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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: 3.25.3
package com.google.cloud.automl.v1beta1;
/**
*
*
*
* An information specific to given column and Tables Model, in context
* of the Model and the predictions created by it.
*
*
* Protobuf type {@code google.cloud.automl.v1beta1.TablesModelColumnInfo}
*/
public final class TablesModelColumnInfo extends com.google.protobuf.GeneratedMessageV3
implements
// @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TablesModelColumnInfo)
TablesModelColumnInfoOrBuilder {
private static final long serialVersionUID = 0L;
// Use TablesModelColumnInfo.newBuilder() to construct.
private TablesModelColumnInfo(com.google.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private TablesModelColumnInfo() {
columnSpecName_ = "";
columnDisplayName_ = "";
}
@java.lang.Override
@SuppressWarnings({"unused"})
protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
return new TablesModelColumnInfo();
}
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
return com.google.cloud.automl.v1beta1.Tables
.internal_static_google_cloud_automl_v1beta1_TablesModelColumnInfo_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return com.google.cloud.automl.v1beta1.Tables
.internal_static_google_cloud_automl_v1beta1_TablesModelColumnInfo_fieldAccessorTable
.ensureFieldAccessorsInitialized(
com.google.cloud.automl.v1beta1.TablesModelColumnInfo.class,
com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder.class);
}
public static final int COLUMN_SPEC_NAME_FIELD_NUMBER = 1;
@SuppressWarnings("serial")
private volatile java.lang.Object columnSpecName_ = "";
/**
*
*
*
* Output only. The name of the ColumnSpec describing the column. Not
* populated when this proto is outputted to BigQuery.
*
*
* string column_spec_name = 1;
*
* @return The columnSpecName.
*/
@java.lang.Override
public java.lang.String getColumnSpecName() {
java.lang.Object ref = columnSpecName_;
if (ref instanceof java.lang.String) {
return (java.lang.String) ref;
} else {
com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
columnSpecName_ = s;
return s;
}
}
/**
*
*
*
* Output only. The name of the ColumnSpec describing the column. Not
* populated when this proto is outputted to BigQuery.
*
*
* string column_spec_name = 1;
*
* @return The bytes for columnSpecName.
*/
@java.lang.Override
public com.google.protobuf.ByteString getColumnSpecNameBytes() {
java.lang.Object ref = columnSpecName_;
if (ref instanceof java.lang.String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
columnSpecName_ = b;
return b;
} else {
return (com.google.protobuf.ByteString) ref;
}
}
public static final int COLUMN_DISPLAY_NAME_FIELD_NUMBER = 2;
@SuppressWarnings("serial")
private volatile java.lang.Object columnDisplayName_ = "";
/**
*
*
*
* Output only. The display name of the column (same as the display_name of
* its ColumnSpec).
*
*
* string column_display_name = 2;
*
* @return The columnDisplayName.
*/
@java.lang.Override
public java.lang.String getColumnDisplayName() {
java.lang.Object ref = columnDisplayName_;
if (ref instanceof java.lang.String) {
return (java.lang.String) ref;
} else {
com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
columnDisplayName_ = s;
return s;
}
}
/**
*
*
*
* Output only. The display name of the column (same as the display_name of
* its ColumnSpec).
*
*
* string column_display_name = 2;
*
* @return The bytes for columnDisplayName.
*/
@java.lang.Override
public com.google.protobuf.ByteString getColumnDisplayNameBytes() {
java.lang.Object ref = columnDisplayName_;
if (ref instanceof java.lang.String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
columnDisplayName_ = b;
return b;
} else {
return (com.google.protobuf.ByteString) ref;
}
}
public static final int FEATURE_IMPORTANCE_FIELD_NUMBER = 3;
private float featureImportance_ = 0F;
/**
*
*
*
* Output only. When given as part of a Model (always populated):
* Measurement of how much model predictions correctness on the TEST data
* depend on values in this column. A value between 0 and 1, higher means
* higher influence. These values are normalized - for all input feature
* columns of a given model they add to 1.
