LinearLearnerRegressorProtobufResponseRowDeserializer

Instance Constructors

new LinearLearnerRegressorProtobufResponseRowDeserializer(scoreColumnName: String = "score")

scoreColumnName
name of the column of Doubles indicating the output score for the record.

Value Members

final def !=(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def ##(): Int

Definition Classes
AnyRef → Any
final def ==(arg0: Any): Boolean

Definition Classes
AnyRef → Any
val accepts: String

Returns com.amazonaws.services.sagemaker.sparksdk.transformation.ContentTypes.PROTOBUF
Returns com.amazonaws.services.sagemaker.sparksdk.transformation.ContentTypes.PROTOBUF

Definition Classes
ProtobufResponseRowDeserializer → ResponseRowDeserializer
final def asInstanceOf[T0]: T0

Definition Classes
Any
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
def deserializeResponse(responseData: Array[Byte]): Iterator[Row]

Deserialize a SageMaker response containing a byte array of record-IO encoded SageMaker Protobuf records.
Deserialize a SageMaker response containing a byte array of record-IO encoded SageMaker Protobuf records.
responseData
The Array[Byte] containing the Protobuf-in-recordIO response
returns
An Iterator over deserialized Rows

Definition Classes
ProtobufResponseRowDeserializer → ResponseRowDeserializer
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def equals(arg0: Any): Boolean

Definition Classes
AnyRef → Any
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
def hashCode(): Int

Definition Classes
AnyRef → Any
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
val protobufKeys: Option[Seq[String]]

The keys for each output in the Protobuf response.
The keys for each output in the Protobuf response.

Definition Classes
ProtobufResponseRowDeserializer
val schema: StructType

The schema of rows in the response.
The schema of rows in the response.

Definition Classes
ProtobufResponseRowDeserializer → ResponseRowDeserializer
val scoreColumnName: String

name of the column of Doubles indicating the output score for the record.
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
AnyRef → Any
final def wait(): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long, arg1: Int): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )

Related Doc: package deserializers

class LinearLearnerRegressorProtobufResponseRowDeserializer extends ProtobufResponseRowDeserializer

Instance Constructors

new LinearLearnerRegressorProtobufResponseRowDeserializer(scoreColumnName: String = "score")

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

val accepts: String

final def asInstanceOf[T0]: T0

def clone(): AnyRef

def deserializeResponse(responseData: Array[Byte]): Iterator[Row]

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

val protobufKeys: Option[Seq[String]]

val schema: StructType

val scoreColumnName: String

final def synchronized[T0](arg0: ⇒ T0): T0

def toString(): String

final def wait(): Unit

final def wait(arg0: Long, arg1: Int): Unit

final def wait(arg0: Long): Unit

Inherited from ProtobufResponseRowDeserializer

Inherited from ResponseRowDeserializer

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped