MLTransformer

abstract def fit(): MLTransformer.this.type

Fit a model with the current data

abstract def loadModel(): MLTransformer.this.type

Load a model from a given path

abstract val modelPath: Path

abstract def saveModel(): MLTransformer.this.type

Save the current model

abstract def transform(): MLTransformer.this.type

Transform the current data

abstract def transformed: T

Get the transformed data

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

def getCanonicalName: String

final def getClass(): Class[_]

def getUUID: UUID

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

def log: Logger

def logDebug(msg: ⇒ String): Unit

def logError(msg: ⇒ String): Unit

def logInfo(msg: ⇒ String): Unit

def logName: String

def logTrace(msg: ⇒ String): Unit

def logWarning(msg: ⇒ String): Unit

var model: M

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

var overwriteModel: Boolean

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