populated, then this whole field is not.
*
*
* repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;
*
*/
@java.lang.Override
public java.util.List
getTablesModelColumnInfoList() {
return tablesModelColumnInfo_;
}
/**
*
*
*
* Output only. Auxiliary information for each of the model's
*
* [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
* with respect to this particular prediction.
* If no other fields than
*
* [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
* and
*
* [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
* would be populated, then this whole field is not.
*
*
* repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;
*
*/
@java.lang.Override
public java.util.List
getTablesModelColumnInfoOrBuilderList() {
return tablesModelColumnInfo_;
}
/**
*
*
*
* Output only. Auxiliary information for each of the model's
*
* [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
* with respect to this particular prediction.
* If no other fields than
*
* [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
* and
*
* [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
* would be populated, then this whole field is not.
*
*
* repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;
*
*/
@java.lang.Override
public int getTablesModelColumnInfoCount() {
return tablesModelColumnInfo_.size();
}
/**
*
*
*
* Output only. Auxiliary information for each of the model's
*
* [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
* with respect to this particular prediction.
* If no other fields than
*
* [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
* and
*
* [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
* would be populated, then this whole field is not.
*
*
* repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;
*
*/
@java.lang.Override
public com.google.cloud.automl.v1beta1.TablesModelColumnInfo getTablesModelColumnInfo(int index) {
return tablesModelColumnInfo_.get(index);
}
/**
*
*
*
* Output only. Auxiliary information for each of the model's
*
* [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
* with respect to this particular prediction.
* If no other fields than
*
* [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
* and
*
* [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
* would be populated, then this whole field is not.
*
*
* repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;
*
*/
@java.lang.Override
public com.google.cloud.automl.v1beta1.TablesModelColumnInfoOrBuilder
getTablesModelColumnInfoOrBuilder(int index) {
return tablesModelColumnInfo_.get(index);
}
public static final int BASELINE_SCORE_FIELD_NUMBER = 5;
private float baselineScore_ = 0F;
/**
*
*
*
* Output only. Stores the prediction score for the baseline example, which
* is defined as the example with all values set to their baseline values.
* This is used as part of the Sampled Shapley explanation of the model's
* prediction. This field is populated only when feature importance is
* requested. For regression models, this holds the baseline prediction for
* the baseline example. For classification models, this holds the baseline
* prediction for the baseline example for the argmax class.
*
*
* float baseline_score = 5;
*
* @return The baselineScore.
*/
@java.lang.Override
public float getBaselineScore() {
return baselineScore_;
}
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(score_) != 0) {
output.writeFloat(1, score_);
}
if (((bitField0_ & 0x00000002) != 0)) {
output.writeMessage(2, getValue());
}
for (int i = 0; i < tablesModelColumnInfo_.size(); i++) {
output.writeMessage(3, tablesModelColumnInfo_.get(i));
}
if (((bitField0_ & 0x00000001) != 0)) {
output.writeMessage(4, getPredictionInterval());
}
if (java.lang.Float.floatToRawIntBits(baselineScore_) != 0) {
output.writeFloat(5, baselineScore_);
}
getUnknownFields().writeTo(output);
}
@java.lang.Override
public int getSerializedSize() {
int size = memoizedSize;
if (size != -1) return size;
size = 0;
if (java.lang.Float.floatToRawIntBits(score_) != 0) {
size += com.google.protobuf.CodedOutputStream.computeFloatSize(1, score_);
}
if (((bitField0_ & 0x00000002) != 0)) {
size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getValue());
}
for (int i = 0; i < tablesModelColumnInfo_.size(); i++) {
size +=
com.google.protobuf.CodedOutputStream.computeMessageSize(
3, tablesModelColumnInfo_.get(i));
}
if (((bitField0_ & 0x00000001) != 0)) {
size += com.google.protobuf.CodedOutputStream.computeMessageSize(4, getPredictionInterval());
}
if (java.lang.Float.floatToRawIntBits(baselineScore_) != 0) {
size += com.google.protobuf.CodedOutputStream.computeFloatSize(5, baselineScore_);
}
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.TablesAnnotation)) {
return super.equals(obj);
}
com.google.cloud.automl.v1beta1.TablesAnnotation other =
(com.google.cloud.automl.v1beta1.TablesAnnotation) obj;
if (java.lang.Float.floatToIntBits(getScore())
!= java.lang.Float.floatToIntBits(other.getScore())) return false;
if (hasPredictionInterval() != other.hasPredictionInterval()) return false;
