# frozen_string_literal: true
# Generated by the protocol buffer compiler.  DO NOT EDIT!
# source: google/cloud/automl/v1beta1/tables.proto

require 'google/protobuf'

require 'google/cloud/automl/v1beta1/classification_pb'
require 'google/cloud/automl/v1beta1/column_spec_pb'
require 'google/cloud/automl/v1beta1/data_items_pb'
require 'google/cloud/automl/v1beta1/data_stats_pb'
require 'google/cloud/automl/v1beta1/ranges_pb'
require 'google/cloud/automl/v1beta1/regression_pb'
require 'google/cloud/automl/v1beta1/temporal_pb'
require 'google/protobuf/struct_pb'
require 'google/protobuf/timestamp_pb'


descriptor_data = "\n(google/cloud/automl/v1beta1/tables.proto\x12\x1bgoogle.cloud.automl.v1beta1\x1a\x30google/cloud/automl/v1beta1/classification.proto\x1a-google/cloud/automl/v1beta1/column_spec.proto\x1a,google/cloud/automl/v1beta1/data_items.proto\x1a,google/cloud/automl/v1beta1/data_stats.proto\x1a(google/cloud/automl/v1beta1/ranges.proto\x1a,google/cloud/automl/v1beta1/regression.proto\x1a*google/cloud/automl/v1beta1/temporal.proto\x1a\x1cgoogle/protobuf/struct.proto\x1a\x1fgoogle/protobuf/timestamp.proto\"\xb0\x03\n\x15TablesDatasetMetadata\x12\x1d\n\x15primary_table_spec_id\x18\x01 \x01(\t\x12\x1d\n\x15target_column_spec_id\x18\x02 \x01(\t\x12\x1d\n\x15weight_column_spec_id\x18\x03 \x01(\t\x12\x1d\n\x15ml_use_column_spec_id\x18\x04 \x01(\t\x12t\n\x1atarget_column_correlations\x18\x06 \x03(\x0b\x32P.google.cloud.automl.v1beta1.TablesDatasetMetadata.TargetColumnCorrelationsEntry\x12\x35\n\x11stats_update_time\x18\x07 \x01(\x0b\x32\x1a.google.protobuf.Timestamp\x1an\n\x1dTargetColumnCorrelationsEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12<\n\x05value\x18\x02 \x01(\x0b\x32-.google.cloud.automl.v1beta1.CorrelationStats:\x02\x38\x01\"\x96\x04\n\x13TablesModelMetadata\x12-\n#optimization_objective_recall_value\x18\x11 \x01(\x02H\x00\x12\x30\n&optimization_objective_precision_value\x18\x12 \x01(\x02H\x00\x12\x43\n\x12target_column_spec\x18\x02 \x01(\x0b\x32\'.google.cloud.automl.v1beta1.ColumnSpec\x12K\n\x1ainput_feature_column_specs\x18\x03 \x03(\x0b\x32\'.google.cloud.automl.v1beta1.ColumnSpec\x12\x1e\n\x16optimization_objective\x18\x04 \x01(\t\x12T\n\x18tables_model_column_info\x18\x05 \x03(\x0b\x32\x32.google.cloud.automl.v1beta1.TablesModelColumnInfo\x12%\n\x1dtrain_budget_milli_node_hours\x18\x06 \x01(\x03\x12#\n\x1btrain_cost_milli_node_hours\x18\x07 \x01(\x03\x12\x1e\n\x16\x64isable_early_stopping\x18\x0c \x01(\x08\x42*\n(additional_optimization_objective_config\"\xfd\x01\n\x10TablesAnnotation\x12\r\n\x05score\x18\x01 \x01(\x02\x12\x45\n\x13prediction_interval\x18\x04 \x01(\x0b\x32(.google.cloud.automl.v1beta1.DoubleRange\x12%\n\x05value\x18\x02 \x01(\x0b\x32\x16.google.protobuf.Value\x12T\n\x18tables_model_column_info\x18\x03 \x03(\x0b\x32\x32.google.cloud.automl.v1beta1.TablesModelColumnInfo\x12\x16\n\x0e\x62\x61seline_score\x18\x05 \x01(\x02\"j\n\x15TablesModelColumnInfo\x12\x18\n\x10\x63olumn_spec_name\x18\x01 \x01(\t\x12\x1b\n\x13\x63olumn_display_name\x18\x02 \x01(\t\x12\x1a\n\x12\x66\x65\x61ture_importance\x18\x03 \x01(\x02\x42\x9b\x01\n\x1f\x63om.google.cloud.automl.v1beta1P\x01Z7cloud.google.com/go/automl/apiv1beta1/automlpb;automlpb\xca\x02\x1bGoogle\\Cloud\\AutoMl\\V1beta1\xea\x02\x1eGoogle::Cloud::AutoML::V1beta1b\x06proto3"

pool = Google::Protobuf::DescriptorPool.generated_pool

begin
  pool.add_serialized_file(descriptor_data)
rescue TypeError
  # Compatibility code: will be removed in the next major version.
  require 'google/protobuf/descriptor_pb'
  parsed = Google::Protobuf::FileDescriptorProto.decode(descriptor_data)
  parsed.clear_dependency
  serialized = parsed.class.encode(parsed)
  file = pool.add_serialized_file(serialized)
  warn "Warning: Protobuf detected an import path issue while loading generated file #{__FILE__}"
  imports = [
    ["google.protobuf.Timestamp", "google/protobuf/timestamp.proto"],
    ["google.cloud.automl.v1beta1.CorrelationStats", "google/cloud/automl/v1beta1/data_stats.proto"],
    ["google.cloud.automl.v1beta1.ColumnSpec", "google/cloud/automl/v1beta1/column_spec.proto"],
    ["google.cloud.automl.v1beta1.DoubleRange", "google/cloud/automl/v1beta1/ranges.proto"],
    ["google.protobuf.Value", "google/protobuf/struct.proto"],
  ]
  imports.each do |type_name, expected_filename|
    import_file = pool.lookup(type_name).file_descriptor
    if import_file.name != expected_filename
      warn "- #{file.name} imports #{expected_filename}, but that import was loaded as #{import_file.name}"
    end
  end
  warn "Each proto file must use a consistent fully-qualified name."
  warn "This will become an error in the next major version."
end

module Google
  module Cloud
    module AutoML
      module V1beta1
        TablesDatasetMetadata = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.automl.v1beta1.TablesDatasetMetadata").msgclass
        TablesModelMetadata = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.automl.v1beta1.TablesModelMetadata").msgclass
        TablesAnnotation = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.automl.v1beta1.TablesAnnotation").msgclass
        TablesModelColumnInfo = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.automl.v1beta1.TablesModelColumnInfo").msgclass
      end
    end
  end
end