*
* When given back by Predict (populated iff
* [feature_importance
* param][google.cloud.automl.v1beta1.PredictRequest.params] is set) or Batch
* Predict (populated iff
* [feature_importance][google.cloud.automl.v1beta1.PredictRequest.params]
* param is set):
* Measurement of how impactful for the prediction returned for the given row
* the value in this column was. Specifically, the feature importance
* specifies the marginal contribution that the feature made to the prediction
* score compared to the baseline score. These values are computed using the
* Sampled Shapley method.
*
*
* float feature_importance = 3;
*
* @return The featureImportance.
*/
@java.lang.Override
public float getFeatureImportance() {
return featureImportance_;
}
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 (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(columnSpecName_)) {
com.google.protobuf.GeneratedMessageV3.writeString(output, 1, columnSpecName_);
}
if (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(columnDisplayName_)) {
com.google.protobuf.GeneratedMessageV3.writeString(output, 2, columnDisplayName_);
}
if (java.lang.Float.floatToRawIntBits(featureImportance_) != 0) {
output.writeFloat(3, featureImportance_);
}
getUnknownFields().writeTo(output);
}
@java.lang.Override
public int getSerializedSize() {
int size = memoizedSize;
if (size != -1) return size;
size = 0;
if (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(columnSpecName_)) {
size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, columnSpecName_);
}
if (!com.google.protobuf.GeneratedMessageV3.isStringEmpty(columnDisplayName_)) {
size += com.google.protobuf.GeneratedMessageV3.computeStringSize(2, columnDisplayName_);
}
if (java.lang.Float.floatToRawIntBits(featureImportance_) != 0) {
size += com.google.protobuf.CodedOutputStream.computeFloatSize(3, featureImportance_);
}
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.TablesModelColumnInfo)) {
return super.equals(obj);
}
com.google.cloud.automl.v1beta1.TablesModelColumnInfo other =
(com.google.cloud.automl.v1beta1.TablesModelColumnInfo) obj;
if (!getColumnSpecName().equals(other.getColumnSpecName())) return false;
if (!getColumnDisplayName().equals(other.getColumnDisplayName())) return false;
if (java.lang.Float.floatToIntBits(getFeatureImportance())
!= java.lang.Float.floatToIntBits(other.getFeatureImportance())) 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) + COLUMN_SPEC_NAME_FIELD_NUMBER;
hash = (53 * hash) + getColumnSpecName().hashCode();
hash = (37 * hash) + COLUMN_DISPLAY_NAME_FIELD_NUMBER;
hash = (53 * hash) + getColumnDisplayName().hashCode();
hash = (37 * hash) + FEATURE_IMPORTANCE_FIELD_NUMBER;
hash = (53 * hash) + java.lang.Float.floatToIntBits(getFeatureImportance());
hash = (29 * hash) + getUnknownFields().hashCode();
memoizedHashCode = hash;
return hash;
}
public static com.google.cloud.automl.v1beta1.TablesModelColumnInfo parseFrom(
java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.automl.v1beta1.TablesModelColumnInfo 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.TablesModelColumnInfo parseFrom(
com.google.protobuf.ByteString data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.automl.v1beta1.TablesModelColumnInfo 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.TablesModelColumnInfo parseFrom(byte[] data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.automl.v1beta1.TablesModelColumnInfo 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.TablesModelColumnInfo parseFrom(
java.io.InputStream input) throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
}
public static com.google.cloud.automl.v1beta1.TablesModelColumnInfo 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.TablesModelColumnInfo parseDelimitedFrom(
java.io.InputStream input) throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
}
public static com.google.cloud.automl.v1beta1.TablesModelColumnInfo 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.TablesModelColumnInfo 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.TablesModelColumnInfo 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.TablesModelColumnInfo 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;
}
/**
*
*
*
* An information specific to given column and Tables Model, in context
* of the Model and the predictions created by it.
