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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;
public final class Tables {
private Tables() {}
public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
}
static final com.google.protobuf.Descriptors.Descriptor
internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_descriptor;
static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_fieldAccessorTable;
static final com.google.protobuf.Descriptors.Descriptor
internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_TargetColumnCorrelationsEntry_descriptor;
static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_TargetColumnCorrelationsEntry_fieldAccessorTable;
static final com.google.protobuf.Descriptors.Descriptor
internal_static_google_cloud_automl_v1beta1_TablesModelMetadata_descriptor;
static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_google_cloud_automl_v1beta1_TablesModelMetadata_fieldAccessorTable;
static final com.google.protobuf.Descriptors.Descriptor
internal_static_google_cloud_automl_v1beta1_TablesAnnotation_descriptor;
static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_google_cloud_automl_v1beta1_TablesAnnotation_fieldAccessorTable;
static final com.google.protobuf.Descriptors.Descriptor
internal_static_google_cloud_automl_v1beta1_TablesModelColumnInfo_descriptor;
static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_google_cloud_automl_v1beta1_TablesModelColumnInfo_fieldAccessorTable;
public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
return descriptor;
}
private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
static {
java.lang.String[] descriptorData = {
"\n(google/cloud/automl/v1beta1/tables.pro"
+ "to\022\033google.cloud.automl.v1beta1\0320google/"
+ "cloud/automl/v1beta1/classification.prot"
+ "o\032-google/cloud/automl/v1beta1/column_sp"
+ "ec.proto\032,google/cloud/automl/v1beta1/da"
+ "ta_items.proto\032,google/cloud/automl/v1be"
+ "ta1/data_stats.proto\032(google/cloud/autom"
+ "l/v1beta1/ranges.proto\032,google/cloud/aut"
+ "oml/v1beta1/regression.proto\032*google/clo"
+ "ud/automl/v1beta1/temporal.proto\032\034google"
+ "/protobuf/struct.proto\032\037google/protobuf/"
+ "timestamp.proto\"\260\003\n\025TablesDatasetMetadat"
+ "a\022\035\n\025primary_table_spec_id\030\001 \001(\t\022\035\n\025targ"
+ "et_column_spec_id\030\002 \001(\t\022\035\n\025weight_column"
+ "_spec_id\030\003 \001(\t\022\035\n\025ml_use_column_spec_id\030"
+ "\004 \001(\t\022t\n\032target_column_correlations\030\006 \003("
+ "\0132P.google.cloud.automl.v1beta1.TablesDa"
+ "tasetMetadata.TargetColumnCorrelationsEn"
+ "try\0225\n\021stats_update_time\030\007 \001(\0132\032.google."
+ "protobuf.Timestamp\032n\n\035TargetColumnCorrel"
+ "ationsEntry\022\013\n\003key\030\001 \001(\t\022<\n\005value\030\002 \001(\0132"
+ "-.google.cloud.automl.v1beta1.Correlatio"
+ "nStats:\0028\001\"\226\004\n\023TablesModelMetadata\022-\n#op"
+ "timization_objective_recall_value\030\021 \001(\002H"
+ "\000\0220\n&optimization_objective_precision_va"
+ "lue\030\022 \001(\002H\000\022C\n\022target_column_spec\030\002 \001(\0132"
+ "\'.google.cloud.automl.v1beta1.ColumnSpec"
+ "\022K\n\032input_feature_column_specs\030\003 \003(\0132\'.g"
+ "oogle.cloud.automl.v1beta1.ColumnSpec\022\036\n"
+ "\026optimization_objective\030\004 \001(\t\022T\n\030tables_"
+ "model_column_info\030\005 \003(\01322.google.cloud.a"
+ "utoml.v1beta1.TablesModelColumnInfo\022%\n\035t"
+ "rain_budget_milli_node_hours\030\006 \001(\003\022#\n\033tr"
+ "ain_cost_milli_node_hours\030\007 \001(\003\022\036\n\026disab"
+ "le_early_stopping\030\014 \001(\010B*\n(additional_op"
+ "timization_objective_config\"\375\001\n\020TablesAn"
+ "notation\022\r\n\005score\030\001 \001(\002\022E\n\023prediction_in"
+ "terval\030\004 \001(\0132(.google.cloud.automl.v1bet"
+ "a1.DoubleRange\022%\n\005value\030\002 \001(\0132\026.google.p"
+ "rotobuf.Value\022T\n\030tables_model_column_inf"
+ "o\030\003 \003(\01322.google.cloud.automl.v1beta1.Ta"
+ "blesModelColumnInfo\022\026\n\016baseline_score\030\005 "
+ "\001(\002\"j\n\025TablesModelColumnInfo\022\030\n\020column_s"
+ "pec_name\030\001 \001(\t\022\033\n\023column_display_name\030\002 "
+ "\001(\t\022\032\n\022feature_importance\030\003 \001(\002B\233\001\n\037com."
