Autogenerated update (2018-07-10)
Update: - adexchangebuyer_v1_2 - adexchangebuyer_v1_3 - adexchangebuyer_v1_4 - adexchangeseller_v1 - adexchangeseller_v1_1 - adexchangeseller_v2_0 - admin_datatransfer_v1 - admin_directory_v1 - admin_reports_v1 - adsense_v1_4 - adsensehost_v4_1 - analytics_v2_4 - analytics_v3 - androidenterprise_v1 - androidmanagement_v1 - androidpublisher_v1 - androidpublisher_v1_1 - androidpublisher_v2 - androidpublisher_v3 - appsactivity_v1 - appstate_v1 - bigquery_v2 - blogger_v2 - blogger_v3 - books_v1 - calendar_v3 - civicinfo_v2 - cloudiot_v1 - compute_alpha - compute_beta - compute_v1 - content_v2sandbox - customsearch_v1 - deploymentmanager_alpha - deploymentmanager_v2 - deploymentmanager_v2beta - dfareporting_v2_8 - dfareporting_v3_0 - dfareporting_v3_1 - dns_v1 - dns_v1beta2 - dns_v2beta1 - doubleclickbidmanager_v1 - doubleclicksearch_v2 - drive_v2 - drive_v3 - fitness_v1 - fusiontables_v1 - fusiontables_v2 - games_configuration_v1configuration - games_management_v1management - games_v1 - gmail_v1 - groupsmigration_v1 - groupssettings_v1 - identitytoolkit_v3 - licensing_v1 - mirror_v1 - oauth2_v1 - oauth2_v2 - pagespeedonline_v1 - pagespeedonline_v2 - pagespeedonline_v4 - playcustomapp_v1 - plus_domains_v1 - plus_v1 - replicapool_v1beta1 - replicapoolupdater_v1beta1 - reseller_v1 - script_v1 - site_verification_v1 - slides_v1 - spectrum_v1explorer - sqladmin_v1beta4 - storage_v1 - storage_v1beta1 - storage_v1beta2 - surveys_v2 - tagmanager_v1 - tagmanager_v2 - tasks_v1 - toolresults_v1beta3 - urlshortener_v1 - webfonts_v1 - webmasters_v3 - youtube_analytics_v1 - youtube_analytics_v1beta1 - youtube_v3
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@@ -314,6 +314,22 @@ module Google
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# @return [Google::Apis::BigqueryV2::DatasetReference]
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attr_accessor :dataset_reference
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# [Optional] The default partition expiration for all partitioned tables in the
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# dataset, in milliseconds. Once this property is set, all newly-created
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# partitioned tables in the dataset will have an expirationMs property in the
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# timePartitioning settings set to this value, and changing the value will only
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# affect new tables, not existing ones. The storage in a partition will have an
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# expiration time of its partition time plus this value. Setting this property
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# overrides the use of defaultTableExpirationMs for partitioned tables: only one
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# of defaultTableExpirationMs and defaultPartitionExpirationMs will be used for
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# any new partitioned table. If you provide an explicit timePartitioning.
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# expirationMs when creating or updating a partitioned table, that value takes
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# precedence over the default partition expiration time indicated by this
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# property.
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# Corresponds to the JSON property `defaultPartitionExpirationMs`
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# @return [Fixnum]
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attr_accessor :default_partition_expiration_ms
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# [Optional] The default lifetime of all tables in the dataset, in milliseconds.
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# The minimum value is 3600000 milliseconds (one hour). Once this property is
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# set, all newly-created tables in the dataset will have an expirationTime
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@@ -390,6 +406,7 @@ module Google
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@access = args[:access] if args.key?(:access)
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@creation_time = args[:creation_time] if args.key?(:creation_time)
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@dataset_reference = args[:dataset_reference] if args.key?(:dataset_reference)
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@default_partition_expiration_ms = args[:default_partition_expiration_ms] if args.key?(:default_partition_expiration_ms)
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@default_table_expiration_ms = args[:default_table_expiration_ms] if args.key?(:default_table_expiration_ms)
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@description = args[:description] if args.key?(:description)
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@etag = args[:etag] if args.key?(:etag)
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@@ -1148,6 +1165,55 @@ module Google
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end
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end
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#
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class IterationResult
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include Google::Apis::Core::Hashable
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# [Output-only, Beta] Time taken to run the training iteration in milliseconds.
