Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::BatchPredictionJob::InputConfig (v0.19.0)

Version 0.19.0

• 0.61.0 (latest)
• 0.60.0
• 0.59.0
• 0.58.0
• 0.57.0
• 0.56.0
• 0.55.0
• 0.54.0
• 0.53.0
• 0.52.0
• 0.51.0
• 0.50.0
• 0.49.0
• 0.48.0
• 0.47.0
• 0.46.0
• 0.45.0
• 0.44.0
• 0.43.0
• 0.42.0
• 0.41.0
• 0.40.0
• 0.39.0
• 0.38.0
• 0.37.0
• 0.36.0
• 0.35.0
• 0.34.0
• 0.33.0
• 0.32.0
• 0.31.0
• 0.30.0
• 0.29.0
• 0.28.0
• 0.27.0
• 0.26.0
• 0.25.0
• 0.24.0
• 0.23.0
• 0.22.0
• 0.21.0
• 0.20.0
• 0.19.0
• 0.18.0
• 0.17.0
• 0.16.0
• 0.15.0
• 0.14.0
• 0.13.0
• 0.12.0
• 0.11.0
• 0.10.0
• 0.9.1
• 0.8.0
• 0.7.0
• 0.6.0
• 0.5.0
• 0.4.0
• 0.3.0
• 0.2.0
• 0.1.0

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.

#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.

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.

#gcs_source

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

Returns

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

#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.

Returns

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

#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.