+ "google.cloud.automl.v1beta1P\001Z7cloud.goo"
+ "gle.com/go/automl/apiv1beta1/automlpb;au"
+ "tomlpb\312\002\033Google\\Cloud\\AutoMl\\V1beta1\352\002\036G"
+ "oogle::Cloud::AutoML::V1beta1b\006proto3"
};
descriptor =
com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
descriptorData,
new com.google.protobuf.Descriptors.FileDescriptor[] {
com.google.cloud.automl.v1beta1.ClassificationProto.getDescriptor(),
com.google.cloud.automl.v1beta1.ColumnSpecOuterClass.getDescriptor(),
com.google.cloud.automl.v1beta1.DataItems.getDescriptor(),
com.google.cloud.automl.v1beta1.DataStatsOuterClass.getDescriptor(),
com.google.cloud.automl.v1beta1.RangesProto.getDescriptor(),
com.google.cloud.automl.v1beta1.RegressionProto.getDescriptor(),
com.google.cloud.automl.v1beta1.Temporal.getDescriptor(),
com.google.protobuf.StructProto.getDescriptor(),
com.google.protobuf.TimestampProto.getDescriptor(),
});
internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_descriptor =
getDescriptor().getMessageTypes().get(0);
internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_fieldAccessorTable =
new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_descriptor,
new java.lang.String[] {
"PrimaryTableSpecId",
"TargetColumnSpecId",
"WeightColumnSpecId",
"MlUseColumnSpecId",
"TargetColumnCorrelations",
"StatsUpdateTime",
});
internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_TargetColumnCorrelationsEntry_descriptor =
internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_descriptor
.getNestedTypes()
.get(0);
internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_TargetColumnCorrelationsEntry_fieldAccessorTable =
new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_google_cloud_automl_v1beta1_TablesDatasetMetadata_TargetColumnCorrelationsEntry_descriptor,
new java.lang.String[] {
"Key", "Value",
});
internal_static_google_cloud_automl_v1beta1_TablesModelMetadata_descriptor =
getDescriptor().getMessageTypes().get(1);
internal_static_google_cloud_automl_v1beta1_TablesModelMetadata_fieldAccessorTable =
new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_google_cloud_automl_v1beta1_TablesModelMetadata_descriptor,
new java.lang.String[] {
"OptimizationObjectiveRecallValue",
"OptimizationObjectivePrecisionValue",
"TargetColumnSpec",
"InputFeatureColumnSpecs",
"OptimizationObjective",
"TablesModelColumnInfo",
"TrainBudgetMilliNodeHours",
"TrainCostMilliNodeHours",
"DisableEarlyStopping",
"AdditionalOptimizationObjectiveConfig",
});
internal_static_google_cloud_automl_v1beta1_TablesAnnotation_descriptor =
getDescriptor().getMessageTypes().get(2);
internal_static_google_cloud_automl_v1beta1_TablesAnnotation_fieldAccessorTable =
new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_google_cloud_automl_v1beta1_TablesAnnotation_descriptor,
new java.lang.String[] {
"Score", "PredictionInterval", "Value", "TablesModelColumnInfo", "BaselineScore",
});
internal_static_google_cloud_automl_v1beta1_TablesModelColumnInfo_descriptor =
getDescriptor().getMessageTypes().get(3);
internal_static_google_cloud_automl_v1beta1_TablesModelColumnInfo_fieldAccessorTable =
new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_google_cloud_automl_v1beta1_TablesModelColumnInfo_descriptor,
new java.lang.String[] {
"ColumnSpecName", "ColumnDisplayName", "FeatureImportance",
});
com.google.cloud.automl.v1beta1.ClassificationProto.getDescriptor();
com.google.cloud.automl.v1beta1.ColumnSpecOuterClass.getDescriptor();
com.google.cloud.automl.v1beta1.DataItems.getDescriptor();
com.google.cloud.automl.v1beta1.DataStatsOuterClass.getDescriptor();
com.google.cloud.automl.v1beta1.RangesProto.getDescriptor();
com.google.cloud.automl.v1beta1.RegressionProto.getDescriptor();
com.google.cloud.automl.v1beta1.Temporal.getDescriptor();
com.google.protobuf.StructProto.getDescriptor();
com.google.protobuf.TimestampProto.getDescriptor();
}
// @@protoc_insertion_point(outer_class_scope)
}