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# Corresponds to the JSON property `durationMs`
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# @return [Fixnum]
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attr_accessor :duration_ms
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# [Output-only, Beta] Eval loss computed on the eval data at the end of the
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# iteration. The eval loss is used for early stopping to avoid overfitting. No
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# eval loss if eval_split_method option is specified as no_split or auto_split
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# with input data size less than 500 rows.
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# Corresponds to the JSON property `evalLoss`
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# @return [Float]
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attr_accessor :eval_loss
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# [Output-only, Beta] Index of the ML training iteration, starting from zero for
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# each training run.
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# Corresponds to the JSON property `index`
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# @return [Fixnum]
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attr_accessor :index
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# [Output-only, Beta] Learning rate used for this iteration, it varies for
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# different training iterations if learn_rate_strategy option is not constant.
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# Corresponds to the JSON property `learnRate`
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# @return [Float]
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attr_accessor :learn_rate
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# [Output-only, Beta] Training loss computed on the training data at the end of
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# the iteration. The training loss function is defined by model type.
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# Corresponds to the JSON property `trainingLoss`
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# @return [Float]
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attr_accessor :training_loss
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def initialize(**args)
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update!(**args)
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end
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# Update properties of this object
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def update!(**args)
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@duration_ms = args[:duration_ms] if args.key?(:duration_ms)
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@eval_loss = args[:eval_loss] if args.key?(:eval_loss)
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@index = args[:index] if args.key?(:index)
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@learn_rate = args[:learn_rate] if args.key?(:learn_rate)
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@training_loss = args[:training_loss] if args.key?(:training_loss)
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end
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end
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#
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class Job
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include Google::Apis::Core::Hashable
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@@ -2105,6 +2171,19 @@ module Google
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# @return [Fixnum]
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attr_accessor :estimated_bytes_processed
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# [Output-only, Beta] Index of current ML training iteration. Updated during
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# create model query job to show job progress.
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# Corresponds to the JSON property `modelTrainingCurrentIteration`
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# @return [Fixnum]
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attr_accessor :model_training_current_iteration
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# [Output-only, Beta] Expected number of iterations for the create model query
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# job specified as num_iterations in the input query. The actual total number of
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# iterations may be less than this number due to early stop.
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# Corresponds to the JSON property `modelTrainingExpectedTotalIteration`
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# @return [Fixnum]
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attr_accessor :model_training_expected_total_iteration
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# [Output-only] The number of rows affected by a DML statement. Present only for
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# DML statements INSERT, UPDATE or DELETE.
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# Corresponds to the JSON property `numDmlAffectedRows`
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@@ -2192,6 +2271,8 @@ module Google
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@ddl_operation_performed = args[:ddl_operation_performed] if args.key?(:ddl_operation_performed)
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@ddl_target_table = args[:ddl_target_table] if args.key?(:ddl_target_table)
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@estimated_bytes_processed = args[:estimated_bytes_processed] if args.key?(:estimated_bytes_processed)
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@model_training_current_iteration = args[:model_training_current_iteration] if args.key?(:model_training_current_iteration)
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@model_training_expected_total_iteration = args[:model_training_expected_total_iteration] if args.key?(:model_training_expected_total_iteration)
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@num_dml_affected_rows = args[:num_dml_affected_rows] if args.key?(:num_dml_affected_rows)
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@query_plan = args[:query_plan] if args.key?(:query_plan)
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@referenced_tables = args[:referenced_tables] if args.key?(:referenced_tables)
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@@ -2336,6 +2417,69 @@ module Google
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end
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end
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#
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class ModelDefinition
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include Google::Apis::Core::Hashable
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# [Output-only, Beta] Model options used for the first training run. These
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# options are immutable for subsequent training runs. Default values are used
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# for any options not specified in the input query.
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# Corresponds to the JSON property `modelOptions`
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# @return [Google::Apis::BigqueryV2::ModelDefinition::ModelOptions]
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attr_accessor :model_options
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# [Output-only, Beta] Information about ml training runs, each training run
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# comprises of multiple iterations and there may be multiple training runs for
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# the model if warm start is used or if a user decides to continue a previously
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# cancelled query.
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# Corresponds to the JSON property `trainingRuns`
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# @return [Array<Google::Apis::BigqueryV2::TrainingRun>]
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attr_accessor :training_runs
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def initialize(**args)
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update!(**args)
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end
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# Update properties of this object
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def update!(**args)
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@model_options = args[:model_options] if args.key?(:model_options)
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@training_runs = args[:training_runs] if args.key?(:training_runs)
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end
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# [Output-only, Beta] Model options used for the first training run. These
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# options are immutable for subsequent training runs. Default values are used
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# for any options not specified in the input query.
