Package com.google.cloud.aiplatform.v1

Class BatchPredictionJob.InstanceConfig.Builder

java.lang.Object
com.google.protobuf.AbstractMessageLite.Builder
com.google.protobuf.AbstractMessage.Builder<BuilderT>
com.google.protobuf.GeneratedMessage.Builder<BatchPredictionJob.InstanceConfig.Builder>
com.google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig.Builder
All Implemented Interfaces:
BatchPredictionJob.InstanceConfigOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable
Enclosing class:
BatchPredictionJob.InstanceConfig
public static final class BatchPredictionJob.InstanceConfig.Builder extends com.google.protobuf.GeneratedMessage.Builder<BatchPredictionJob.InstanceConfig.Builder> implements BatchPredictionJob.InstanceConfigOrBuilder
 Configuration defining how to transform batch prediction input instances to
 the instances that the Model accepts.
Protobuf type google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig

  • Method Details

    • getDescriptor

      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

    • internalGetFieldAccessorTable

      protected com.google.protobuf.GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()
      Specified by:
      internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessage.Builder<BatchPredictionJob.InstanceConfig.Builder>

    • clear

      public BatchPredictionJob.InstanceConfig.Builder clear()
      Specified by:
      clear in interface com.google.protobuf.Message.Builder
      Specified by:
      clear in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      clear in class com.google.protobuf.GeneratedMessage.Builder<BatchPredictionJob.InstanceConfig.Builder>

    • getDescriptorForType

      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
      Specified by:
      getDescriptorForType in interface com.google.protobuf.Message.Builder
      Specified by:
      getDescriptorForType in interface com.google.protobuf.MessageOrBuilder
      Overrides:
      getDescriptorForType in class com.google.protobuf.GeneratedMessage.Builder<BatchPredictionJob.InstanceConfig.Builder>

    • getDefaultInstanceForType

      public BatchPredictionJob.InstanceConfig getDefaultInstanceForType()
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

    • build

      public BatchPredictionJob.InstanceConfig build()
      Specified by:
      build in interface com.google.protobuf.Message.Builder
      Specified by:
      build in interface com.google.protobuf.MessageLite.Builder

    • buildPartial

      public BatchPredictionJob.InstanceConfig buildPartial()
      Specified by:
      buildPartial in interface com.google.protobuf.Message.Builder
      Specified by:
      buildPartial in interface com.google.protobuf.MessageLite.Builder

    • mergeFrom

      public BatchPredictionJob.InstanceConfig.Builder mergeFrom(com.google.protobuf.Message other)
      Specified by:
      mergeFrom in interface com.google.protobuf.Message.Builder
      Overrides:
      mergeFrom in class com.google.protobuf.AbstractMessage.Builder<BatchPredictionJob.InstanceConfig.Builder>

    • mergeFrom

      public BatchPredictionJob.InstanceConfig.Builder mergeFrom(BatchPredictionJob.InstanceConfig other)

    • isInitialized

      public final boolean isInitialized()
      Specified by:
      isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
      Overrides:
      isInitialized in class com.google.protobuf.GeneratedMessage.Builder<BatchPredictionJob.InstanceConfig.Builder>

    • mergeFrom

      public BatchPredictionJob.InstanceConfig.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Specified by:
      mergeFrom in interface com.google.protobuf.Message.Builder
      Specified by:
      mergeFrom in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      mergeFrom in class com.google.protobuf.AbstractMessage.Builder<BatchPredictionJob.InstanceConfig.Builder>
      Throws:
      IOException

    • getInstanceType

      public 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;
      Specified by:
      getInstanceType in interface BatchPredictionJob.InstanceConfigOrBuilder
      Returns:
      The instanceType.

    • getInstanceTypeBytes

      public 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;
      Specified by:
      getInstanceTypeBytes in interface BatchPredictionJob.InstanceConfigOrBuilder
      Returns:
      The bytes for instanceType.

    • setInstanceType

      public BatchPredictionJob.InstanceConfig.Builder setInstanceType(String value)
       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;
      Parameters:
      value - The instanceType to set.
      Returns:
      This builder for chaining.

    • clearInstanceType

      public BatchPredictionJob.InstanceConfig.Builder clearInstanceType()
       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:
      This builder for chaining.

    • setInstanceTypeBytes

      public BatchPredictionJob.InstanceConfig.Builder setInstanceTypeBytes(com.google.protobuf.ByteString value)
       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;
      Parameters:
      value - The bytes for instanceType to set.
      Returns:
      This builder for chaining.

    • getKeyField

      public 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;
      Specified by:
      getKeyField in interface BatchPredictionJob.InstanceConfigOrBuilder
      Returns:
      The keyField.

