ImageFeaturizer

Instance Constructors

new ImageFeaturizer()
new ImageFeaturizer(uid: String)

uid
the uid of the image transformer

Value Members

final def !=(arg0: Any): Boolean

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

Definition Classes
AnyRef → Any
final def $[T](param: Param[T]): T

Attributes
protected
Definition Classes
Params
final def ==(arg0: Any): Boolean

Definition Classes
AnyRef → Any
def BooleanParam(i: Identifiable, name: String, description: String, default: Boolean): BooleanParam

Definition Classes
Wrappable
def BooleanParam(i: Identifiable, name: String, description: String): BooleanParam

Definition Classes
Wrappable
def DoubleParam(i: Identifiable, name: String, description: String, default: Double): DoubleParam

Definition Classes
Wrappable
def DoubleParam(i: Identifiable, name: String, description: String): DoubleParam

Definition Classes
Wrappable
def IntParam(i: Identifiable, name: String, description: String, validation: (Int) ⇒ Boolean): IntParam

Definition Classes
Wrappable
def IntParam(i: Identifiable, name: String, description: String, default: Int): IntParam

Definition Classes
Wrappable
def IntParam(i: Identifiable, name: String, description: String): IntParam

Definition Classes
Wrappable
def LongParam(i: Identifiable, name: String, description: String, default: Long): LongParam

Definition Classes
Wrappable
def LongParam(i: Identifiable, name: String, description: String): LongParam

Definition Classes
Wrappable
def StringParam(i: Identifiable, name: String, description: String, default: String, domain: Seq[String]): Param[String]

Definition Classes
Wrappable
def StringParam(i: Identifiable, name: String, description: String, default: String): Param[String]

Definition Classes
Wrappable
def StringParam(i: Identifiable, name: String, description: String, validation: (String) ⇒ Boolean): Param[String]

Definition Classes
Wrappable
def StringParam(i: Identifiable, name: String, description: String): Param[String]

Definition Classes
Wrappable
final def asInstanceOf[T0]: T0

Definition Classes
Any
def chainedUid(origin: String): String

Definition Classes
Wrappable
final def clear(param: Param[_]): ImageFeaturizer.this.type

Definition Classes
Params
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
val cntkModel: TransformerParam
def copy(extra: ParamMap): Transformer

Definition Classes
ImageFeaturizer → Transformer → PipelineStage → Params
def copyValues[T <: Params](to: T, extra: ParamMap): T

Attributes
protected
Definition Classes
Params
val cutOutputLayers: IntParam

The number of layer to cut off the endof the network; 0 leaves the network intact, 1 rmoves the output layer, etc.
final def defaultCopy[T <: Params](extra: ParamMap): T

Attributes
protected
Definition Classes
Params
val emptyCntkModel: CNTKModel
final def eq(arg0: AnyRef): Boolean

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

Definition Classes
AnyRef → Any
def explainParam(param: Param[_]): String

Definition Classes
Params
def explainParams(): String

Definition Classes
Params
final def extractParamMap(): ParamMap

Definition Classes
Params
final def extractParamMap(extra: ParamMap): ParamMap

Definition Classes
Params
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
final def get[T](param: Param[T]): Option[T]

Definition Classes
Params
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
def getCntkModel: CNTKModel
def getCutOutputLayers: Int
final def getDefault[T](param: Param[T]): Option[T]

Definition Classes
Params
def getInputCol: String

Definition Classes
HasInputCol
def getInputNode: Int
def getLayerNames: Array[String]
def getMiniBatchSize: Int
def getModel: SerializableFunction
final def getOrDefault[T](param: Param[T]): T

Definition Classes
Params
def getOutputCol: String

Definition Classes
HasOutputCol
def getParam(paramName: String): Param[Any]

Definition Classes
Params
final def hasDefault[T](param: Param[T]): Boolean

Definition Classes
Params
def hasParam(paramName: String): Boolean

Definition Classes
Params
def hashCode(): Int

Definition Classes
AnyRef → Any
def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

