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.



3995
3996
3997
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 3995

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) 


3944
3945
3946
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 3944

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) 


3949
3950
3951
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 3949

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) 


3954
3955
3956
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 3954

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:



3961
3962
3963
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 3961

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:



3968
3969
3970
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 3968

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:



3973
3974
3975
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 3973

def hparams
  @hparams
end

#start_time_ms ⇒ Fixnum

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

Returns:

  • (Fixnum) 


3978
3979
3980
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 3978

def start_time_ms
  @start_time_ms
end

#status ⇒ String

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

Returns:

  • (String) 


3983
3984
3985
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 3983

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) 


3988
3989
3990
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 3988

def training_loss
  @training_loss
end

#trial_id ⇒ Fixnum

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

Returns:

  • (Fixnum) 


3993
3994
3995
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 3993

def trial_id
  @trial_id
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



4000
4001
4002
4003
4004
4005
4006
4007
4008
4009
4010
4011
 
# File 'lib/google/apis/bigquery_v2/classes.rb', line 4000

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