    • getKeyFieldBytes

      public 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;
      Specified by:
      getKeyFieldBytes in interface BatchPredictionJob.InstanceConfigOrBuilder
      Returns:
      The bytes for keyField.

    • setKeyField

      public BatchPredictionJob.InstanceConfig.Builder setKeyField(String value)
       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;
      Parameters:
      value - The keyField to set.
      Returns:
      This builder for chaining.

    • clearKeyField

      public BatchPredictionJob.InstanceConfig.Builder clearKeyField()
       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:
      This builder for chaining.

    • setKeyFieldBytes

      public BatchPredictionJob.InstanceConfig.Builder setKeyFieldBytes(com.google.protobuf.ByteString value)
       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;
      Parameters:
      value - The bytes for keyField to set.
      Returns:
      This builder for chaining.

    • getIncludedFieldsList

      public com.google.protobuf.ProtocolStringList 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;
      Specified by:
      getIncludedFieldsList in interface BatchPredictionJob.InstanceConfigOrBuilder
      Returns:
      A list containing the includedFields.

    • getIncludedFieldsCount

      public 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;
      Specified by:
      getIncludedFieldsCount in interface BatchPredictionJob.InstanceConfigOrBuilder
      Returns:
      The count of includedFields.

    • getIncludedFields

      public 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;
      Specified by:
      getIncludedFields in interface BatchPredictionJob.InstanceConfigOrBuilder
      Parameters:
      index - The index of the element to return.
      Returns:
      The includedFields at the given index.

    • getIncludedFieldsBytes

      public 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;
      Specified by:
      getIncludedFieldsBytes in interface BatchPredictionJob.InstanceConfigOrBuilder
      Parameters:
      index - The index of the value to return.
      Returns:
      The bytes of the includedFields at the given index.

    • setIncludedFields

      public BatchPredictionJob.InstanceConfig.Builder setIncludedFields(int index, String value)
       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 to set the value at.
      value - The includedFields to set.
      Returns:
      This builder for chaining.

    • addIncludedFields

      public BatchPredictionJob.InstanceConfig.Builder addIncludedFields(String value)
       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:
      value - The includedFields to add.
      Returns:
      This builder for chaining.

    • addAllIncludedFields

      public BatchPredictionJob.InstanceConfig.Builder addAllIncludedFields(Iterable<String> values)
       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:
      values - The includedFields to add.
      Returns:
      This builder for chaining.

    • clearIncludedFields

      public BatchPredictionJob.InstanceConfig.Builder clearIncludedFields()
       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:
      This builder for chaining.

    • addIncludedFieldsBytes

      public BatchPredictionJob.InstanceConfig.Builder addIncludedFieldsBytes(com.google.protobuf.ByteString value)
       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:
      value - The bytes of the includedFields to add.
      Returns:
      This builder for chaining.

    • getExcludedFieldsList

      public com.google.protobuf.ProtocolStringList 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;
      Specified by:
      getExcludedFieldsList in interface BatchPredictionJob.InstanceConfigOrBuilder
      Returns:
      A list containing the excludedFields.

    • getExcludedFieldsCount

      public 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;
      Specified by:
      getExcludedFieldsCount in interface BatchPredictionJob.InstanceConfigOrBuilder
      Returns:
      The count of excludedFields.

    • getExcludedFields

      public 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;
      Specified by:
      getExcludedFields in interface BatchPredictionJob.InstanceConfigOrBuilder
      Parameters:
      index - The index of the element to return.
      Returns:
      The excludedFields at the given index.

    • getExcludedFieldsBytes

      public 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;
      Specified by:
      getExcludedFieldsBytes in interface BatchPredictionJob.InstanceConfigOrBuilder
      Parameters:
      index - The index of the value to return.
      Returns:
      The bytes of the excludedFields at the given index.

    • setExcludedFields

      public BatchPredictionJob.InstanceConfig.Builder setExcludedFields(int index, String value)
       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 to set the value at.
      value - The excludedFields to set.
      Returns:
      This builder for chaining.

    • addExcludedFields

      public BatchPredictionJob.InstanceConfig.Builder addExcludedFields(String value)
       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:
      value - The excludedFields to add.
      Returns:
      This builder for chaining.

    • addAllExcludedFields

      public BatchPredictionJob.InstanceConfig.Builder addAllExcludedFields(Iterable<String> values)
       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:
      values - The excludedFields to add.
      Returns:
      This builder for chaining.

    • clearExcludedFields

      public BatchPredictionJob.InstanceConfig.Builder clearExcludedFields()
       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:
      This builder for chaining.

    • addExcludedFieldsBytes

      public BatchPredictionJob.InstanceConfig.Builder addExcludedFieldsBytes(com.google.protobuf.ByteString value)
       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:
      value - The bytes of the excludedFields to add.
      Returns:
      This builder for chaining.