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PROTO library for proto-google-cloud-automl-v1
/*
* 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/v1/classification.proto
// Protobuf Java Version: 3.25.4
package com.google.cloud.automl.v1;
public final class ClassificationProto {
private ClassificationProto() {}
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_v1_ClassificationAnnotation_descriptor;
static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_google_cloud_automl_v1_ClassificationAnnotation_fieldAccessorTable;
static final com.google.protobuf.Descriptors.Descriptor
internal_static_google_cloud_automl_v1_ClassificationEvaluationMetrics_descriptor;
static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_google_cloud_automl_v1_ClassificationEvaluationMetrics_fieldAccessorTable;
static final com.google.protobuf.Descriptors.Descriptor
internal_static_google_cloud_automl_v1_ClassificationEvaluationMetrics_ConfidenceMetricsEntry_descriptor;
static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_google_cloud_automl_v1_ClassificationEvaluationMetrics_ConfidenceMetricsEntry_fieldAccessorTable;
static final com.google.protobuf.Descriptors.Descriptor
internal_static_google_cloud_automl_v1_ClassificationEvaluationMetrics_ConfusionMatrix_descriptor;
static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_google_cloud_automl_v1_ClassificationEvaluationMetrics_ConfusionMatrix_fieldAccessorTable;
static final com.google.protobuf.Descriptors.Descriptor
internal_static_google_cloud_automl_v1_ClassificationEvaluationMetrics_ConfusionMatrix_Row_descriptor;
static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_google_cloud_automl_v1_ClassificationEvaluationMetrics_ConfusionMatrix_Row_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/v1/classification."
+ "proto\022\026google.cloud.automl.v1\")\n\030Classif"
+ "icationAnnotation\022\r\n\005score\030\001 \001(\002\"\201\007\n\037Cla"
+ "ssificationEvaluationMetrics\022\016\n\006au_prc\030\001"
+ " \001(\002\022\016\n\006au_roc\030\006 \001(\002\022\020\n\010log_loss\030\007 \001(\002\022p"
+ "\n\030confidence_metrics_entry\030\003 \003(\0132N.googl"
+ "e.cloud.automl.v1.ClassificationEvaluati"
+ "onMetrics.ConfidenceMetricsEntry\022a\n\020conf"
+ "usion_matrix\030\004 \001(\0132G.google.cloud.automl"
+ ".v1.ClassificationEvaluationMetrics.Conf"
+ "usionMatrix\022\032\n\022annotation_spec_id\030\005 \003(\t\032"
+ "\374\002\n\026ConfidenceMetricsEntry\022\034\n\024confidence"
+ "_threshold\030\001 \001(\002\022\032\n\022position_threshold\030\016"
+ " \001(\005\022\016\n\006recall\030\002 \001(\002\022\021\n\tprecision\030\003 \001(\002\022"
+ "\033\n\023false_positive_rate\030\010 \001(\002\022\020\n\010f1_score"
+ "\030\004 \001(\002\022\022\n\nrecall_at1\030\005 \001(\002\022\025\n\rprecision_"
+ "at1\030\006 \001(\002\022\037\n\027false_positive_rate_at1\030\t \001"
+ "(\002\022\024\n\014f1_score_at1\030\007 \001(\002\022\033\n\023true_positiv"
+ "e_count\030\n \001(\003\022\034\n\024false_positive_count\030\013 "
+ "\001(\003\022\034\n\024false_negative_count\030\014 \001(\003\022\033\n\023tru"
+ "e_negative_count\030\r \001(\003\032\273\001\n\017ConfusionMatr"
+ "ix\022\032\n\022annotation_spec_id\030\001 \003(\t\022\024\n\014displa"
+ "y_name\030\003 \003(\t\022X\n\003row\030\002 \003(\0132K.google.cloud"
