ClassifierReal

Instance Constructors

new ClassifierReal(x: Matrix, y: VectorI, fn: Array[String], k: Int, cn: Array[String])

x
the real-valued training data vectors stored as rows of a matrix
y
the training classification vector, where y_i = class for row i of the matrix x
fn
the names for all features/variables
k
the number of classes
cn
the names for all classes

Abstract Value Members

abstract def classify(z: VectorD): (Int, String)

Given a new continuous data vector z, determine which class it belongs to.
Given a new continuous data vector z, determine which class it belongs to.
z
the vector to classify

Definition Classes
Classifier
abstract def train(): Unit

Given a set of data vectors and their classifications, build a classifier.
Given a set of data vectors and their classifications, build a classifier.

Definition Classes
Classifier

Concrete Value Members

final def !=(arg0: Any): Boolean

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

Definition Classes
AnyRef → Any
final def ==(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def asInstanceOf[T0]: T0

Definition Classes
Any
def classify(z: VectorI): (Int, String)

Given a new discrete (integer-valued) data vector 'z', determine which class it belongs to, by first converting it to a vector of doubles.
Given a new discrete (integer-valued) data vector 'z', determine which class it belongs to, by first converting it to a vector of doubles.
z
the vector to classify

Definition Classes
ClassifierReal → Classifier
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
final def eq(arg0: AnyRef): Boolean

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

Definition Classes
AnyRef → Any
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
def flaw(method: String, message: String): Unit

Show the flaw by printing the error message.
Show the flaw by printing the error message.
method
the method where the error occurred
message
the error message

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

Definition Classes
AnyRef → Any
def hashCode(): Int

Definition Classes
AnyRef → Any
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
val m: Int

the number of data vectors in training-set (# rows)
the number of data vectors in training-set (# rows)

Attributes
protected
val md: Double

the training-set size as a Double
the training-set size as a Double

Attributes
protected
val n: Int

the number of features/variables (# columns)
the number of features/variables (# columns)

Attributes
protected
val nd: Double

the feature-set size as a Double
the feature-set size as a Double

Attributes
protected
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

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

Definition Classes
AnyRef
def test(xx: MatrixD, yy: VectorI): Double

Test the quality of the training with a test-set and return the fraction of correct classifications.
Test the quality of the training with a test-set and return the fraction of correct classifications.
xx
the real-valued test vectors stored as rows of a matrix
yy
the test classification vector, where yy_i = class for row i of xx
def toString(): String

Definition Classes
AnyRef → Any
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( ... )

Related Doc: package analytics

abstract class ClassifierReal extends Classifier with Error

Instance Constructors

new ClassifierReal(x: Matrix, y: VectorI, fn: Array[String], k: Int, cn: Array[String])

Abstract Value Members

abstract def classify(z: VectorD): (Int, String)

abstract def train(): Unit

Concrete Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def classify(z: VectorI): (Int, String)

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

def flaw(method: String, message: String): Unit

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

val m: Int

val md: Double

val n: Int

val nd: Double

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

final def synchronized[T0](arg0: ⇒ T0): T0

def test(xx: MatrixD, yy: VectorI): Double

def toString(): String

final def wait(): Unit

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

final def wait(arg0: Long): Unit

Inherited from Error

Inherited from Classifier

Inherited from AnyRef

Inherited from Any

Ungrouped