Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::ModelMonitoringObjectiveConfig::TrainingDataset (v0.4.0)

Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::ModelMonitoringObjectiveConfig::TrainingDataset.

Training Dataset information.

Inherits

  • Object

Extended By

  • Google::Protobuf::MessageExts::ClassMethods

Includes

  • Google::Protobuf::MessageExts

Methods

#bigquery_source

def bigquery_source() -> ::Google::Cloud::AIPlatform::V1::BigQuerySource
Returns

#bigquery_source=

def bigquery_source=(value) -> ::Google::Cloud::AIPlatform::V1::BigQuerySource
Parameter
Returns

#data_format

def data_format() -> ::String
Returns
  • (::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.

#data_format=

def data_format=(value) -> ::String
Parameter
  • value (::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.

Returns
  • (::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.

#dataset

def dataset() -> ::String
Returns
  • (::String) — The resource name of the Dataset used to train this Model.

#dataset=

def dataset=(value) -> ::String
Parameter
  • value (::String) — The resource name of the Dataset used to train this Model.
Returns
  • (::String) — The resource name of the Dataset used to train this Model.

#gcs_source

def gcs_source() -> ::Google::Cloud::AIPlatform::V1::GcsSource
Returns

#gcs_source=

def gcs_source=(value) -> ::Google::Cloud::AIPlatform::V1::GcsSource
Parameter
Returns

#logging_sampling_strategy

def logging_sampling_strategy() -> ::Google::Cloud::AIPlatform::V1::SamplingStrategy
Returns

#logging_sampling_strategy=

def logging_sampling_strategy=(value) -> ::Google::Cloud::AIPlatform::V1::SamplingStrategy
Parameter
Returns

#target_field

def target_field() -> ::String
Returns
  • (::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.

#target_field=

def target_field=(value) -> ::String
Parameter
  • value (::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.
Returns
  • (::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.