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.



6691
6692
6693
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 6691

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) 


6564
6565
6566
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 6564

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) 


6570
6571
6572
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 6570

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) 


6580
6581
6582
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 6580

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) 


6585
6586
6587
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 6585

def description
  @description
end

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

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

Returns:



6590
6591
6592
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 6590

def encryption_configuration
  @encryption_configuration
end

#etag ⇒ String

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

Returns:

  • (String) 


6595
6596
6597
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 6595

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) 


6604
6605
6606
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 6604

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:



6610
6611
6612
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 6610

def feature_columns
  @feature_columns
end

#friendly_name ⇒ String

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

Returns:

  • (String) 


6615
6616
6617
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 6615

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:



6620
6621
6622
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 6620

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:



6626
6627
6628
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 6626

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:



6632
6633
6634
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 6632

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>) 


6641
6642
6643
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 6641

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) 


6647
6648
6649
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 6647

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) 


6653
6654
6655
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 6653

def location
  @location
end

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

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

Returns:



6658
6659
6660
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 6658

def model_reference
  @model_reference
end

#model_type ⇒ String

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

Returns:

  • (String) 


6663
6664
6665
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 6663

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>) 


6672
6673
6674
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 6672

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:



6677
6678
6679
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 6677

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:



6682
6683
6684
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 6682

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:



6689
6690
6691
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 6689

def transform_columns
  @transform_columns
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



6696
6697
6698
6699
6700
6701
6702
6703
6704
6705
6706
6707
6708
6709
6710
6711
6712
6713
6714
6715
6716
6717
6718
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 6696

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