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.



15718
15719
15720
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 15718

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:



15687
15688
15689
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 15687

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) 


15695
15696
15697
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 15695

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) 


15700
15701
15702
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 15700

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:



15705
15706
15707
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 15705

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:



15710
15711
15712
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 15710

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) 


15716
15717
15718
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 15716

def target_field
  @target_field
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



15723
15724
15725
15726
15727
15728
15729
15730
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 15723

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