Attributes
protected
Definition Classes
Logging
def initializeLogIfNecessary(isInterpreter: Boolean): Unit

Attributes
protected
Definition Classes
Logging
val inputCol: Param[String]

The name of the input column
The name of the input column

Definition Classes
HasInputCol
final def isDefined(param: Param[_]): Boolean

Definition Classes
Params
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
final def isSet(param: Param[_]): Boolean

Definition Classes
Params
def isTraceEnabled(): Boolean

Attributes
protected
Definition Classes
Logging
val layerNames: StringArrayParam

Array with valid CNTK nodes to choose from; the first entries of this array should be closer to the output node.
def log: Logger

Attributes
protected
Definition Classes
Logging
def logDebug(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logDebug(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
def logError(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logError(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
def logInfo(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logInfo(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
def logName: String

Attributes
protected
Definition Classes
Logging
def logTrace(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logTrace(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
def logWarning(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logWarning(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
val outputCol: Param[String]

The name of the output column
The name of the output column

Definition Classes
HasOutputCol
val paramDomains: Map[String, Seq[String]]

Definition Classes
Wrappable
lazy val params: Array[Param[_]]

Definition Classes
Params
def save(path: String): Unit

Definition Classes
MLWritable
Annotations
@Since( "1.6.0" ) @throws( ... )
final def set(paramPair: ParamPair[_]): ImageFeaturizer.this.type

Attributes
protected
Definition Classes
Params
final def set(param: String, value: Any): ImageFeaturizer.this.type

Attributes
protected
Definition Classes
Params
final def set[T](param: Param[T], value: T): ImageFeaturizer.this.type

Definition Classes
Params
def setCntkModel(value: CNTKModel): ImageFeaturizer.this.type
def setCutOutputLayers(value: Int): ImageFeaturizer.this.type
final def setDefault(paramPairs: ParamPair[_]*): ImageFeaturizer.this.type

Attributes
protected
Definition Classes
Params
final def setDefault[T](param: Param[T], value: T): ImageFeaturizer.this.type

Attributes
protected
Definition Classes
Params
def setInputCol(value: String): ImageFeaturizer.this.type

Definition Classes
HasInputCol
def setInputNode(value: Int): ImageFeaturizer.this.type
def setLayerNames(value: Array[String]): ImageFeaturizer.this.type
def setMiniBatchSize(value: Int): ImageFeaturizer.this.type
def setModel(model: SerializableFunction): ImageFeaturizer.this.type
def setModel(modelSchema: ModelSchema): ImageFeaturizer.this.type
def setModelLocation(path: String): ImageFeaturizer.this.type
def setOutputCol(value: String): ImageFeaturizer.this.type

Definition Classes
HasOutputCol
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
Identifiable → AnyRef → Any
def transform(dataset: Dataset[_]): DataFrame

Definition Classes
ImageFeaturizer → Transformer
def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

Definition Classes
Transformer
Annotations
@Since( "2.0.0" )
def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame

Definition Classes
Transformer
Annotations
@Since( "2.0.0" ) @varargs()
def transformSchema(schema: StructType): StructType

Add the features column to the schema
Add the features column to the schema
returns
schema with features column

Definition Classes
ImageFeaturizer → PipelineStage
def transformSchema(schema: StructType, logging: Boolean): StructType

Attributes
protected
Definition Classes
PipelineStage
Annotations
@DeveloperApi()
val uid: String

the uid of the image transformer
the uid of the image transformer

Definition Classes
ImageFeaturizer → Identifiable
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( ... )
def write: MLWriter

Definition Classes
ComplexParamsWritable → MLWritable

Inherited from ComplexParamsWritable

Inherited from MLWritable

Inherited from HasOutputCol

Inherited from HasInputCol

Inherited from Wrappable

Inherited from Transformer

Inherited from PipelineStage

Inherited from org.apache.spark.internal.Logging

Inherited from Params

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Parameters

A list of parameter keys this algorithm can take. Users can set and get the parameter values through setters and getters