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class ModelOptions
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include Google::Apis::Core::Hashable
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#
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# Corresponds to the JSON property `labels`
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# @return [Array<String>]
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attr_accessor :labels
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#
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# Corresponds to the JSON property `lossType`
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# @return [String]
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attr_accessor :loss_type
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#
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# Corresponds to the JSON property `modelType`
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# @return [String]
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attr_accessor :model_type
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def initialize(**args)
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update!(**args)
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end
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# Update properties of this object
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def update!(**args)
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@labels = args[:labels] if args.key?(:labels)
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@loss_type = args[:loss_type] if args.key?(:loss_type)
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@model_type = args[:model_type] if args.key?(:model_type)
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end
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end
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end
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#
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class ProjectList
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include Google::Apis::Core::Hashable
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@@ -2938,6 +3082,13 @@ module Google
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# @return [String]
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attr_accessor :location
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# [Output-only, Beta] Present iff this table represents a ML model. Describes
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# the training information for the model, and it is required to run 'PREDICT'
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# queries.
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# Corresponds to the JSON property `model`
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# @return [Google::Apis::BigqueryV2::ModelDefinition]
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attr_accessor :model
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# [Output-only] The size of this table in bytes, excluding any data in the
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# streaming buffer.
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# Corresponds to the JSON property `numBytes`
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@@ -3015,6 +3166,7 @@ module Google
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@labels = args[:labels] if args.key?(:labels)
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@last_modified_time = args[:last_modified_time] if args.key?(:last_modified_time)
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@location = args[:location] if args.key?(:location)
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@model = args[:model] if args.key?(:model)
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@num_bytes = args[:num_bytes] if args.key?(:num_bytes)
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@num_long_term_bytes = args[:num_long_term_bytes] if args.key?(:num_long_term_bytes)
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@num_rows = args[:num_rows] if args.key?(:num_rows)
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@@ -3533,6 +3685,123 @@ module Google
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end
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end
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#
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class TrainingRun
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include Google::Apis::Core::Hashable
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# [Output-only, Beta] List of each iteration results.
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# Corresponds to the JSON property `iterationResults`
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# @return [Array<Google::Apis::BigqueryV2::IterationResult>]
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attr_accessor :iteration_results
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# [Output-only, Beta] Training run start time in milliseconds since the epoch.
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# Corresponds to the JSON property `startTime`
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# @return [DateTime]
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attr_accessor :start_time
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# [Output-only, Beta] Different state applicable for a training run. IN PROGRESS:
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# Training run is in progress. FAILED: Training run ended due to a non-
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# retryable failure. SUCCEEDED: Training run successfully completed. CANCELLED:
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# Training run cancelled by the user.
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# Corresponds to the JSON property `state`
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# @return [String]
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attr_accessor :state
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# [Output-only, Beta] Training options used by this training run. These options
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# are mutable for subsequent training runs. Default values are explicitly stored
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# for options not specified in the input query of the first training run. For
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# subsequent training runs, any option not explicitly specified in the input
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# query will be copied from the previous training run.
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# Corresponds to the JSON property `trainingOptions`
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# @return [Google::Apis::BigqueryV2::TrainingRun::TrainingOptions]
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attr_accessor :training_options
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def initialize(**args)
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update!(**args)
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end
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# Update properties of this object
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def update!(**args)
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@iteration_results = args[:iteration_results] if args.key?(:iteration_results)
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@start_time = args[:start_time] if args.key?(:start_time)
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@state = args[:state] if args.key?(:state)
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@training_options = args[:training_options] if args.key?(:training_options)
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end
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# [Output-only, Beta] Training options used by this training run. These options
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# are mutable for subsequent training runs. Default values are explicitly stored
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# for options not specified in the input query of the first training run. For
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# subsequent training runs, any option not explicitly specified in the input
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# query will be copied from the previous training run.
