Class: Google::Apis::BigqueryV2::Model

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
lib/google/apis/bigquery_v2/classes.rb,
lib/google/apis/bigquery_v2/representations.rb,
lib/google/apis/bigquery_v2/representations.rb

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ Model

Returns a new instance of Model.



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# File 'lib/google/apis/bigquery_v2/classes.rb', line 7542

def initialize(**args)
   update!(**args)
end

Instance Attribute Details

#best_trial_id ⇒ Fixnum

The best trial_id across all training runs. Corresponds to the JSON property bestTrialId

Returns:

  • (Fixnum) 


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# File 'lib/google/apis/bigquery_v2/classes.rb', line 7412

def best_trial_id
  @best_trial_id
end

#creation_time ⇒ Fixnum

Output only. The time when this model was created, in millisecs since the epoch. Corresponds to the JSON property creationTime

Returns:

  • (Fixnum) 


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# File 'lib/google/apis/bigquery_v2/classes.rb', line 7418

def creation_time
  @creation_time
end

#default_trial_id ⇒ Fixnum

Output only. The default trial_id to use in TVFs when the trial_id is not passed in. For single-objective hyperparameter tuning models, this is the best trial ID. For multi-objective hyperparameter tuning models, this is the smallest trial ID among all Pareto optimal trials. Corresponds to the JSON property defaultTrialId

Returns:

  • (Fixnum) 


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# File 'lib/google/apis/bigquery_v2/classes.rb', line 7429

def default_trial_id
  @default_trial_id
end

#description ⇒ String

Optional. A user-friendly description of this model. Corresponds to the JSON property description

Returns:

  • (String) 


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# File 'lib/google/apis/bigquery_v2/classes.rb', line 7434

def description
  @description
end

#encryption_configuration ⇒ Google::Apis::BigqueryV2::EncryptionConfiguration

Configuration for Cloud KMS encryption settings. Corresponds to the JSON property encryptionConfiguration

Returns:



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# File 'lib/google/apis/bigquery_v2/classes.rb', line 7439

def encryption_configuration
  @encryption_configuration
end

#etag ⇒ String

Output only. A hash of this resource. Corresponds to the JSON property etag

Returns:

  • (String) 


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# File 'lib/google/apis/bigquery_v2/classes.rb', line 7444

def etag
  @etag
end

#expiration_time ⇒ Fixnum

Optional. The time when this model expires, in milliseconds since the epoch. If not present, the model will persist indefinitely. Expired models will be deleted and their storage reclaimed. The defaultTableExpirationMs property of the encapsulating dataset can be used to set a default expirationTime on newly created models. Corresponds to the JSON property expirationTime

Returns:

  • (Fixnum) 


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# File 'lib/google/apis/bigquery_v2/classes.rb', line 7453

def expiration_time
  @expiration_time
end

#feature_columns ⇒ Array<Google::Apis::BigqueryV2::StandardSqlField>

Output only. Input feature columns for the model inference. If the model is trained with TRANSFORM clause, these are the input of the TRANSFORM clause. Corresponds to the JSON property featureColumns

Returns:



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# File 'lib/google/apis/bigquery_v2/classes.rb', line 7459

def feature_columns
  @feature_columns
end

#friendly_name ⇒ String

Optional. A descriptive name for this model. Corresponds to the JSON property friendlyName

Returns:

  • (String) 


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# File 'lib/google/apis/bigquery_v2/classes.rb', line 7464

def friendly_name
  @friendly_name
end

#hparam_search_spaces ⇒ Google::Apis::BigqueryV2::HparamSearchSpaces

Hyperparameter search spaces. These should be a subset of training_options. Corresponds to the JSON property hparamSearchSpaces

Returns:



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# File 'lib/google/apis/bigquery_v2/classes.rb', line 7469

def hparam_search_spaces
  @hparam_search_spaces
end

#hparam_trials ⇒ Array<Google::Apis::BigqueryV2::HparamTuningTrial>

Output only. Trials of a hyperparameter tuning model sorted by trial_id. Corresponds to the JSON property hparamTrials

Returns:



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# File 'lib/google/apis/bigquery_v2/classes.rb', line 7476

def hparam_trials
  @hparam_trials
end

#label_columns ⇒ Array<Google::Apis::BigqueryV2::StandardSqlField>

Output only. Label columns that were used to train this model. The output of the model will have a "predicted_" prefix to these columns. Corresponds to the JSON property labelColumns

Returns:



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# File 'lib/google/apis/bigquery_v2/classes.rb', line 7482

def label_columns
  @label_columns
end

#labels ⇒ Hash<String,String>

The labels associated with this model. You can use these to organize and group your models. Label keys and values can be no longer than 63 characters, can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter and each label in the list must have a different key. Corresponds to the JSON property labels

