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1.  final def !=(arg0: Any): Boolean

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2.  final def ##(): Int

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3.  final def ==(arg0: Any): Boolean

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4.  final def asInstanceOf[T0]: T0

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5.  def clone(): AnyRef

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   protected[java.lang]

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6.  final def eq(arg0: AnyRef): Boolean

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7.  def equals(arg0: Any): Boolean

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8.  def finalize(): Unit

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9.  final def getClass(): Class[_]

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10.  def hashCode(): Int

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11.  def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean = false): Boolean

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    Logging

12.  def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    protected

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13.  final def isInstanceOf[T0]: Boolean

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    Any

14.  def isTraceEnabled(): Boolean

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15.  def log: Logger

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

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    protected

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17.  def logDebug(msg: ⇒ String): Unit

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

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    protected

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19.  def logError(msg: ⇒ String): Unit

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

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21.  def logInfo(msg: ⇒ String): Unit

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22.  def logName: String

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

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    protected

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24.  def logTrace(msg: ⇒ String): Unit

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

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26.  def logWarning(msg: ⇒ String): Unit

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27.  final def ne(arg0: AnyRef): Boolean

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28.  final def notify(): Unit

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29.  final def notifyAll(): Unit

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30.  def option(key: String, value: String): TrainValidationSplitModelWriter.this.type

    Adds an option to the underlying MLWriter.

    Adds an option to the underlying MLWriter. See the documentation for the specific model's writer for possible options. The option name (key) is case-insensitive.

    Definition Classes

    MLWriter

    Annotations

    @Since( "2.3.0" )

31.  val optionMap: Map[String, String]

    Map to store extra options for this writer.

    Map to store extra options for this writer.

    Attributes

    protected

    Definition Classes

    MLWriter

32.  def overwrite(): TrainValidationSplitModelWriter.this.type

    Overwrites if the output path already exists.

    Overwrites if the output path already exists.

    Definition Classes

    MLWriter

    Annotations

    @Since( "1.6.0" )

33.  def save(path: String): Unit

    Saves the ML instances to the input path.

    Saves the ML instances to the input path.

    Definition Classes

    MLWriter

    Annotations

    @Since( "1.6.0" ) @throws( ... )

34.  def saveImpl(path: String): Unit

    save() handles overwriting and then calls this method.

    save() handles overwriting and then calls this method. Subclasses should override this method to implement the actual saving of the instance.

    Attributes

    protected

    Definition Classes

    TrainValidationSplitModelWriter → MLWriter

35.  final def sc: SparkContext

    Returns the underlying SparkContext.

    Returns the underlying SparkContext.

    Attributes

    protected

    Definition Classes

    BaseReadWrite

36.  def session(sparkSession: SparkSession): TrainValidationSplitModelWriter.this.type

    Sets the Spark Session to use for saving/loading.

    Sets the Spark Session to use for saving/loading.

    Definition Classes

    MLWriter → BaseReadWrite

    Annotations

    @Since( "1.6.0" )

37.  var shouldOverwrite: Boolean

    Attributes

    protected

    Definition Classes

    MLWriter

38.  final def sparkSession: SparkSession

    Returns the user-specified Spark Session or the default.

    Returns the user-specified Spark Session or the default.

    Attributes

    protected

    Definition Classes

    BaseReadWrite

39.  final def sqlContext: SQLContext

    Returns the user-specified SQL context or the default.

    Returns the user-specified SQL context or the default.

    Attributes

    protected

    Definition Classes

    BaseReadWrite

40.  final def synchronized[T0](arg0: ⇒ T0): T0

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41.  def toString(): String

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42.  final def wait(): Unit

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

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    @throws( ... )

44.  final def wait(arg0: Long): Unit

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