MLFormatRegister

Abstract Value Members

abstract def format(): String

The string that represents the format that this format provider uses.
The string that represents the format that this format provider uses. This is, along with stageName, is overridden by children to provide a nice alias for the writer. For example:
```
override def format(): String =
    "pmml"
```
Indicates that this format is capable of saving a pmml model.
Must have a valid zero argument constructor which will be called to instantiate.
Format discovery is done using a ServiceLoader so make sure to list your format in META-INF/services.
Annotations
@Since( "2.4.0" )
Since
2.4.0
abstract def stageName(): String

The string that represents the stage type that this writer supports.
The string that represents the stage type that this writer supports. This is, along with format, is overridden by children to provide a nice alias for the writer. For example:
```
override def stageName(): String =
    "org.apache.spark.ml.regression.LinearRegressionModel"
```
Indicates that this format is capable of saving Spark's own PMML model.
Format discovery is done using a ServiceLoader so make sure to list your format in META-INF/services.
Annotations
@Since( "2.4.0" )
Since
2.4.0
abstract def write(path: String, session: SparkSession, optionMap: Map[String, String], stage: PipelineStage): Unit

Function to write the provided pipeline stage out.
Function to write the provided pipeline stage out.
path
The path to write the result out to.
session
SparkSession associated with the write request.
optionMap
User provided options stored as strings.
stage
The pipeline stage to be saved.

Definition Classes
MLWriterFormat
Annotations
@Since( "2.4.0" )

Concrete Value Members

final def !=(arg0: Any): Boolean

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final def ##(): Int

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final def ==(arg0: Any): Boolean

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final def asInstanceOf[T0]: T0

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def clone(): AnyRef

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protected[java.lang]
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@throws( ... )
final def eq(arg0: AnyRef): Boolean

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def equals(arg0: Any): Boolean

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def finalize(): Unit

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protected[java.lang]
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@throws( classOf[java.lang.Throwable] )
final def getClass(): Class[_]

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def hashCode(): Int

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final def isInstanceOf[T0]: Boolean

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final def ne(arg0: AnyRef): Boolean

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final def notify(): Unit

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final def notifyAll(): Unit

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

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def toString(): String

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final def wait(): Unit

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

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Related Doc: package util

trait MLFormatRegister extends MLWriterFormat

Abstract Value Members

abstract def format(): String

abstract def stageName(): String

abstract def write(path: String, session: SparkSession, optionMap: Map[String, String], stage: PipelineStage): Unit

Concrete Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

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

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 MLWriterFormat

Inherited from AnyRef

Inherited from Any

Members