if (hasPredictionInterval()) {
if (!getPredictionInterval().equals(other.getPredictionInterval())) return false;
}
if (hasValue() != other.hasValue()) return false;
if (hasValue()) {
if (!getValue().equals(other.getValue())) return false;
}
if (!getTablesModelColumnInfoList().equals(other.getTablesModelColumnInfoList())) return false;
if (java.lang.Float.floatToIntBits(getBaselineScore())
!= java.lang.Float.floatToIntBits(other.getBaselineScore())) 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) + SCORE_FIELD_NUMBER;
hash = (53 * hash) + java.lang.Float.floatToIntBits(getScore());
if (hasPredictionInterval()) {
hash = (37 * hash) + PREDICTION_INTERVAL_FIELD_NUMBER;
hash = (53 * hash) + getPredictionInterval().hashCode();
}
if (hasValue()) {
hash = (37 * hash) + VALUE_FIELD_NUMBER;
hash = (53 * hash) + getValue().hashCode();
}
if (getTablesModelColumnInfoCount() > 0) {
hash = (37 * hash) + TABLES_MODEL_COLUMN_INFO_FIELD_NUMBER;
hash = (53 * hash) + getTablesModelColumnInfoList().hashCode();
}
hash = (37 * hash) + BASELINE_SCORE_FIELD_NUMBER;
hash = (53 * hash) + java.lang.Float.floatToIntBits(getBaselineScore());
hash = (29 * hash) + getUnknownFields().hashCode();
memoizedHashCode = hash;
return hash;
}
public static com.google.cloud.automl.v1beta1.TablesAnnotation parseFrom(java.nio.ByteBuffer data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.automl.v1beta1.TablesAnnotation 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.TablesAnnotation parseFrom(
com.google.protobuf.ByteString data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.automl.v1beta1.TablesAnnotation 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.TablesAnnotation parseFrom(byte[] data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.automl.v1beta1.TablesAnnotation 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.TablesAnnotation parseFrom(
java.io.InputStream input) throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
}
public static com.google.cloud.automl.v1beta1.TablesAnnotation 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.TablesAnnotation parseDelimitedFrom(
java.io.InputStream input) throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
}
public static com.google.cloud.automl.v1beta1.TablesAnnotation 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.TablesAnnotation 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.TablesAnnotation 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.TablesAnnotation 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;
}
/**
*
*
*
* Contains annotation details specific to Tables.
*
*
* Protobuf type {@code google.cloud.automl.v1beta1.TablesAnnotation}
*/
public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
implements
// @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TablesAnnotation)
com.google.cloud.automl.v1beta1.TablesAnnotationOrBuilder {
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
return com.google.cloud.automl.v1beta1.Tables
.internal_static_google_cloud_automl_v1beta1_TablesAnnotation_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return com.google.cloud.automl.v1beta1.Tables
.internal_static_google_cloud_automl_v1beta1_TablesAnnotation_fieldAccessorTable
.ensureFieldAccessorsInitialized(
com.google.cloud.automl.v1beta1.TablesAnnotation.class,
com.google.cloud.automl.v1beta1.TablesAnnotation.Builder.class);
}
// Construct using com.google.cloud.automl.v1beta1.TablesAnnotation.newBuilder()
private Builder() {
maybeForceBuilderInitialization();
}
private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
super(parent);
maybeForceBuilderInitialization();
}
private void maybeForceBuilderInitialization() {
if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
getPredictionIntervalFieldBuilder();
getValueFieldBuilder();
getTablesModelColumnInfoFieldBuilder();
}
}
@java.lang.Override
public Builder clear() {
super.clear();
bitField0_ = 0;
score_ = 0F;
predictionInterval_ = null;
if (predictionIntervalBuilder_ != null) {
predictionIntervalBuilder_.dispose();
predictionIntervalBuilder_ = null;
}
value_ = null;
if (valueBuilder_ != null) {
valueBuilder_.dispose();
valueBuilder_ = null;
}
if (tablesModelColumnInfoBuilder_ == null) {
tablesModelColumnInfo_ = java.util.Collections.emptyList();
} else {
tablesModelColumnInfo_ = null;
tablesModelColumnInfoBuilder_.clear();
}
bitField0_ = (bitField0_ & ~0x00000008);
baselineScore_ = 0F;
return this;
}
@java.lang.Override
public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
return com.google.cloud.automl.v1beta1.Tables
.internal_static_google_cloud_automl_v1beta1_TablesAnnotation_descriptor;
}
@java.lang.Override
public com.google.cloud.automl.v1beta1.TablesAnnotation getDefaultInstanceForType() {
return com.google.cloud.automl.v1beta1.TablesAnnotation.getDefaultInstance();
}
@java.lang.Override
public com.google.cloud.automl.v1beta1.TablesAnnotation build() {
com.google.cloud.automl.v1beta1.TablesAnnotation result = buildPartial();
if (!result.isInitialized()) {
throw newUninitializedMessageException(result);