Returns:

  • (Hash<String,String>) 


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# File 'lib/google/apis/bigquery_v2/classes.rb', line 7491

def labels
  @labels
end

#last_modified_time ⇒ Fixnum

Output only. The time when this model was last modified, in millisecs since the epoch. Corresponds to the JSON property lastModifiedTime

Returns:

  • (Fixnum) 


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# File 'lib/google/apis/bigquery_v2/classes.rb', line 7497

def last_modified_time
  @last_modified_time
end

#location ⇒ String

Output only. The geographic location where the model resides. This value is inherited from the dataset. Corresponds to the JSON property location

Returns:

  • (String) 


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# File 'lib/google/apis/bigquery_v2/classes.rb', line 7503

def location
  @location
end

#model_reference ⇒ Google::Apis::BigqueryV2::ModelReference

Id path of a model. Corresponds to the JSON property modelReference

Returns:



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# File 'lib/google/apis/bigquery_v2/classes.rb', line 7508

def model_reference
  @model_reference
end

#model_type ⇒ String

Output only. Type of the model resource. Corresponds to the JSON property modelType

Returns:

  • (String) 


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# File 'lib/google/apis/bigquery_v2/classes.rb', line 7513

def model_type
  @model_type
end

#optimal_trial_ids ⇒ Array<Fixnum>

Output only. For single-objective hyperparameter tuning models, it only contains the best trial. For multi-objective hyperparameter tuning models, it contains all Pareto optimal trials sorted by trial_id. Corresponds to the JSON property optimalTrialIds

Returns:

  • (Array<Fixnum>) 


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# File 'lib/google/apis/bigquery_v2/classes.rb', line 7523

def optimal_trial_ids
  @optimal_trial_ids
end

#remote_model_info ⇒ Google::Apis::BigqueryV2::RemoteModelInfo

Remote Model Info Corresponds to the JSON property remoteModelInfo

Returns:



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# File 'lib/google/apis/bigquery_v2/classes.rb', line 7528

def remote_model_info
  @remote_model_info
end

#training_runs ⇒ Array<Google::Apis::BigqueryV2::TrainingRun>

Information for all training runs in increasing order of start_time. Corresponds to the JSON property trainingRuns

Returns:



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# File 'lib/google/apis/bigquery_v2/classes.rb', line 7533

def training_runs
  @training_runs
end

#transform_columns ⇒ Array<Google::Apis::BigqueryV2::TransformColumn>

Output only. This field will be populated if a TRANSFORM clause was used to train a model. TRANSFORM clause (if used) takes feature_columns as input and outputs transform_columns. transform_columns then are used to train the model. Corresponds to the JSON property transformColumns

Returns:



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# File 'lib/google/apis/bigquery_v2/classes.rb', line 7540

def transform_columns
  @transform_columns
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



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# File 'lib/google/apis/bigquery_v2/classes.rb', line 7547

def update!(**args)
  @best_trial_id = args[:best_trial_id] if args.key?(:best_trial_id)
  @creation_time = args[:creation_time] if args.key?(:creation_time)
  @default_trial_id = args[:default_trial_id] if args.key?(:default_trial_id)
  @description = args[:description] if args.key?(:description)
  @encryption_configuration = args[:encryption_configuration] if args.key?(:encryption_configuration)
  @etag = args[:etag] if args.key?(:etag)
  @expiration_time = args[:expiration_time] if args.key?(:expiration_time)
  @feature_columns = args[:feature_columns] if args.key?(:feature_columns)
  @friendly_name = args[:friendly_name] if args.key?(:friendly_name)
  @hparam_search_spaces = args[:hparam_search_spaces] if args.key?(:hparam_search_spaces)
  @hparam_trials = args[:hparam_trials] if args.key?(:hparam_trials)
  @label_columns = args[:label_columns] if args.key?(:label_columns)
  @labels = args[:labels] if args.key?(:labels)
  @last_modified_time = args[:last_modified_time] if args.key?(:last_modified_time)
  @location = args[:location] if args.key?(:location)
  @model_reference = args[:model_reference] if args.key?(:model_reference)
  @model_type = args[:model_type] if args.key?(:model_type)
  @optimal_trial_ids = args[:optimal_trial_ids] if args.key?(:optimal_trial_ids)
  @remote_model_info = args[:remote_model_info] if args.key?(:remote_model_info)
  @training_runs = args[:training_runs] if args.key?(:training_runs)
  @transform_columns = args[:transform_columns] if args.key?(:transform_columns)
end