Class: Google::Apis::BigqueryV2::HparamTuningTrial

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

Overview

Training info of a trial in hyperparameter tuning models.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ HparamTuningTrial

Returns a new instance of HparamTuningTrial.



3302
3303
3304
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 3302

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

Instance Attribute Details

#end_time_ms ⇒ Fixnum

Ending time of the trial. Corresponds to the JSON property endTimeMs

Returns:

  • (Fixnum) 


3251
3252
3253
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 3251

def end_time_ms
  @end_time_ms
end

#error_message ⇒ String

Error message for FAILED and INFEASIBLE trial. Corresponds to the JSON property errorMessage

Returns:

  • (String) 


3256
3257
3258
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 3256

def error_message
  @error_message
end

#eval_loss ⇒ Float

Loss computed on the eval data at the end of trial. Corresponds to the JSON property evalLoss

Returns:

  • (Float) 


3261
3262
3263
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 3261

def eval_loss
  @eval_loss
end

#evaluation_metrics ⇒ Google::Apis::BigqueryV2::EvaluationMetrics

Evaluation metrics of a model. These are either computed on all training data or just the eval data based on whether eval data was used during training. These are not present for imported models. Corresponds to the JSON property evaluationMetrics

Returns:



3268
3269
3270
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 3268

def evaluation_metrics
  @evaluation_metrics
end

#hparam_tuning_evaluation_metrics ⇒ Google::Apis::BigqueryV2::EvaluationMetrics

Evaluation metrics of a model. These are either computed on all training data or just the eval data based on whether eval data was used during training. These are not present for imported models. Corresponds to the JSON property hparamTuningEvaluationMetrics

Returns:



3275
3276
3277
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 3275

def hparam_tuning_evaluation_metrics
  @hparam_tuning_evaluation_metrics
end

#hparams ⇒ Google::Apis::BigqueryV2::TrainingOptions

Options used in model training. Corresponds to the JSON property hparams

Returns:



3280
3281
3282
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 3280

def hparams
  @hparams
end

#start_time_ms ⇒ Fixnum

Starting time of the trial. Corresponds to the JSON property startTimeMs

Returns:

  • (Fixnum) 


3285
3286
3287
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 3285

def start_time_ms
  @start_time_ms
end

#status ⇒ String

The status of the trial. Corresponds to the JSON property status

Returns:

  • (String) 


3290
3291
3292
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 3290

def status
  @status
end

#training_loss ⇒ Float

Loss computed on the training data at the end of trial. Corresponds to the JSON property trainingLoss

Returns:

  • (Float) 


3295
3296
3297
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 3295

def training_loss
  @training_loss
end

#trial_id ⇒ Fixnum

1-based index of the trial. Corresponds to the JSON property trialId

Returns:

  • (Fixnum) 


3300
3301
3302
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 3300

def trial_id
  @trial_id
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



3307
3308
3309
3310
3311
3312
3313
3314
3315
3316
3317
3318
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 3307

def update!(**args)
  @end_time_ms = args[:end_time_ms] if args.key?(:end_time_ms)
  @error_message = args[:error_message] if args.key?(:error_message)
  @eval_loss = args[:eval_loss] if args.key?(:eval_loss)
  @evaluation_metrics = args[:evaluation_metrics] if args.key?(:evaluation_metrics)
  @hparam_tuning_evaluation_metrics = args[:hparam_tuning_evaluation_metrics] if args.key?(:hparam_tuning_evaluation_metrics)
  @hparams = args[:hparams] if args.key?(:hparams)
  @start_time_ms = args[:start_time_ms] if args.key?(:start_time_ms)
  @status = args[:status] if args.key?(:status)
  @training_loss = args[:training_loss] if args.key?(:training_loss)
  @trial_id = args[:trial_id] if args.key?(:trial_id)
end