com.google.cloud.aiplatform.v1

Interface BatchPredictionJob.InstanceConfigOrBuilder

All Superinterfaces:

com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder

All Known Implementing Classes:

BatchPredictionJob.InstanceConfig, BatchPredictionJob.InstanceConfig.Builder

Enclosing class:

BatchPredictionJob

public static interface BatchPredictionJob.InstanceConfigOrBuilder
extends com.google.protobuf.MessageOrBuilder

Method Summary

Modifier and Type	Method and Description
String	getExcludedFields(int index) Fields that will be excluded in the prediction instance that is sent to the Model.
com.google.protobuf.ByteString	getExcludedFieldsBytes(int index) Fields that will be excluded in the prediction instance that is sent to the Model.
int	getExcludedFieldsCount() Fields that will be excluded in the prediction instance that is sent to the Model.
List<String>	getExcludedFieldsList() Fields that will be excluded in the prediction instance that is sent to the Model.
String	getIncludedFields(int index) Fields that will be included in the prediction instance that is sent to the Model.
com.google.protobuf.ByteString	getIncludedFieldsBytes(int index) Fields that will be included in the prediction instance that is sent to the Model.
int	getIncludedFieldsCount() Fields that will be included in the prediction instance that is sent to the Model.
List<String>	getIncludedFieldsList() Fields that will be included in the prediction instance that is sent to the Model.
String	getInstanceType() The format of the instance that the Model accepts.
com.google.protobuf.ByteString	getInstanceTypeBytes() The format of the instance that the Model accepts.
String	getKeyField() The name of the field that is considered as a key.
com.google.protobuf.ByteString	getKeyFieldBytes() The name of the field that is considered as a key.

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

isInitialized

Method Detail

getInstanceType

String getInstanceType()

 The format of the instance that the Model accepts. Vertex AI will
 convert compatible
 [batch prediction input instance
 formats][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.instances_format]
 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][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
       is populated.
       [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
       must be populated for specifying field orders.
     * For `jsonl`, if each line of the JSONL input is an object,
       [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.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][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.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": <value>}`, where `<value>` 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": <value>}`, where `<value>` is
    the Base64-encoded string of the content of the file.
 

string instance_type = 1;

Returns:

The instanceType.

getInstanceTypeBytes

com.google.protobuf.ByteString getInstanceTypeBytes()

 The format of the instance that the Model accepts. Vertex AI will
 convert compatible
 [batch prediction input instance
 formats][google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.instances_format]
 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][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
       is populated.
       [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
       must be populated for specifying field orders.
     * For `jsonl`, if each line of the JSONL input is an object,
       [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.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][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.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": <value>}`, where `<value>` 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": <value>}`, where `<value>` is
    the Base64-encoded string of the content of the file.
 

string instance_type = 1;

Returns:

The bytes for instanceType.

getKeyField

String getKeyField()

 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][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.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.
 

string key_field = 2;

Returns:

The keyField.

getKeyFieldBytes

com.google.protobuf.ByteString getKeyFieldBytes()

 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][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.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.
 

string key_field = 2;

Returns:

The bytes for keyField.

getIncludedFieldsList

List<String> getIncludedFieldsList()

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

 If
 [instance_type][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.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][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.excluded_fields]
 must be empty.

 The input must be JSONL with objects at each line, BigQuery
 or TfRecord.
 

repeated string included_fields = 3;

Returns:

A list containing the includedFields.

getIncludedFieldsCount

int getIncludedFieldsCount()

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

 If
 [instance_type][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.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][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.excluded_fields]
 must be empty.

 The input must be JSONL with objects at each line, BigQuery
 or TfRecord.
 

repeated string included_fields = 3;

Returns:

The count of includedFields.

getIncludedFields

String getIncludedFields(int index)

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

 If
 [instance_type][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.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][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.excluded_fields]
 must be empty.

 The input must be JSONL with objects at each line, BigQuery
 or TfRecord.
 

repeated string included_fields = 3;

Parameters:

index - The index of the element to return.

Returns:

The includedFields at the given index.

getIncludedFieldsBytes

com.google.protobuf.ByteString getIncludedFieldsBytes(int index)

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

 If
 [instance_type][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.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][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.excluded_fields]
 must be empty.

 The input must be JSONL with objects at each line, BigQuery
 or TfRecord.
 

repeated string included_fields = 3;

Parameters:

index - The index of the value to return.

Returns:

The bytes of the includedFields at the given index.

getExcludedFieldsList

List<String> getExcludedFieldsList()

 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][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.key_field]
 is not specified.

 When excluded_fields is populated,
 [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
 must be empty.

 The input must be JSONL with objects at each line, BigQuery
 or TfRecord.
 

repeated string excluded_fields = 4;

Returns:

A list containing the excludedFields.

getExcludedFieldsCount

int getExcludedFieldsCount()

 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][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.key_field]
 is not specified.

 When excluded_fields is populated,
 [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
 must be empty.

 The input must be JSONL with objects at each line, BigQuery
 or TfRecord.
 

repeated string excluded_fields = 4;

Returns:

The count of excludedFields.

getExcludedFields

String getExcludedFields(int index)

 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][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.key_field]
 is not specified.

 When excluded_fields is populated,
 [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
 must be empty.

 The input must be JSONL with objects at each line, BigQuery
 or TfRecord.
 

repeated string excluded_fields = 4;

Parameters:

index - The index of the element to return.

Returns:

The excludedFields at the given index.

getExcludedFieldsBytes

com.google.protobuf.ByteString getExcludedFieldsBytes(int index)

 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][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.key_field]
 is not specified.

 When excluded_fields is populated,
 [included_fields][google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.included_fields]
 must be empty.

 The input must be JSONL with objects at each line, BigQuery
 or TfRecord.
 

repeated string excluded_fields = 4;

Parameters:

index - The index of the value to return.

Returns:

The bytes of the excludedFields at the given index.