}
return result;
}
@java.lang.Override
public com.google.cloud.automl.v1beta1.TablesAnnotation buildPartial() {
com.google.cloud.automl.v1beta1.TablesAnnotation result =
new com.google.cloud.automl.v1beta1.TablesAnnotation(this);
buildPartialRepeatedFields(result);
if (bitField0_ != 0) {
buildPartial0(result);
}
onBuilt();
return result;
}
private void buildPartialRepeatedFields(
com.google.cloud.automl.v1beta1.TablesAnnotation result) {
if (tablesModelColumnInfoBuilder_ == null) {
if (((bitField0_ & 0x00000008) != 0)) {
tablesModelColumnInfo_ = java.util.Collections.unmodifiableList(tablesModelColumnInfo_);
bitField0_ = (bitField0_ & ~0x00000008);
}
result.tablesModelColumnInfo_ = tablesModelColumnInfo_;
} else {
result.tablesModelColumnInfo_ = tablesModelColumnInfoBuilder_.build();
}
}
private void buildPartial0(com.google.cloud.automl.v1beta1.TablesAnnotation result) {
int from_bitField0_ = bitField0_;
if (((from_bitField0_ & 0x00000001) != 0)) {
result.score_ = score_;
}
int to_bitField0_ = 0;
if (((from_bitField0_ & 0x00000002) != 0)) {
result.predictionInterval_ =
predictionIntervalBuilder_ == null
? predictionInterval_
: predictionIntervalBuilder_.build();
to_bitField0_ |= 0x00000001;
}
if (((from_bitField0_ & 0x00000004) != 0)) {
result.value_ = valueBuilder_ == null ? value_ : valueBuilder_.build();
to_bitField0_ |= 0x00000002;
}
if (((from_bitField0_ & 0x00000010) != 0)) {
result.baselineScore_ = baselineScore_;
}
result.bitField0_ |= to_bitField0_;
}
@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.TablesAnnotation) {
return mergeFrom((com.google.cloud.automl.v1beta1.TablesAnnotation) other);
} else {
super.mergeFrom(other);
return this;
}
}
public Builder mergeFrom(com.google.cloud.automl.v1beta1.TablesAnnotation other) {
if (other == com.google.cloud.automl.v1beta1.TablesAnnotation.getDefaultInstance())
return this;
if (other.getScore() != 0F) {
setScore(other.getScore());
}
if (other.hasPredictionInterval()) {
mergePredictionInterval(other.getPredictionInterval());
}
if (other.hasValue()) {
mergeValue(other.getValue());
}
if (tablesModelColumnInfoBuilder_ == null) {
if (!other.tablesModelColumnInfo_.isEmpty()) {
if (tablesModelColumnInfo_.isEmpty()) {
tablesModelColumnInfo_ = other.tablesModelColumnInfo_;
bitField0_ = (bitField0_ & ~0x00000008);
} else {
ensureTablesModelColumnInfoIsMutable();
tablesModelColumnInfo_.addAll(other.tablesModelColumnInfo_);
}
onChanged();
}
} else {
if (!other.tablesModelColumnInfo_.isEmpty()) {
if (tablesModelColumnInfoBuilder_.isEmpty()) {
tablesModelColumnInfoBuilder_.dispose();
tablesModelColumnInfoBuilder_ = null;
tablesModelColumnInfo_ = other.tablesModelColumnInfo_;
bitField0_ = (bitField0_ & ~0x00000008);
tablesModelColumnInfoBuilder_ =
com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
? getTablesModelColumnInfoFieldBuilder()
: null;
} else {
tablesModelColumnInfoBuilder_.addAllMessages(other.tablesModelColumnInfo_);
}
}
}
if (other.getBaselineScore() != 0F) {
setBaselineScore(other.getBaselineScore());
}
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:
{
score_ = input.readFloat();
bitField0_ |= 0x00000001;
break;
} // case 13
case 18:
{
input.readMessage(getValueFieldBuilder().getBuilder(), extensionRegistry);
bitField0_ |= 0x00000004;
break;
} // case 18
case 26:
{
com.google.cloud.automl.v1beta1.TablesModelColumnInfo m =
input.readMessage(
com.google.cloud.automl.v1beta1.TablesModelColumnInfo.parser(),
extensionRegistry);
if (tablesModelColumnInfoBuilder_ == null) {
ensureTablesModelColumnInfoIsMutable();
tablesModelColumnInfo_.add(m);
} else {
tablesModelColumnInfoBuilder_.addMessage(m);
}
break;
} // case 26
case 34:
{
input.readMessage(
getPredictionIntervalFieldBuilder().getBuilder(), extensionRegistry);
bitField0_ |= 0x00000002;
break;
} // case 34
case 45:
{
baselineScore_ = input.readFloat();
bitField0_ |= 0x00000010;
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 score_;
/**
*
*
*
* Output only. A confidence estimate between 0.0 and 1.0, inclusive. A higher
* value means greater confidence in the returned value.
* For
*
* [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
* of FLOAT64 data type the score is not populated.
*
*
* float score = 1;
*
* @return The score.
*/
@java.lang.Override
public float getScore() {
return score_;
}
/**
*
*
*
* Output only. A confidence estimate between 0.0 and 1.0, inclusive. A higher
* value means greater confidence in the returned value.
* For
*
* [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
* of FLOAT64 data type the score is not populated.
*
*
* float score = 1;
*
* @param value The score to set.
* @return This builder for chaining.
*/
public Builder setScore(float value) {
score_ = value;
bitField0_ |= 0x00000001;
onChanged();
return this;
}
/**
*
*
*
* Output only. A confidence estimate between 0.0 and 1.0, inclusive. A higher
* value means greater confidence in the returned value.
* For
*
* [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
* of FLOAT64 data type the score is not populated.