+ ".automl.v1.ClassificationEvaluationMetri"
+ "cs.ConfusionMatrix.Row\032\034\n\003Row\022\025\n\rexample"
+ "_count\030\001 \003(\005*Y\n\022ClassificationType\022#\n\037CL"
+ "ASSIFICATION_TYPE_UNSPECIFIED\020\000\022\016\n\nMULTI"
+ "CLASS\020\001\022\016\n\nMULTILABEL\020\002B\265\001\n\032com.google.c"
+ "loud.automl.v1B\023ClassificationProtoP\001Z2c"
+ "loud.google.com/go/automl/apiv1/automlpb"
+ ";automlpb\252\002\026Google.Cloud.AutoML.V1\312\002\026Goo"
+ "gle\\Cloud\\AutoMl\\V1\352\002\031Google::Cloud::Aut"
+ "oML::V1b\006proto3"
};
descriptor =
com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
descriptorData, new com.google.protobuf.Descriptors.FileDescriptor[] {});
internal_static_google_cloud_automl_v1_ClassificationAnnotation_descriptor =
getDescriptor().getMessageTypes().get(0);
internal_static_google_cloud_automl_v1_ClassificationAnnotation_fieldAccessorTable =
new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_google_cloud_automl_v1_ClassificationAnnotation_descriptor,
new java.lang.String[] {
"Score",
});
internal_static_google_cloud_automl_v1_ClassificationEvaluationMetrics_descriptor =
getDescriptor().getMessageTypes().get(1);
internal_static_google_cloud_automl_v1_ClassificationEvaluationMetrics_fieldAccessorTable =
new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_google_cloud_automl_v1_ClassificationEvaluationMetrics_descriptor,
new java.lang.String[] {
"AuPrc",
"AuRoc",
"LogLoss",
"ConfidenceMetricsEntry",
"ConfusionMatrix",
"AnnotationSpecId",
});
internal_static_google_cloud_automl_v1_ClassificationEvaluationMetrics_ConfidenceMetricsEntry_descriptor =
internal_static_google_cloud_automl_v1_ClassificationEvaluationMetrics_descriptor
.getNestedTypes()
.get(0);
internal_static_google_cloud_automl_v1_ClassificationEvaluationMetrics_ConfidenceMetricsEntry_fieldAccessorTable =
new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_google_cloud_automl_v1_ClassificationEvaluationMetrics_ConfidenceMetricsEntry_descriptor,
new java.lang.String[] {
"ConfidenceThreshold",
"PositionThreshold",
"Recall",
"Precision",
"FalsePositiveRate",
"F1Score",
"RecallAt1",
"PrecisionAt1",
"FalsePositiveRateAt1",
"F1ScoreAt1",
"TruePositiveCount",
"FalsePositiveCount",
"FalseNegativeCount",
"TrueNegativeCount",
});
internal_static_google_cloud_automl_v1_ClassificationEvaluationMetrics_ConfusionMatrix_descriptor =
internal_static_google_cloud_automl_v1_ClassificationEvaluationMetrics_descriptor
.getNestedTypes()
.get(1);
internal_static_google_cloud_automl_v1_ClassificationEvaluationMetrics_ConfusionMatrix_fieldAccessorTable =
new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_google_cloud_automl_v1_ClassificationEvaluationMetrics_ConfusionMatrix_descriptor,
new java.lang.String[] {
"AnnotationSpecId", "DisplayName", "Row",
});
internal_static_google_cloud_automl_v1_ClassificationEvaluationMetrics_ConfusionMatrix_Row_descriptor =
internal_static_google_cloud_automl_v1_ClassificationEvaluationMetrics_ConfusionMatrix_descriptor
.getNestedTypes()
.get(0);
internal_static_google_cloud_automl_v1_ClassificationEvaluationMetrics_ConfusionMatrix_Row_fieldAccessorTable =
new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_google_cloud_automl_v1_ClassificationEvaluationMetrics_ConfusionMatrix_Row_descriptor,
new java.lang.String[] {
"ExampleCount",
});
}
// @@protoc_insertion_point(outer_class_scope)
}