Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from http://spark.apache.org/docs/latest/api/scala/org/apache/spark/ml/feature/MinMaxScalerModel.html below:

Spark 4.0.0 ScalaDoc - org.apache.spark.ml.feature.MinMaxScalerModel



1. Grouped
2. Alphabetic
3. By Inheritance

1. MinMaxScalerModel
2. MLWritable
3. MinMaxScalerParams
4. HasOutputCol
5. HasInputCol
6. Model
7. Transformer
8. PipelineStage
9. Logging
10. Params
11. Serializable
12. Identifiable
13. AnyRef
14. Any

1. Public
2. Protected

1.  implicit class LogStringContext extends AnyRef

1.  final def !=(arg0: Any): Boolean
2.  final def ##: Int
3.  final def $[T](param: Param[T]): T
4.  final def ==(arg0: Any): Boolean
5.  final def asInstanceOf[T0]: T0
6.  final def clear(param: Param[_]): MinMaxScalerModel.this.type
7.  def clone(): AnyRef
8.  def copy(extra: ParamMap): MinMaxScalerModel
9.  def copyValues[T <: Params](to: T, extra: ParamMap = ParamMap.empty): T
10.  final def defaultCopy[T <: Params](extra: ParamMap): T
11.  final def eq(arg0: AnyRef): Boolean
12.  def equals(arg0: AnyRef): Boolean
13.  def explainParam(param: Param[_]): String
14.  def explainParams(): String
15.  final def extractParamMap(): ParamMap
16.  final def extractParamMap(extra: ParamMap): ParamMap
17.  final def get[T](param: Param[T]): Option[T]
18.  final def getClass(): Class[_ <: AnyRef]
19.  final def getDefault[T](param: Param[T]): Option[T]
20.  final def getInputCol: String
21.  def getMax: Double
22.  def getMin: Double
23.  final def getOrDefault[T](param: Param[T]): T
24.  final def getOutputCol: String
25.  def getParam(paramName: String): Param[Any]
26.  final def hasDefault[T](param: Param[T]): Boolean
27.  def hasParam(paramName: String): Boolean
28.  def hasParent: Boolean
29.  def hashCode(): Int
30.  def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
31.  def initializeLogIfNecessary(isInterpreter: Boolean): Unit
32.  final val inputCol: Param[String]
33.  final def isDefined(param: Param[_]): Boolean
34.  final def isInstanceOf[T0]: Boolean
35.  final def isSet(param: Param[_]): Boolean
36.  def isTraceEnabled(): Boolean
37.  def log: Logger
38.  def logDebug(msg: => String, throwable: Throwable): Unit
39.  def logDebug(entry: LogEntry, throwable: Throwable): Unit
40.  def logDebug(entry: LogEntry): Unit
41.  def logDebug(msg: => String): Unit
42.  def logError(msg: => String, throwable: Throwable): Unit
43.  def logError(entry: LogEntry, throwable: Throwable): Unit
44.  def logError(entry: LogEntry): Unit
45.  def logError(msg: => String): Unit
46.  def logInfo(msg: => String, throwable: Throwable): Unit
47.  def logInfo(entry: LogEntry, throwable: Throwable): Unit
48.  def logInfo(entry: LogEntry): Unit
49.  def logInfo(msg: => String): Unit
50.  def logName: String
51.  def logTrace(msg: => String, throwable: Throwable): Unit
52.  def logTrace(entry: LogEntry, throwable: Throwable): Unit
53.  def logTrace(entry: LogEntry): Unit
54.  def logTrace(msg: => String): Unit
55.  def logWarning(msg: => String, throwable: Throwable): Unit
56.  def logWarning(entry: LogEntry, throwable: Throwable): Unit
57.  def logWarning(entry: LogEntry): Unit
58.  def logWarning(msg: => String): Unit
59.  val max: DoubleParam
60.  val min: DoubleParam
61.  final def ne(arg0: AnyRef): Boolean
62.  final def notify(): Unit
63.  final def notifyAll(): Unit
64.  val originalMax: Vector
65.  val originalMin: Vector
66.  final val outputCol: Param[String]
67.  lazy val params: Array[Param[_]]
68.  var parent: Estimator[MinMaxScalerModel]
69.  def save(path: String): Unit
70.  final def set(paramPair: ParamPair[_]): MinMaxScalerModel.this.type
71.  final def set(param: String, value: Any): MinMaxScalerModel.this.type
72.  final def set[T](param: Param[T], value: T): MinMaxScalerModel.this.type
73.  final def setDefault(paramPairs: ParamPair[_]*): MinMaxScalerModel.this.type
74.  final def setDefault[T](param: Param[T], value: T): MinMaxScalerModel.this.type
75.  def setInputCol(value: String): MinMaxScalerModel.this.type
76.  def setMax(value: Double): MinMaxScalerModel.this.type
77.  def setMin(value: Double): MinMaxScalerModel.this.type
78.  def setOutputCol(value: String): MinMaxScalerModel.this.type
79.  def setParent(parent: Estimator[MinMaxScalerModel]): MinMaxScalerModel
80.  final def synchronized[T0](arg0: => T0): T0
81.  def toString(): String
82.  def transform(dataset: Dataset[_]): DataFrame
83.  def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
84.  def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
85.  def transformSchema(schema: StructType): StructType
86.  def transformSchema(schema: StructType, logging: Boolean): StructType
87.  val uid: String
88.  def validateAndTransformSchema(schema: StructType): StructType
89.  final def wait(arg0: Long, arg1: Int): Unit
90.  final def wait(arg0: Long): Unit
91.  final def wait(): Unit
92.  def withLogContext(context: Map[String, String])(body: => Unit): Unit
93.  def write: MLWriter

1.  def finalize(): Unit

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4