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.



12658
12659
12660
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12658

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:



12627
12628
12629
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12627

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) 


12635
12636
12637
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12635

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) 


12640
12641
12642
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12640

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:



12645
12646
12647
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12645

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:



12650
12651
12652
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12650

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) 


12656
12657
12658
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12656

def target_field
  @target_field
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



12663
12664
12665
12666
12667
12668
12669
12670
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 12663

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