*
*
* float score = 1;
*
* @return This builder for chaining.
*/
public Builder clearScore() {
bitField0_ = (bitField0_ & ~0x00000001);
score_ = 0F;
onChanged();
return this;
}
private com.google.cloud.automl.v1beta1.DoubleRange predictionInterval_;
private com.google.protobuf.SingleFieldBuilderV3<
com.google.cloud.automl.v1beta1.DoubleRange,
com.google.cloud.automl.v1beta1.DoubleRange.Builder,
com.google.cloud.automl.v1beta1.DoubleRangeOrBuilder>
predictionIntervalBuilder_;
/**
*
*
*
* Output only. Only populated when
*
* [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
* has FLOAT64 data type. An interval in which the exactly correct target
* value has 95% chance to be in.
*
*
* .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4;
*
* @return Whether the predictionInterval field is set.
*/
public boolean hasPredictionInterval() {
return ((bitField0_ & 0x00000002) != 0);
}
/**
*
*
*
* Output only. Only populated when
*
* [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
* has FLOAT64 data type. An interval in which the exactly correct target
* value has 95% chance to be in.
*
*
* .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4;
*
* @return The predictionInterval.
*/
public com.google.cloud.automl.v1beta1.DoubleRange getPredictionInterval() {
if (predictionIntervalBuilder_ == null) {
return predictionInterval_ == null
? com.google.cloud.automl.v1beta1.DoubleRange.getDefaultInstance()
: predictionInterval_;
} else {
return predictionIntervalBuilder_.getMessage();
}
}
/**
*
*
*
* Output only. Only populated when
*
* [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
* has FLOAT64 data type. An interval in which the exactly correct target
* value has 95% chance to be in.
*
*
* .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4;
*/
public Builder setPredictionInterval(com.google.cloud.automl.v1beta1.DoubleRange value) {
if (predictionIntervalBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
predictionInterval_ = value;
} else {
predictionIntervalBuilder_.setMessage(value);
}
bitField0_ |= 0x00000002;
onChanged();
return this;
}
/**
*
*
*
* Output only. Only populated when
*
* [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
* has FLOAT64 data type. An interval in which the exactly correct target
* value has 95% chance to be in.
*
*
* .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4;
*/
public Builder setPredictionInterval(
com.google.cloud.automl.v1beta1.DoubleRange.Builder builderForValue) {
if (predictionIntervalBuilder_ == null) {
predictionInterval_ = builderForValue.build();
} else {
predictionIntervalBuilder_.setMessage(builderForValue.build());
}
bitField0_ |= 0x00000002;
onChanged();
return this;
}
/**
*
*
*
* Output only. Only populated when
*
* [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
* has FLOAT64 data type. An interval in which the exactly correct target
* value has 95% chance to be in.
*
*
* .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4;
*/
public Builder mergePredictionInterval(com.google.cloud.automl.v1beta1.DoubleRange value) {
if (predictionIntervalBuilder_ == null) {
if (((bitField0_ & 0x00000002) != 0)
&& predictionInterval_ != null
&& predictionInterval_
!= com.google.cloud.automl.v1beta1.DoubleRange.getDefaultInstance()) {
getPredictionIntervalBuilder().mergeFrom(value);
} else {
predictionInterval_ = value;
}
} else {
predictionIntervalBuilder_.mergeFrom(value);
}
if (predictionInterval_ != null) {
bitField0_ |= 0x00000002;
onChanged();
}
return this;
}
/**
*
*
*
* Output only. Only populated when
*
* [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
* has FLOAT64 data type. An interval in which the exactly correct target
* value has 95% chance to be in.
*
*
* .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4;
*/
public Builder clearPredictionInterval() {
bitField0_ = (bitField0_ & ~0x00000002);
predictionInterval_ = null;
if (predictionIntervalBuilder_ != null) {
predictionIntervalBuilder_.dispose();
predictionIntervalBuilder_ = null;
}
onChanged();
return this;
}
/**
*
*
*
* Output only. Only populated when
*
* [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
* has FLOAT64 data type. An interval in which the exactly correct target
* value has 95% chance to be in.
*
*
* .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4;
*/
public com.google.cloud.automl.v1beta1.DoubleRange.Builder getPredictionIntervalBuilder() {
bitField0_ |= 0x00000002;
onChanged();
return getPredictionIntervalFieldBuilder().getBuilder();
}
/**
*
*
*
* Output only. Only populated when
*
* [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
* has FLOAT64 data type. An interval in which the exactly correct target
* value has 95% chance to be in.
*
*
* .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4;
*/
public com.google.cloud.automl.v1beta1.DoubleRangeOrBuilder getPredictionIntervalOrBuilder() {
if (predictionIntervalBuilder_ != null) {
return predictionIntervalBuilder_.getMessageOrBuilder();
} else {
return predictionInterval_ == null
? com.google.cloud.automl.v1beta1.DoubleRange.getDefaultInstance()
: predictionInterval_;
}
}
/**
*
*
*
* Output only. Only populated when
*
* [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
* has FLOAT64 data type. An interval in which the exactly correct target
* value has 95% chance to be in.
