RegressionMetrics

Instance Constructors

new RegressionMetrics(predictionAndObservations: RDD[(Double, Double)])

predictionAndObservations
an RDD of (prediction, observation) pairs.

Annotations
@Since( "1.2.0" )

Value Members

final def !=(arg0: AnyRef): Boolean

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final def !=(arg0: Any): Boolean

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final def ##(): Int

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final def ==(arg0: AnyRef): Boolean

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final def ==(arg0: Any): Boolean

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final def asInstanceOf[T0]: T0

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def clone(): AnyRef

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

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def equals(arg0: Any): Boolean

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def explainedVariance: Double

Returns the variance explained by regression.
Returns the variance explained by regression. explainedVariance = \sum_i (\hat{y_i} - \bar{y})^2 / n

Annotations
@Since( "1.2.0" )
See also
https://en.wikipedia.org/wiki/Fraction_of_variance_unexplained
def finalize(): Unit

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protected[java.lang]
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@throws( classOf[java.lang.Throwable] )
final def getClass(): Class[_]

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def hashCode(): Int

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final def isInstanceOf[T0]: Boolean

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def isTraceEnabled(): Boolean

Attributes
protected
Definition Classes
Logging
def log: Logger

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protected
Definition Classes
Logging
def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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protected
Definition Classes
Logging
def logDebug(msg: ⇒ String): Unit

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protected
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Logging
def logError(msg: ⇒ String, throwable: Throwable): Unit

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protected
Definition Classes
Logging
def logError(msg: ⇒ String): Unit

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protected
Definition Classes
Logging
def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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protected
Definition Classes
Logging
def logInfo(msg: ⇒ String): Unit

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protected
Definition Classes
Logging
def logName: String

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protected
Definition Classes
Logging
def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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protected
Definition Classes
Logging
def logTrace(msg: ⇒ String): Unit

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protected
Definition Classes
Logging
def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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protected
Definition Classes
Logging
def logWarning(msg: ⇒ String): Unit

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protected
Definition Classes
Logging
def meanAbsoluteError: Double

Returns the mean absolute error, which is a risk function corresponding to the expected value of the absolute error loss or l1-norm loss.
Returns the mean absolute error, which is a risk function corresponding to the expected value of the absolute error loss or l1-norm loss.

Annotations
@Since( "1.2.0" )
def meanSquaredError: Double

Returns the mean squared error, which is a risk function corresponding to the expected value of the squared error loss or quadratic loss.
Returns the mean squared error, which is a risk function corresponding to the expected value of the squared error loss or quadratic loss.

Annotations
@Since( "1.2.0" )
final def ne(arg0: AnyRef): Boolean

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final def notify(): Unit

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final def notifyAll(): Unit

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def r2: Double

Returns R², the unadjusted coefficient of determination.
Returns R², the unadjusted coefficient of determination.

Annotations
@Since( "1.2.0" )
See also
http://en.wikipedia.org/wiki/Coefficient_of_determination
def rootMeanSquaredError: Double

Returns the root mean squared error, which is defined as the square root of the mean squared error.
Returns the root mean squared error, which is defined as the square root of the mean squared error.

Annotations
@Since( "1.2.0" )
final def synchronized[T0](arg0: ⇒ T0): T0

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def toString(): String

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final def wait(): Unit

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

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@throws( ... )
final def wait(arg0: Long): Unit

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@throws( ... )

class RegressionMetrics extends Logging

Instance Constructors

new RegressionMetrics(predictionAndObservations: RDD[(Double, Double)])

Value Members

final def !=(arg0: AnyRef): Boolean

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: AnyRef): Boolean

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 explainedVariance: Double

def finalize(): Unit

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

def isTraceEnabled(): Boolean

def log: Logger

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

def logDebug(msg: ⇒ String): Unit

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

def logError(msg: ⇒ String): Unit

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

def logInfo(msg: ⇒ String): Unit

def logName: String

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

def logTrace(msg: ⇒ String): Unit

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

def logWarning(msg: ⇒ String): Unit

def meanAbsoluteError: Double

def meanSquaredError: Double

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def r2: Double

def rootMeanSquaredError: Double

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

Inherited from Logging

Inherited from AnyRef

Inherited from Any

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