Class: Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ModelMonitoringObjectiveConfigTrainingDataset

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
lib/google/apis/aiplatform_v1beta1/classes.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb

Overview

Training Dataset information.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1ModelMonitoringObjectiveConfigTrainingDataset

Returns a new instance of GoogleCloudAiplatformV1beta1ModelMonitoringObjectiveConfigTrainingDataset.



17495
17496
17497
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 17495

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

Instance Attribute Details

#bigquery_source ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BigQuerySource

The BigQuery location for the input content. Corresponds to the JSON property bigquerySource

Returns:



17464
17465
17466
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 17464

def bigquery_source
  @bigquery_source
end

#data_format ⇒ String

Data format of the dataset, only applicable if the input is from Google Cloud Storage. The possible formats are: "tf-record" The source file is a TFRecord file. "csv" The source file is a CSV file. "jsonl" The source file is a JSONL file. Corresponds to the JSON property dataFormat

Returns:

  • (String) 


17472
17473
17474
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 17472

def data_format
  @data_format
end

#dataset ⇒ String

The resource name of the Dataset used to train this Model. Corresponds to the JSON property dataset

Returns:

  • (String) 


17477
17478
17479
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 17477

def dataset
  @dataset
end

#gcs_source ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1GcsSource

The Google Cloud Storage location for the input content. Corresponds to the JSON property gcsSource

Returns:



17482
17483
17484
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 17482

def gcs_source
  @gcs_source
end

#logging_sampling_strategy ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SamplingStrategy

Sampling Strategy for logging, can be for both training and prediction dataset. Corresponds to the JSON property loggingSamplingStrategy

Returns:



17487
17488
17489
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 17487

def logging_sampling_strategy
  @logging_sampling_strategy
end

#target_field ⇒ String

The target field name the model is to predict. This field will be excluded when doing Predict and (or) Explain for the training data. Corresponds to the JSON property targetField

Returns:

  • (String) 


17493
17494
17495
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 17493

def target_field
  @target_field
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



17500
17501
17502
17503
17504
17505
17506
17507
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 17500

def update!(**args)
  @bigquery_source = args[:bigquery_source] if args.key?(:bigquery_source)
  @data_format = args[:data_format] if args.key?(:data_format)
  @dataset = args[:dataset] if args.key?(:dataset)
  @gcs_source = args[:gcs_source] if args.key?(:gcs_source)
  @logging_sampling_strategy = args[:logging_sampling_strategy] if args.key?(:logging_sampling_strategy)
  @target_field = args[:target_field] if args.key?(:target_field)
end