*
*
* Protobuf type {@code google.cloud.automl.v1beta1.TablesModelColumnInfo}
*/
public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
implements
// @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TablesModelColumnInfo)
com.google.cloud.automl.v1beta1.TablesModelColumnInfoOrBuilder {
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
return com.google.cloud.automl.v1beta1.Tables
.internal_static_google_cloud_automl_v1beta1_TablesModelColumnInfo_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return com.google.cloud.automl.v1beta1.Tables
.internal_static_google_cloud_automl_v1beta1_TablesModelColumnInfo_fieldAccessorTable
.ensureFieldAccessorsInitialized(
com.google.cloud.automl.v1beta1.TablesModelColumnInfo.class,
com.google.cloud.automl.v1beta1.TablesModelColumnInfo.Builder.class);
}
// Construct using com.google.cloud.automl.v1beta1.TablesModelColumnInfo.newBuilder()
private Builder() {}
private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
super(parent);
}
@java.lang.Override
public Builder clear() {
super.clear();
bitField0_ = 0;
columnSpecName_ = "";
columnDisplayName_ = "";
featureImportance_ = 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_TablesModelColumnInfo_descriptor;
}
@java.lang.Override
public com.google.cloud.automl.v1beta1.TablesModelColumnInfo getDefaultInstanceForType() {
return com.google.cloud.automl.v1beta1.TablesModelColumnInfo.getDefaultInstance();
}
@java.lang.Override
public com.google.cloud.automl.v1beta1.TablesModelColumnInfo build() {
com.google.cloud.automl.v1beta1.TablesModelColumnInfo result = buildPartial();
if (!result.isInitialized()) {
throw newUninitializedMessageException(result);
}
return result;
}
@java.lang.Override
public com.google.cloud.automl.v1beta1.TablesModelColumnInfo buildPartial() {
com.google.cloud.automl.v1beta1.TablesModelColumnInfo result =
new com.google.cloud.automl.v1beta1.TablesModelColumnInfo(this);
if (bitField0_ != 0) {
buildPartial0(result);
}
onBuilt();
return result;
}
private void buildPartial0(com.google.cloud.automl.v1beta1.TablesModelColumnInfo result) {
int from_bitField0_ = bitField0_;
if (((from_bitField0_ & 0x00000001) != 0)) {
result.columnSpecName_ = columnSpecName_;
}
if (((from_bitField0_ & 0x00000002) != 0)) {
result.columnDisplayName_ = columnDisplayName_;
}
if (((from_bitField0_ & 0x00000004) != 0)) {
result.featureImportance_ = featureImportance_;
}
}
@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.TablesModelColumnInfo) {
return mergeFrom((com.google.cloud.automl.v1beta1.TablesModelColumnInfo) other);
} else {
super.mergeFrom(other);
return this;
}
}
public Builder mergeFrom(com.google.cloud.automl.v1beta1.TablesModelColumnInfo other) {
if (other == com.google.cloud.automl.v1beta1.TablesModelColumnInfo.getDefaultInstance())
return this;
if (!other.getColumnSpecName().isEmpty()) {
columnSpecName_ = other.columnSpecName_;
bitField0_ |= 0x00000001;
onChanged();
}
if (!other.getColumnDisplayName().isEmpty()) {
columnDisplayName_ = other.columnDisplayName_;
bitField0_ |= 0x00000002;
onChanged();
}
if (other.getFeatureImportance() != 0F) {
setFeatureImportance(other.getFeatureImportance());
}
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 10:
{
columnSpecName_ = input.readStringRequireUtf8();
bitField0_ |= 0x00000001;
break;
} // case 10
case 18:
{
columnDisplayName_ = input.readStringRequireUtf8();
bitField0_ |= 0x00000002;
break;
} // case 18
case 29:
{
featureImportance_ = input.readFloat();
bitField0_ |= 0x00000004;
break;
} // case 29
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 java.lang.Object columnSpecName_ = "";
/**
*
*
*
* Output only. The name of the ColumnSpec describing the column. Not
* populated when this proto is outputted to BigQuery.
