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.



15957
15958
15959
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 15957

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:



15926
15927
15928
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 15926

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) 


15934
15935
15936
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 15934

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) 


15939
15940
15941
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 15939

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:



15944
15945
15946
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 15944

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:



15949
15950
15951
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 15949

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) 


15955
15956
15957
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 15955

def target_field
  @target_field
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



15962
15963
15964
15965
15966
15967
15968
15969
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 15962

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