Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::BatchPredictionJob::InputConfig (v0.63.0)

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

Configures the input to BatchPredictionJob. See Model.supported_input_storage_formats for Model's supported input formats, and how instances should be expressed via any of them.

Inherits

  • Object

Extended By

  • Google::Protobuf::MessageExts::ClassMethods

Includes

  • Google::Protobuf::MessageExts

Methods

#bigquery_source

def bigquery_source() -> ::Google::Cloud::AIPlatform::V1::BigQuerySource
Returns
  • (::Google::Cloud::AIPlatform::V1::BigQuerySource) — The BigQuery location of the input table. The schema of the table should be in the format described by the given context OpenAPI Schema, if one is provided. The table may contain additional columns that are not described by the schema, and they will be ignored.

    Note: The following fields are mutually exclusive: bigquery_source, gcs_source. If a field in that set is populated, all other fields in the set will automatically be cleared.

#bigquery_source=

def bigquery_source=(value) -> ::Google::Cloud::AIPlatform::V1::BigQuerySource
Parameter
  • value (::Google::Cloud::AIPlatform::V1::BigQuerySource) — The BigQuery location of the input table. The schema of the table should be in the format described by the given context OpenAPI Schema, if one is provided. The table may contain additional columns that are not described by the schema, and they will be ignored.

    Note: The following fields are mutually exclusive: bigquery_source, gcs_source. If a field in that set is populated, all other fields in the set will automatically be cleared.

Returns
  • (::Google::Cloud::AIPlatform::V1::BigQuerySource) — The BigQuery location of the input table. The schema of the table should be in the format described by the given context OpenAPI Schema, if one is provided. The table may contain additional columns that are not described by the schema, and they will be ignored.

    Note: The following fields are mutually exclusive: bigquery_source, gcs_source. If a field in that set is populated, all other fields in the set will automatically be cleared.

#gcs_source

def gcs_source() -> ::Google::Cloud::AIPlatform::V1::GcsSource
Returns
  • (::Google::Cloud::AIPlatform::V1::GcsSource) — The Cloud Storage location for the input instances.

    Note: The following fields are mutually exclusive: gcs_source, bigquery_source. If a field in that set is populated, all other fields in the set will automatically be cleared.

#gcs_source=

def gcs_source=(value) -> ::Google::Cloud::AIPlatform::V1::GcsSource
Parameter
  • value (::Google::Cloud::AIPlatform::V1::GcsSource) — The Cloud Storage location for the input instances.

    Note: The following fields are mutually exclusive: gcs_source, bigquery_source. If a field in that set is populated, all other fields in the set will automatically be cleared.

Returns
  • (::Google::Cloud::AIPlatform::V1::GcsSource) — The Cloud Storage location for the input instances.

    Note: The following fields are mutually exclusive: gcs_source, bigquery_source. If a field in that set is populated, all other fields in the set will automatically be cleared.

#instances_format

def instances_format() -> ::String
Returns
  • (::String) — Required. The format in which instances are given, must be one of the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model] supported_input_storage_formats.

#instances_format=

def instances_format=(value) -> ::String
Parameter
  • value (::String) — Required. The format in which instances are given, must be one of the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model] supported_input_storage_formats.
Returns
  • (::String) — Required. The format in which instances are given, must be one of the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model] supported_input_storage_formats.