*
*
* string column_spec_name = 1;
*
* @return The columnSpecName.
*/
public java.lang.String getColumnSpecName() {
java.lang.Object ref = columnSpecName_;
if (!(ref instanceof java.lang.String)) {
com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
columnSpecName_ = s;
return s;
} else {
return (java.lang.String) ref;
}
}
/**
*
*
*
* Output only. The name of the ColumnSpec describing the column. Not
* populated when this proto is outputted to BigQuery.
*
*
* string column_spec_name = 1;
*
* @return The bytes for columnSpecName.
*/
public com.google.protobuf.ByteString getColumnSpecNameBytes() {
java.lang.Object ref = columnSpecName_;
if (ref instanceof String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
columnSpecName_ = b;
return b;
} else {
return (com.google.protobuf.ByteString) ref;
}
}
/**
*
*
*
* Output only. The name of the ColumnSpec describing the column. Not
* populated when this proto is outputted to BigQuery.
*
*
* string column_spec_name = 1;
*
* @param value The columnSpecName to set.
* @return This builder for chaining.
*/
public Builder setColumnSpecName(java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
columnSpecName_ = value;
bitField0_ |= 0x00000001;
onChanged();
return this;
}
/**
*
*
*
* Output only. The name of the ColumnSpec describing the column. Not
* populated when this proto is outputted to BigQuery.
*
*
* string column_spec_name = 1;
*
* @return This builder for chaining.
*/
public Builder clearColumnSpecName() {
columnSpecName_ = getDefaultInstance().getColumnSpecName();
bitField0_ = (bitField0_ & ~0x00000001);
onChanged();
return this;
}
/**
*
*
*
* Output only. The name of the ColumnSpec describing the column. Not
* populated when this proto is outputted to BigQuery.
*
*
* string column_spec_name = 1;
*
* @param value The bytes for columnSpecName to set.
* @return This builder for chaining.
*/
public Builder setColumnSpecNameBytes(com.google.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
}
checkByteStringIsUtf8(value);
columnSpecName_ = value;
bitField0_ |= 0x00000001;
onChanged();
return this;
}
private java.lang.Object columnDisplayName_ = "";
/**
*
*
*
* Output only. The display name of the column (same as the display_name of
* its ColumnSpec).
*
*
* string column_display_name = 2;
*
* @return The columnDisplayName.
*/
public java.lang.String getColumnDisplayName() {
java.lang.Object ref = columnDisplayName_;
if (!(ref instanceof java.lang.String)) {
com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
columnDisplayName_ = s;
return s;
} else {
return (java.lang.String) ref;
}
}
/**
*
*
*
* Output only. The display name of the column (same as the display_name of
* its ColumnSpec).
*
*
* string column_display_name = 2;
*
* @return The bytes for columnDisplayName.
*/
public com.google.protobuf.ByteString getColumnDisplayNameBytes() {
java.lang.Object ref = columnDisplayName_;
if (ref instanceof String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
columnDisplayName_ = b;
return b;
} else {
return (com.google.protobuf.ByteString) ref;
}
}
/**
*
*
*
* Output only. The display name of the column (same as the display_name of
* its ColumnSpec).
*
*
* string column_display_name = 2;
*
* @param value The columnDisplayName to set.
* @return This builder for chaining.
*/
public Builder setColumnDisplayName(java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
columnDisplayName_ = value;
bitField0_ |= 0x00000002;
onChanged();
return this;
}
/**
*
*
*
* Output only. The display name of the column (same as the display_name of
* its ColumnSpec).
*
*
* string column_display_name = 2;
*
* @return This builder for chaining.
*/
public Builder clearColumnDisplayName() {
columnDisplayName_ = getDefaultInstance().getColumnDisplayName();
bitField0_ = (bitField0_ & ~0x00000002);
onChanged();
return this;
}
/**
*
*
*
* Output only. The display name of the column (same as the display_name of
* its ColumnSpec).
