Spark 3.5.5 ScalaDoc - org.apache.spark.mllib.classification.LogisticRegressionWithLBFGS (original) (raw)

class LogisticRegressionWithLBFGS extends GeneralizedLinearAlgorithm[LogisticRegressionModel] with Serializable

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Inherited

1. LogisticRegressionWithLBFGS

2. GeneralizedLinearAlgorithm

3. Serializable

4. Serializable

5. Logging

6. AnyRef

7. Any

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Instance Constructors

1.  new LogisticRegressionWithLBFGS()

Value Members

1.  final def !=(arg0: Any): Boolean
2.  final def ##(): Int
3.  final def ==(arg0: Any): Boolean
4.  var addIntercept: Boolean
5.  final def asInstanceOf[T0]: T0
6.  def clone(): AnyRef
7.  def createModel(weights: Vector, intercept: Double): LogisticRegressionModel
8.  final def eq(arg0: AnyRef): Boolean
9.  def equals(arg0: Any): Boolean
10.  def finalize(): Unit
11.  def generateInitialWeights(input: RDD[LabeledPoint]): Vector
12.  final def getClass(): Class[_]
13.  def getNumFeatures: Int
14.  def hashCode(): Int
15.  def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
16.  def initializeLogIfNecessary(isInterpreter: Boolean): Unit
17.  def isAddIntercept: Boolean
18.  final def isInstanceOf[T0]: Boolean
19.  def isTraceEnabled(): Boolean
20.  def log: Logger
21.  def logDebug(msg: ⇒ String, throwable: Throwable): Unit
22.  def logDebug(msg: ⇒ String): Unit
23.  def logError(msg: ⇒ String, throwable: Throwable): Unit
24.  def logError(msg: ⇒ String): Unit
25.  def logInfo(msg: ⇒ String, throwable: Throwable): Unit
26.  def logInfo(msg: ⇒ String): Unit
27.  def logName: String
28.  def logTrace(msg: ⇒ String, throwable: Throwable): Unit
29.  def logTrace(msg: ⇒ String): Unit
30.  def logWarning(msg: ⇒ String, throwable: Throwable): Unit
31.  def logWarning(msg: ⇒ String): Unit
32.  final def ne(arg0: AnyRef): Boolean
33.  final def notify(): Unit
34.  final def notifyAll(): Unit
35.  var numFeatures: Int
36.  var numOfLinearPredictor: Int
37.  val optimizer: LBFGS
38.  def run(input: RDD[LabeledPoint], initialWeights: Vector): LogisticRegressionModel
39.  def run(input: RDD[LabeledPoint]): LogisticRegressionModel
40.  def setIntercept(addIntercept: Boolean): LogisticRegressionWithLBFGS.this.type
41.  def setNumClasses(numClasses: Int): LogisticRegressionWithLBFGS.this.type
42.  def setValidateData(validateData: Boolean): LogisticRegressionWithLBFGS.this.type
43.  final def synchronized[T0](arg0: ⇒ T0): T0
44.  def toString(): String
45.  var validateData: Boolean
46.  val validators: List[(RDD[LabeledPoint]) ⇒ Boolean]
47.  final def wait(): Unit
48.  final def wait(arg0: Long, arg1: Int): Unit
49.  final def wait(arg0: Long): Unit

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