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class TrainingOptions
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include Google::Apis::Core::Hashable
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#
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# Corresponds to the JSON property `earlyStop`
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# @return [Boolean]
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attr_accessor :early_stop
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alias_method :early_stop?, :early_stop
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#
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# Corresponds to the JSON property `l1Reg`
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# @return [Float]
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attr_accessor :l1_reg
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#
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# Corresponds to the JSON property `l2Reg`
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# @return [Float]
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attr_accessor :l2_reg
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#
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# Corresponds to the JSON property `learnRate`
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# @return [Float]
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attr_accessor :learn_rate
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#
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# Corresponds to the JSON property `learnRateStrategy`
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# @return [String]
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attr_accessor :learn_rate_strategy
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#
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# Corresponds to the JSON property `lineSearchInitLearnRate`
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# @return [Float]
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attr_accessor :line_search_init_learn_rate
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#
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# Corresponds to the JSON property `maxIteration`
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# @return [Fixnum]
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attr_accessor :max_iteration
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#
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# Corresponds to the JSON property `minRelProgress`
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# @return [Float]
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attr_accessor :min_rel_progress
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#
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# Corresponds to the JSON property `warmStart`
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# @return [Boolean]
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attr_accessor :warm_start
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alias_method :warm_start?, :warm_start
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def initialize(**args)
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update!(**args)
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end
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# Update properties of this object
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def update!(**args)
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@early_stop = args[:early_stop] if args.key?(:early_stop)
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@l1_reg = args[:l1_reg] if args.key?(:l1_reg)
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@l2_reg = args[:l2_reg] if args.key?(:l2_reg)
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@learn_rate = args[:learn_rate] if args.key?(:learn_rate)
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@learn_rate_strategy = args[:learn_rate_strategy] if args.key?(:learn_rate_strategy)
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@line_search_init_learn_rate = args[:line_search_init_learn_rate] if args.key?(:line_search_init_learn_rate)
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@max_iteration = args[:max_iteration] if args.key?(:max_iteration)
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@min_rel_progress = args[:min_rel_progress] if args.key?(:min_rel_progress)
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@warm_start = args[:warm_start] if args.key?(:warm_start)
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end
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end
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end
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#
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class UserDefinedFunctionResource
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include Google::Apis::Core::Hashable
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@@ -136,6 +136,12 @@ module Google
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include Google::Apis::Core::JsonObjectSupport
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end
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class IterationResult
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class Representation < Google::Apis::Core::JsonRepresentation; end
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include Google::Apis::Core::JsonObjectSupport
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end
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class Job
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class Representation < Google::Apis::Core::JsonRepresentation; end
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@@ -232,6 +238,18 @@ module Google
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include Google::Apis::Core::JsonObjectSupport
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end
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class ModelDefinition
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class Representation < Google::Apis::Core::JsonRepresentation; end
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class ModelOptions
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class Representation < Google::Apis::Core::JsonRepresentation; end
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include Google::Apis::Core::JsonObjectSupport
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end
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include Google::Apis::Core::JsonObjectSupport
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end
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class ProjectList
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class Representation < Google::Apis::Core::JsonRepresentation; end
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@@ -388,6 +406,18 @@ module Google
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include Google::Apis::Core::JsonObjectSupport
