Class: Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BatchPredictionJobInstanceConfig

Inherits:

Object

• Object
• Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BatchPredictionJobInstanceConfig

Includes:

Core::Hashable, Core::JsonObjectSupport

Defined in:

lib/google/apis/aiplatform_v1beta1/classes.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb

Overview

Configuration defining how to transform batch prediction input instances to the instances that the Model accepts.

Instance Attribute Summary

• #excluded_fields ⇒ Array<String>

  Fields that will be excluded in the prediction instance that is sent to the Model.

• #included_fields ⇒ Array<String>

  Fields that will be included in the prediction instance that is sent to the Model.

• #instance_type ⇒ String

  The format of the instance that the Model accepts.

• #key_field ⇒ String

  The name of the field that is considered as a key.

Instance Method Summary

• #initialize(**args) ⇒ GoogleCloudAiplatformV1beta1BatchPredictionJobInstanceConfig constructor

  A new instance of GoogleCloudAiplatformV1beta1BatchPredictionJobInstanceConfig.

• #update!(**args) ⇒ Object

  Update properties of this object.

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1BatchPredictionJobInstanceConfig

Returns a new instance of GoogleCloudAiplatformV1beta1BatchPredictionJobInstanceConfig.

# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 2123

def initialize(**args)
   update!(**args)
end

Instance Attribute Details

#excluded_fields ⇒ Array<String>

Fields that will be excluded in the prediction instance that is sent to the Model. Excluded will be attached to the batch prediction output if key_field is not specified. When excluded_fields is populated, included_fields must be empty. The input must be JSONL with objects at each line, BigQuery or TfRecord. Corresponds to the JSON property excludedFields

Returns:

• (Array<String>)

# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 2073

def excluded_fields
  @excluded_fields
end

#included_fields ⇒ Array<String>

Fields that will be included in the prediction instance that is sent to the Model. If instance_type is array, the order of field names in included_fields also determines the order of the values in the array. When included_fields is populated, excluded_fields must be empty. The input must be JSONL with objects at each line, BigQuery or TfRecord. Corresponds to the JSON property includedFields

Returns:

• (Array<String>)

# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 2082

def included_fields
  @included_fields
end

#instance_type ⇒ String

The format of the instance that the Model accepts. Vertex AI will convert compatible batch prediction input instance formats to the specified format. Supported values are: * object: Each input is converted to JSON object format. * For bigquery, each row is converted to an object. * For jsonl, each line of the JSONL input must be an object. * Does not apply to csv, file-list, tf-record, or tf-record-gzip. * array: Each input is converted to JSON array format. * For bigquery, each row is converted to an array. The order of columns is determined by the BigQuery column order, unless included_fields is populated. included_fields must be populated for specifying field orders. * For jsonl, if each line of the JSONL input is an object, included_fields must be populated for specifying field orders. * Does not apply to csv, file-list, tf-record, or tf-record-gzip. If not specified, Vertex AI converts the batch prediction input as follows: * For bigquery and csv, the behavior is the same as array. The order of columns is the same as defined in the file or table, unless included_fields is populated. * For jsonl, the prediction instance format is determined by each line of the input. * For tf-record/tf-record-gzip, each record will be converted to an object in the format of "b64":, where is the Base64- encoded string of the content of the record. * For `file-list`, each file in the list will be converted to an object in the format of"b64": , where is the Base64-encoded string of the content of the file. Corresponds to the JSON property instanceType

Returns:

• (String)

# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 2107

def instance_type
  @instance_type
end

#key_field ⇒ String

The name of the field that is considered as a key. The values identified by the key field is not included in the transformed instances that is sent to the Model. This is similar to specifying this name of the field in excluded_fields. In addition, the batch prediction output will not include the instances. Instead the output will only include the value of the key field, in a field named key in the output: * For jsonl output format, the output will have a key field instead of the instance field. * For csv/bigquery output format, the output will have have a key column instead of the instance feature columns. The input must be JSONL with objects at each line, CSV, BigQuery or TfRecord. Corresponds to the JSON property keyField

Returns:

• (String)

# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 2121

def key_field
  @key_field
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object

# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 2128

def update!(**args)
  @excluded_fields = args[:excluded_fields] if args.key?(:excluded_fields)
  @included_fields = args[:included_fields] if args.key?(:included_fields)
  @instance_type = args[:instance_type] if args.key?(:instance_type)
  @key_field = args[:key_field] if args.key?(:key_field)
end