*
*
* string column_display_name = 2;
*
* @param value The bytes for columnDisplayName to set.
* @return This builder for chaining.
*/
public Builder setColumnDisplayNameBytes(com.google.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
}
checkByteStringIsUtf8(value);
columnDisplayName_ = value;
bitField0_ |= 0x00000002;
onChanged();
return this;
}
private float featureImportance_;
/**
*
*
*
* Output only. When given as part of a Model (always populated):
* Measurement of how much model predictions correctness on the TEST data
* depend on values in this column. A value between 0 and 1, higher means
* higher influence. These values are normalized - for all input feature
* columns of a given model they add to 1.
*
* When given back by Predict (populated iff
* [feature_importance
* param][google.cloud.automl.v1beta1.PredictRequest.params] is set) or Batch
* Predict (populated iff
* [feature_importance][google.cloud.automl.v1beta1.PredictRequest.params]
* param is set):
* Measurement of how impactful for the prediction returned for the given row
* the value in this column was. Specifically, the feature importance
* specifies the marginal contribution that the feature made to the prediction
* score compared to the baseline score. These values are computed using the
* Sampled Shapley method.
*
*
* float feature_importance = 3;
*
* @return The featureImportance.
*/
@java.lang.Override
public float getFeatureImportance() {
return featureImportance_;
}
/**
*
*
*
* Output only. When given as part of a Model (always populated):
* Measurement of how much model predictions correctness on the TEST data
* depend on values in this column. A value between 0 and 1, higher means
* higher influence. These values are normalized - for all input feature
* columns of a given model they add to 1.
*
* When given back by Predict (populated iff
* [feature_importance
* param][google.cloud.automl.v1beta1.PredictRequest.params] is set) or Batch
* Predict (populated iff
* [feature_importance][google.cloud.automl.v1beta1.PredictRequest.params]
* param is set):
* Measurement of how impactful for the prediction returned for the given row
* the value in this column was. Specifically, the feature importance
* specifies the marginal contribution that the feature made to the prediction
* score compared to the baseline score. These values are computed using the
* Sampled Shapley method.
*
*
* float feature_importance = 3;
*
* @param value The featureImportance to set.
* @return This builder for chaining.
*/
public Builder setFeatureImportance(float value) {
featureImportance_ = value;
bitField0_ |= 0x00000004;
onChanged();
return this;
}
/**
*
*
*
* Output only. When given as part of a Model (always populated):
* Measurement of how much model predictions correctness on the TEST data
* depend on values in this column. A value between 0 and 1, higher means
* higher influence. These values are normalized - for all input feature
* columns of a given model they add to 1.
*
* When given back by Predict (populated iff
* [feature_importance
* param][google.cloud.automl.v1beta1.PredictRequest.params] is set) or Batch
* Predict (populated iff
* [feature_importance][google.cloud.automl.v1beta1.PredictRequest.params]
* param is set):
* Measurement of how impactful for the prediction returned for the given row
* the value in this column was. Specifically, the feature importance
* specifies the marginal contribution that the feature made to the prediction
* score compared to the baseline score. These values are computed using the
* Sampled Shapley method.
*
*
* float feature_importance = 3;
*
* @return This builder for chaining.
*/
public Builder clearFeatureImportance() {
bitField0_ = (bitField0_ & ~0x00000004);
featureImportance_ = 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.TablesModelColumnInfo)
}
// @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TablesModelColumnInfo)
private static final com.google.cloud.automl.v1beta1.TablesModelColumnInfo DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.TablesModelColumnInfo();
}
public static com.google.cloud.automl.v1beta1.TablesModelColumnInfo getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser PARSER =
new com.google.protobuf.AbstractParser() {
@java.lang.Override
public TablesModelColumnInfo 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.TablesModelColumnInfo getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}