Parameter setters

Parameter getters

Members

Related Docs: object ImageFeaturizer | package spark

class ImageFeaturizer extends Transformer with HasInputCol with HasOutputCol with Wrappable with ComplexParamsWritable

Instance Constructors

new ImageFeaturizer()

new ImageFeaturizer(uid: String)

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def $[T](param: Param[T]): T

final def ==(arg0: Any): Boolean

def BooleanParam(i: Identifiable, name: String, description: String, default: Boolean): BooleanParam

def BooleanParam(i: Identifiable, name: String, description: String): BooleanParam

def DoubleParam(i: Identifiable, name: String, description: String, default: Double): DoubleParam

def DoubleParam(i: Identifiable, name: String, description: String): DoubleParam

def IntParam(i: Identifiable, name: String, description: String, validation: (Int) ⇒ Boolean): IntParam

def IntParam(i: Identifiable, name: String, description: String, default: Int): IntParam

def IntParam(i: Identifiable, name: String, description: String): IntParam

def LongParam(i: Identifiable, name: String, description: String, default: Long): LongParam

def LongParam(i: Identifiable, name: String, description: String): LongParam

def StringParam(i: Identifiable, name: String, description: String, default: String, domain: Seq[String]): Param[String]

def StringParam(i: Identifiable, name: String, description: String, default: String): Param[String]

def StringParam(i: Identifiable, name: String, description: String, validation: (String) ⇒ Boolean): Param[String]

def StringParam(i: Identifiable, name: String, description: String): Param[String]

final def asInstanceOf[T0]: T0

def chainedUid(origin: String): String

final def clear(param: Param[_]): ImageFeaturizer.this.type

def clone(): AnyRef

val cntkModel: TransformerParam

def copy(extra: ParamMap): Transformer

def copyValues[T <: Params](to: T, extra: ParamMap): T

val cutOutputLayers: IntParam

final def defaultCopy[T <: Params](extra: ParamMap): T

val emptyCntkModel: CNTKModel

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def explainParam(param: Param[_]): String

def explainParams(): String

final def extractParamMap(): ParamMap

final def extractParamMap(extra: ParamMap): ParamMap

def finalize(): Unit

final def get[T](param: Param[T]): Option[T]

final def getClass(): Class[_]

def getCntkModel: CNTKModel

def getCutOutputLayers: Int

final def getDefault[T](param: Param[T]): Option[T]

def getInputCol: String

def getInputNode: Int

def getLayerNames: Array[String]

def getMiniBatchSize: Int

def getModel: SerializableFunction

final def getOrDefault[T](param: Param[T]): T

def getOutputCol: String

def getParam(paramName: String): Param[Any]

final def hasDefault[T](param: Param[T]): Boolean

def hasParam(paramName: String): Boolean

def hashCode(): Int

def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

def initializeLogIfNecessary(isInterpreter: Boolean): Unit

val inputCol: Param[String]

final def isDefined(param: Param[_]): Boolean

final def isInstanceOf[T0]: Boolean

final def isSet(param: Param[_]): Boolean

def isTraceEnabled(): Boolean

val layerNames: StringArrayParam

def log: Logger

def logDebug(msg: ⇒ String, throwable: Throwable): Unit

def logDebug(msg: ⇒ String): Unit

def logError(msg: ⇒ String, throwable: Throwable): Unit

def logError(msg: ⇒ String): Unit

def logInfo(msg: ⇒ String, throwable: Throwable): Unit

def logInfo(msg: ⇒ String): Unit

def logName: String

def logTrace(msg: ⇒ String, throwable: Throwable): Unit

def logTrace(msg: ⇒ String): Unit

def logWarning(msg: ⇒ String, throwable: Throwable): Unit

def logWarning(msg: ⇒ String): Unit

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit