Class: Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ModelMonitoringObjectiveConfigTrainingDataset

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
lib/google/apis/aiplatform_v1/classes.rb,
lib/google/apis/aiplatform_v1/representations.rb,
lib/google/apis/aiplatform_v1/representations.rb

Overview

Training Dataset information.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1ModelMonitoringObjectiveConfigTrainingDataset

Returns a new instance of GoogleCloudAiplatformV1ModelMonitoringObjectiveConfigTrainingDataset.



14648
14649
14650
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 14648

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

Instance Attribute Details

#bigquery_source ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1BigQuerySource

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

Returns:



14617
14618
14619
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 14617

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) 


14625
14626
14627
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 14625

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) 


14630
14631
14632
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 14630

def dataset
  @dataset
end

#gcs_source ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1GcsSource

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

Returns:



14635
14636
14637
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 14635

def gcs_source
  @gcs_source
end

#logging_sampling_strategy ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SamplingStrategy

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

Returns:



14640
14641
14642
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 14640

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) 


14646
14647
14648
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 14646

def target_field
  @target_field
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



14653
14654
14655
14656
14657
14658
14659
14660
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 14653

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