*
*
* .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4;
*/
private com.google.protobuf.SingleFieldBuilderV3<
com.google.cloud.automl.v1beta1.DoubleRange,
com.google.cloud.automl.v1beta1.DoubleRange.Builder,
com.google.cloud.automl.v1beta1.DoubleRangeOrBuilder>
getPredictionIntervalFieldBuilder() {
if (predictionIntervalBuilder_ == null) {
predictionIntervalBuilder_ =
new com.google.protobuf.SingleFieldBuilderV3<
com.google.cloud.automl.v1beta1.DoubleRange,
com.google.cloud.automl.v1beta1.DoubleRange.Builder,
com.google.cloud.automl.v1beta1.DoubleRangeOrBuilder>(
getPredictionInterval(), getParentForChildren(), isClean());
predictionInterval_ = null;
}
return predictionIntervalBuilder_;
}
private com.google.protobuf.Value value_;
private com.google.protobuf.SingleFieldBuilderV3<
com.google.protobuf.Value,
com.google.protobuf.Value.Builder,
com.google.protobuf.ValueOrBuilder>
valueBuilder_;
/**
*
*
*
* The predicted value of the row's
*
* [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
* The value depends on the column's DataType:
*
* * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
* value.
*
* * FLOAT64 - the predicted (with above `prediction_interval`) FLOAT64 value.
*
*
* .google.protobuf.Value value = 2;
*
* @return Whether the value field is set.
*/
public boolean hasValue() {
return ((bitField0_ & 0x00000004) != 0);
}
/**
*
*
*
* The predicted value of the row's
*
* [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
* The value depends on the column's DataType:
*
* * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
* value.
*
* * FLOAT64 - the predicted (with above `prediction_interval`) FLOAT64 value.
*
*
* .google.protobuf.Value value = 2;
*
* @return The value.
*/
public com.google.protobuf.Value getValue() {
if (valueBuilder_ == null) {
return value_ == null ? com.google.protobuf.Value.getDefaultInstance() : value_;
} else {
return valueBuilder_.getMessage();
}
}
/**
*
*
*
* The predicted value of the row's
*
* [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
* The value depends on the column's DataType:
*
* * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
* value.
*
* * FLOAT64 - the predicted (with above `prediction_interval`) FLOAT64 value.
*
*
* .google.protobuf.Value value = 2;
*/
public Builder setValue(com.google.protobuf.Value value) {
if (valueBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
value_ = value;
} else {
valueBuilder_.setMessage(value);
}
bitField0_ |= 0x00000004;
onChanged();
return this;
}
/**
*
*
*
* The predicted value of the row's
*
* [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
* The value depends on the column's DataType:
*
* * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
* value.
*
* * FLOAT64 - the predicted (with above `prediction_interval`) FLOAT64 value.
*
*
* .google.protobuf.Value value = 2;
*/
public Builder setValue(com.google.protobuf.Value.Builder builderForValue) {
if (valueBuilder_ == null) {
value_ = builderForValue.build();
} else {
valueBuilder_.setMessage(builderForValue.build());
}
bitField0_ |= 0x00000004;
onChanged();
return this;
}
/**
*
*
*
* The predicted value of the row's
*
* [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
* The value depends on the column's DataType:
*
* * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
* value.
*
* * FLOAT64 - the predicted (with above `prediction_interval`) FLOAT64 value.
*
*
* .google.protobuf.Value value = 2;
*/
public Builder mergeValue(com.google.protobuf.Value value) {
if (valueBuilder_ == null) {
if (((bitField0_ & 0x00000004) != 0)
&& value_ != null
&& value_ != com.google.protobuf.Value.getDefaultInstance()) {
getValueBuilder().mergeFrom(value);
} else {
value_ = value;
}
} else {
valueBuilder_.mergeFrom(value);
}
if (value_ != null) {
bitField0_ |= 0x00000004;
onChanged();
}
return this;
}
/**
*
*
*
* The predicted value of the row's
*
* [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
* The value depends on the column's DataType:
*
* * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
* value.
*
* * FLOAT64 - the predicted (with above `prediction_interval`) FLOAT64 value.
*
*
* .google.protobuf.Value value = 2;
*/
public Builder clearValue() {
bitField0_ = (bitField0_ & ~0x00000004);
value_ = null;
if (valueBuilder_ != null) {
valueBuilder_.dispose();
valueBuilder_ = null;
}
onChanged();
return this;
}
/**
*
*
*
* The predicted value of the row's
*
* [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
* The value depends on the column's DataType:
*
* * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
* value.
*
* * FLOAT64 - the predicted (with above `prediction_interval`) FLOAT64 value.
*
*
* .google.protobuf.Value value = 2;
*/
public com.google.protobuf.Value.Builder getValueBuilder() {
bitField0_ |= 0x00000004;
onChanged();
return getValueFieldBuilder().getBuilder();
}
/**
*
*
*
* The predicted value of the row's
*
* [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
* The value depends on the column's DataType:
*
* * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
* value.
