GoogleCloudAiplatformV1beta1ModelMonitoringObjectiveConfigTrainingDatasetResponse constructor

const GoogleCloudAiplatformV1beta1ModelMonitoringObjectiveConfigTrainingDatasetResponse({ required Input<GoogleCloudAiplatformV1beta1BigQuerySourceResponse> bigquerySource, required Input<String> dataFormat, required Input<String> dataset, required Input<GoogleCloudAiplatformV1beta1GcsSourceResponse> gcsSource, required Input<GoogleCloudAiplatformV1beta1SamplingStrategyResponse> loggingSamplingStrategy, required Input<String> targetField, })

Creates a new GoogleCloudAiplatformV1beta1ModelMonitoringObjectiveConfigTrainingDatasetResponse. bigquerySource The BigQuery table of the unmanaged Dataset used to train this Model. dataFormat 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. dataset The resource name of the Dataset used to train this Model. gcsSource The Google Cloud Storage uri of the unmanaged Dataset used to train this Model. loggingSamplingStrategy Strategy to sample data from Training Dataset. If not set, we process the whole dataset. targetField The target field name the model is to predict. This field will be excluded when doing Predict and (or) Explain for the training data.

Implementation

const GoogleCloudAiplatformV1beta1ModelMonitoringObjectiveConfigTrainingDatasetResponse({
  required this.bigquerySource,
  required this.dataFormat,
  required this.dataset,
  required this.gcsSource,
  required this.loggingSamplingStrategy,
  required this.targetField,
});