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end
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class TrainingRun
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class Representation < Google::Apis::Core::JsonRepresentation; end
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class TrainingOptions
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class Representation < Google::Apis::Core::JsonRepresentation; end
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include Google::Apis::Core::JsonObjectSupport
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end
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include Google::Apis::Core::JsonObjectSupport
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end
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class UserDefinedFunctionResource
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class Representation < Google::Apis::Core::JsonRepresentation; end
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@@ -461,6 +491,7 @@ module Google
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property :creation_time, :numeric_string => true, as: 'creationTime'
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property :dataset_reference, as: 'datasetReference', class: Google::Apis::BigqueryV2::DatasetReference, decorator: Google::Apis::BigqueryV2::DatasetReference::Representation
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property :default_partition_expiration_ms, :numeric_string => true, as: 'defaultPartitionExpirationMs'
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property :default_table_expiration_ms, :numeric_string => true, as: 'defaultTableExpirationMs'
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property :description, as: 'description'
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property :etag, as: 'etag'
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@@ -646,6 +677,17 @@ module Google
|
||||
end
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||||
end
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class IterationResult
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# @private
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class Representation < Google::Apis::Core::JsonRepresentation
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property :duration_ms, :numeric_string => true, as: 'durationMs'
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property :eval_loss, as: 'evalLoss'
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property :index, as: 'index'
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property :learn_rate, as: 'learnRate'
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property :training_loss, as: 'trainingLoss'
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end
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end
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class Job
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# @private
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class Representation < Google::Apis::Core::JsonRepresentation
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@@ -858,6 +900,8 @@ module Google
|
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property :ddl_target_table, as: 'ddlTargetTable', class: Google::Apis::BigqueryV2::TableReference, decorator: Google::Apis::BigqueryV2::TableReference::Representation
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|
||||
property :estimated_bytes_processed, :numeric_string => true, as: 'estimatedBytesProcessed'
|
||||
property :model_training_current_iteration, as: 'modelTrainingCurrentIteration'
|
||||
property :model_training_expected_total_iteration, :numeric_string => true, as: 'modelTrainingExpectedTotalIteration'
|
||||
property :num_dml_affected_rows, :numeric_string => true, as: 'numDmlAffectedRows'
|
||||
collection :query_plan, as: 'queryPlan', class: Google::Apis::BigqueryV2::ExplainQueryStage, decorator: Google::Apis::BigqueryV2::ExplainQueryStage::Representation
|
||||
|
||||
@@ -916,6 +960,25 @@ module Google
|
||||
end
|
||||
end
|
||||
|
||||
class ModelDefinition
|
||||
# @private
|
||||
class Representation < Google::Apis::Core::JsonRepresentation
|
||||
property :model_options, as: 'modelOptions', class: Google::Apis::BigqueryV2::ModelDefinition::ModelOptions, decorator: Google::Apis::BigqueryV2::ModelDefinition::ModelOptions::Representation
|
||||
|
||||
collection :training_runs, as: 'trainingRuns', class: Google::Apis::BigqueryV2::TrainingRun, decorator: Google::Apis::BigqueryV2::TrainingRun::Representation
|
||||
|
||||
end
|
||||
|
||||
class ModelOptions
|
||||
# @private
|
||||
class Representation < Google::Apis::Core::JsonRepresentation
|
||||
collection :labels, as: 'labels'
|
||||
property :loss_type, as: 'lossType'
|
||||
property :model_type, as: 'modelType'
|
||||
end
|
||||
end
|
||||
end
|
||||
|
||||
class ProjectList
|
||||
# @private
|
||||
class Representation < Google::Apis::Core::JsonRepresentation
|
||||
@@ -1070,6 +1133,8 @@ module Google
|
||||
hash :labels, as: 'labels'
|
||||
property :last_modified_time, :numeric_string => true, as: 'lastModifiedTime'
|
||||
property :location, as: 'location'
|
||||
property :model, as: 'model', class: Google::Apis::BigqueryV2::ModelDefinition, decorator: Google::Apis::BigqueryV2::ModelDefinition::Representation
|
||||
|
||||
property :num_bytes, :numeric_string => true, as: 'numBytes'
|
||||
property :num_long_term_bytes, :numeric_string => true, as: 'numLongTermBytes'
|
||||
property :num_rows, :numeric_string => true, as: 'numRows'
|
||||
@@ -1232,6 +1297,34 @@ module Google
|
||||
end
|
||||
end
|
||||
|
||||
class TrainingRun
|
||||
# @private
|
||||
class Representation < Google::Apis::Core::JsonRepresentation
|
||||
collection :iteration_results, as: 'iterationResults', class: Google::Apis::BigqueryV2::IterationResult, decorator: Google::Apis::BigqueryV2::IterationResult::Representation
|
||||
|
||||
property :start_time, as: 'startTime', type: DateTime
|
||||
|
||||
property :state, as: 'state'
|
||||
property :training_options, as: 'trainingOptions', class: Google::Apis::BigqueryV2::TrainingRun::TrainingOptions, decorator: Google::Apis::BigqueryV2::TrainingRun::TrainingOptions::Representation
|
||||
|
||||
end
|
||||
|
||||
class TrainingOptions
|
||||
# @private
|
||||
class Representation < Google::Apis::Core::JsonRepresentation
|
||||
property :early_stop, as: 'earlyStop'
|
||||
property :l1_reg, as: 'l1Reg'
|
||||
property :l2_reg, as: 'l2Reg'
|
||||
property :learn_rate, as: 'learnRate'
|
||||
property :learn_rate_strategy, as: 'learnRateStrategy'
|
||||
property :line_search_init_learn_rate, as: 'lineSearchInitLearnRate'
|
||||
property :max_iteration, :numeric_string => true, as: 'maxIteration'
|
||||
property :min_rel_progress, as: 'minRelProgress'
|
||||
property :warm_start, as: 'warmStart'
|
||||
end
|
||||
end
|
||||
end
|
||||
|
||||
class UserDefinedFunctionResource
|
||||
# @private
|
||||
class Representation < Google::Apis::Core::JsonRepresentation
|
||||
|
||||
Reference in new issue
Block a user