*
* * FLOAT64 - the predicted (with above `prediction_interval`) FLOAT64 value.
*
*
* .google.protobuf.Value value = 2;
*/
public com.google.protobuf.ValueOrBuilder getValueOrBuilder() {
if (valueBuilder_ != null) {
return valueBuilder_.getMessageOrBuilder();
} else {
return value_ == null ? com.google.protobuf.Value.getDefaultInstance() : value_;
}
}
/**
*
*
*
* The predicted value of the row's
*
* [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
* The value depends on the column's DataType:
*
* * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
* value.
*
* * FLOAT64 - the predicted (with above `prediction_interval`) FLOAT64 value.
*
*
* .google.protobuf.Value value = 2;
*/
private com.google.protobuf.SingleFieldBuilderV3<
com.google.protobuf.Value,
com.google.protobuf.Value.Builder,
com.google.protobuf.ValueOrBuilder>
getValueFieldBuilder() {
if (valueBuilder_ == null) {
valueBuilder_ =
new com.google.protobuf.SingleFieldBuilderV3<
com.google.protobuf.Value,
com.google.protobuf.Value.Builder,
com.google.protobuf.ValueOrBuilder>(getValue(), getParentForChildren(), isClean());
value_ = null;
}
return valueBuilder_;
}
private java.util.List
tablesModelColumnInfo_ = java.util.Collections.emptyList();
private void ensureTablesModelColumnInfoIsMutable() {
if (!((bitField0_ & 0x00000008) != 0)) {
tablesModelColumnInfo_ =
new java.util.ArrayList(
tablesModelColumnInfo_);
bitField0_ |= 0x00000008;
}
}
private com.google.protobuf.RepeatedFieldBuilderV3<
com.google.cloud.automl.v1beta1.TablesModelColumnInfo,
com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder,
com.google.cloud.automl.v1beta1.TablesModelColumnInfoOrBuilder>
tablesModelColumnInfoBuilder_;
/**
*
*
*
* Output only. Auxiliary information for each of the model's
*
* [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
* with respect to this particular prediction.
* If no other fields than
*
* [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
* and
*
* [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
* would be populated, then this whole field is not.
*
*
*
* repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;
*
*/
public java.util.List
getTablesModelColumnInfoList() {
if (tablesModelColumnInfoBuilder_ == null) {
return java.util.Collections.unmodifiableList(tablesModelColumnInfo_);
} else {
return tablesModelColumnInfoBuilder_.getMessageList();
}
}
/**
*
*
*
* Output only. Auxiliary information for each of the model's
*
* [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
* with respect to this particular prediction.
* If no other fields than
*
* [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
* and
*
* [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
* would be populated, then this whole field is not.
*
*
*
* repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;
*
*/
public int getTablesModelColumnInfoCount() {
if (tablesModelColumnInfoBuilder_ == null) {
return tablesModelColumnInfo_.size();
} else {
return tablesModelColumnInfoBuilder_.getCount();
}
}
/**
*
*
*
* Output only. Auxiliary information for each of the model's
*
* [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
* with respect to this particular prediction.
* If no other fields than
*
* [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
* and
*
* [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
* would be populated, then this whole field is not.
*
*
*
* repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;
*
*/
public com.google.cloud.automl.v1beta1.TablesModelColumnInfo getTablesModelColumnInfo(
int index) {
if (tablesModelColumnInfoBuilder_ == null) {
return tablesModelColumnInfo_.get(index);
} else {
return tablesModelColumnInfoBuilder_.getMessage(index);
}
}
/**
*
*
*
* Output only. Auxiliary information for each of the model's
*
* [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
* with respect to this particular prediction.
* If no other fields than
*
* [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
* and
*
* [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
* would be populated, then this whole field is not.
*
*
*
* repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;
*
*/
public Builder setTablesModelColumnInfo(
int index, com.google.cloud.automl.v1beta1.TablesModelColumnInfo value) {
if (tablesModelColumnInfoBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureTablesModelColumnInfoIsMutable();
tablesModelColumnInfo_.set(index, value);
onChanged();
} else {
tablesModelColumnInfoBuilder_.setMessage(index, value);
}
return this;
}
/**
*
*
*
* Output only. Auxiliary information for each of the model's
*
* [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
* with respect to this particular prediction.
* If no other fields than
*
* [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
* and
*
* [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
* would be populated, then this whole field is not.
*
*
*
* repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;
*
*/
public Builder setTablesModelColumnInfo(
int index, com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder builderForValue) {
if (tablesModelColumnInfoBuilder_ == null) {
ensureTablesModelColumnInfoIsMutable();
tablesModelColumnInfo_.set(index, builderForValue.build());
onChanged();
} else {
tablesModelColumnInfoBuilder_.setMessage(index, builderForValue.build());
}
return this;
}
/**
*
*
*
* Output only. Auxiliary information for each of the model's
*
* [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
* with respect to this particular prediction.
* If no other fields than
*
* [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
* and
*
* [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
* would be populated, then this whole field is not.
*
*
*
* repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;
*
*/
public Builder addTablesModelColumnInfo(
com.google.cloud.automl.v1beta1.TablesModelColumnInfo value) {
if (tablesModelColumnInfoBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureTablesModelColumnInfoIsMutable();
tablesModelColumnInfo_.add(value);
onChanged();
} else {
tablesModelColumnInfoBuilder_.addMessage(value);
}
return this;
}
/**
*
*
*
* Output only. Auxiliary information for each of the model's
*
* [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
* with respect to this particular prediction.
* If no other fields than
*
* [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
* and
*
* [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
* would be populated, then this whole field is not.
*
*
*
* repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;
*
*/
public Builder addTablesModelColumnInfo(
int index, com.google.cloud.automl.v1beta1.TablesModelColumnInfo value) {
if (tablesModelColumnInfoBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureTablesModelColumnInfoIsMutable();
tablesModelColumnInfo_.add(index, value);
onChanged();
} else {
tablesModelColumnInfoBuilder_.addMessage(index, value);
}
return this;
}
/**
*
*
*
* Output only. Auxiliary information for each of the model's
*
* [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
* with respect to this particular prediction.
* If no other fields than
*
* [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
* and
*
* [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
* would be populated, then this whole field is not.
*
*
*
* repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;
*
*/
public Builder addTablesModelColumnInfo(
com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder builderForValue) {
if (tablesModelColumnInfoBuilder_ == null) {
ensureTablesModelColumnInfoIsMutable();
tablesModelColumnInfo_.add(builderForValue.build());
onChanged();
} else {
tablesModelColumnInfoBuilder_.addMessage(builderForValue.build());
}
return this;
}
/**
*
*
*
* Output only. Auxiliary information for each of the model's
*
* [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
* with respect to this particular prediction.
* If no other fields than
*
* [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
* and
*
* [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
* would be populated, then this whole field is not.
*
*
*
* repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;
*
*/
public Builder addTablesModelColumnInfo(
int index, com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder builderForValue) {
if (tablesModelColumnInfoBuilder_ == null) {
ensureTablesModelColumnInfoIsMutable();
tablesModelColumnInfo_.add(index, builderForValue.build());
onChanged();
} else {
tablesModelColumnInfoBuilder_.addMessage(index, builderForValue.build());
}
return this;
}
/**
*
*
*
* Output only. Auxiliary information for each of the model's
*
* [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
* with respect to this particular prediction.
* If no other fields than
*
* [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
* and
*
* [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
* would be populated, then this whole field is not.
*
*
*
* repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;
*
*/
public Builder addAllTablesModelColumnInfo(
java.lang.Iterable
values) {
if (tablesModelColumnInfoBuilder_ == null) {
ensureTablesModelColumnInfoIsMutable();
com.google.protobuf.AbstractMessageLite.Builder.addAll(values, tablesModelColumnInfo_);
onChanged();
} else {
tablesModelColumnInfoBuilder_.addAllMessages(values);
}
return this;
}
/**
*
*
*
* Output only. Auxiliary information for each of the model's
*
* [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
* with respect to this particular prediction.
* If no other fields than
*
* [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
* and
*
* [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
* would be populated, then this whole field is not.
*
*
*
* repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;
*
*/
public Builder clearTablesModelColumnInfo() {
if (tablesModelColumnInfoBuilder_ == null) {
tablesModelColumnInfo_ = java.util.Collections.emptyList();
bitField0_ = (bitField0_ & ~0x00000008);
onChanged();
} else {
tablesModelColumnInfoBuilder_.clear();
}
return this;
}
/**
*
*
*
* Output only. Auxiliary information for each of the model's
*
* [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
* with respect to this particular prediction.
* If no other fields than
*
* [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
* and
*
* [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
* would be populated, then this whole field is not.
*
*
*
* repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;
*
*/
public Builder removeTablesModelColumnInfo(int index) {
if (tablesModelColumnInfoBuilder_ == null) {
ensureTablesModelColumnInfoIsMutable();
tablesModelColumnInfo_.remove(index);
onChanged();
} else {
tablesModelColumnInfoBuilder_.remove(index);
}
return this;
}
/**
*
*
*
* Output only. Auxiliary information for each of the model's
*
* [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
* with respect to this particular prediction.
* If no other fields than
*
* [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
* and
*
* [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
* would be populated, then this whole field is not.
*
*
*
* repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;
*
*/
public com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder
getTablesModelColumnInfoBuilder(int index) {
return getTablesModelColumnInfoFieldBuilder().getBuilder(index);
}
/**
*
*
*
* Output only. Auxiliary information for each of the model's
*
* [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
* with respect to this particular prediction.
* If no other fields than
*
* [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
* and
*
* [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
* would be populated, then this whole field is not.
*
*
*
* repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;
*
*/
public com.google.cloud.automl.v1beta1.TablesModelColumnInfoOrBuilder
getTablesModelColumnInfoOrBuilder(int index) {
if (tablesModelColumnInfoBuilder_ == null) {
return tablesModelColumnInfo_.get(index);
} else {
return tablesModelColumnInfoBuilder_.getMessageOrBuilder(index);
}
}
/**
*
*
*
* Output only. Auxiliary information for each of the model's
*
* [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
* with respect to this particular prediction.
* If no other fields than
*
* [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
* and
*
* [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
* would be populated, then this whole field is not.
*
*
*
* repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;
*
*/
public java.util.List
getTablesModelColumnInfoOrBuilderList() {
if (tablesModelColumnInfoBuilder_ != null) {
return tablesModelColumnInfoBuilder_.getMessageOrBuilderList();
} else {
return java.util.Collections.unmodifiableList(tablesModelColumnInfo_);
}
}
/**
*
*
*
* Output only. Auxiliary information for each of the model's
*
* [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
* with respect to this particular prediction.
* If no other fields than
*
* [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
* and
*
* [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
* would be populated, then this whole field is not.
*
*
*
* repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;
*
*/
public com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder
addTablesModelColumnInfoBuilder() {
return getTablesModelColumnInfoFieldBuilder()
.addBuilder(com.google.cloud.automl.v1beta1.TablesModelColumnInfo.getDefaultInstance());
}
/**
*
*
*
* Output only. Auxiliary information for each of the model's
*
* [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
* with respect to this particular prediction.
* If no other fields than
*
* [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
* and
*
* [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
* would be populated, then this whole field is not.
*
*
*
* repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;
*
*/
public com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder
addTablesModelColumnInfoBuilder(int index) {
return getTablesModelColumnInfoFieldBuilder()
.addBuilder(
index, com.google.cloud.automl.v1beta1.TablesModelColumnInfo.getDefaultInstance());
}
/**
*
*
*
* Output only. Auxiliary information for each of the model's
*
* [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
* with respect to this particular prediction.
* If no other fields than
*
* [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
* and
*
* [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
* would be populated, then this whole field is not.
*
*
*
* repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;
*
*/
public java.util.List
getTablesModelColumnInfoBuilderList() {
return getTablesModelColumnInfoFieldBuilder().getBuilderList();
}
private com.google.protobuf.RepeatedFieldBuilderV3<
com.google.cloud.automl.v1beta1.TablesModelColumnInfo,
com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder,
com.google.cloud.automl.v1beta1.TablesModelColumnInfoOrBuilder>
getTablesModelColumnInfoFieldBuilder() {
if (tablesModelColumnInfoBuilder_ == null) {
tablesModelColumnInfoBuilder_ =
new com.google.protobuf.RepeatedFieldBuilderV3<
com.google.cloud.automl.v1beta1.TablesModelColumnInfo,
com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder,
com.google.cloud.automl.v1beta1.TablesModelColumnInfoOrBuilder>(
tablesModelColumnInfo_,
((bitField0_ & 0x00000008) != 0),
getParentForChildren(),
isClean());
tablesModelColumnInfo_ = null;
}
return tablesModelColumnInfoBuilder_;
}
private float baselineScore_;
/**
*
*
*
* Output only. Stores the prediction score for the baseline example, which
* is defined as the example with all values set to their baseline values.
* This is used as part of the Sampled Shapley explanation of the model's
* prediction. This field is populated only when feature importance is
* requested. For regression models, this holds the baseline prediction for
* the baseline example. For classification models, this holds the baseline
* prediction for the baseline example for the argmax class.
*
*
* float baseline_score = 5;
*
* @return The baselineScore.
*/
@java.lang.Override
public float getBaselineScore() {
return baselineScore_;
}
/**
*
*
*
* Output only. Stores the prediction score for the baseline example, which
* is defined as the example with all values set to their baseline values.
* This is used as part of the Sampled Shapley explanation of the model's
* prediction. This field is populated only when feature importance is
* requested. For regression models, this holds the baseline prediction for
* the baseline example. For classification models, this holds the baseline
* prediction for the baseline example for the argmax class.
*
*
* float baseline_score = 5;
*
* @param value The baselineScore to set.
* @return This builder for chaining.
*/
public Builder setBaselineScore(float value) {
baselineScore_ = value;
bitField0_ |= 0x00000010;
onChanged();
return this;
}
/**
*
*
*
* Output only. Stores the prediction score for the baseline example, which
* is defined as the example with all values set to their baseline values.
* This is used as part of the Sampled Shapley explanation of the model's
* prediction. This field is populated only when feature importance is
* requested. For regression models, this holds the baseline prediction for
* the baseline example. For classification models, this holds the baseline
* prediction for the baseline example for the argmax class.
*
*
* float baseline_score = 5;
*
* @return This builder for chaining.
*/
public Builder clearBaselineScore() {
bitField0_ = (bitField0_ & ~0x00000010);
baselineScore_ = 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.TablesAnnotation)
}
// @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TablesAnnotation)
private static final com.google.cloud.automl.v1beta1.TablesAnnotation DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.TablesAnnotation();
}
public static com.google.cloud.automl.v1beta1.TablesAnnotation getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser PARSER =
new com.google.protobuf.AbstractParser() {
@java.lang.Override
public TablesAnnotation 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.TablesAnnotation getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}