RegressionMetrics

Instance Constructors

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

Annotations
@Since( "1.2.0" )
new RegressionMetrics(predictionAndObservations: RDD[(Double, Double)], throughOrigin: Boolean)

predictionAndObservations
an RDD of (prediction, observation) pairs
throughOrigin
True if the regression is through the origin. For example, in linear regression, it will be true without fitting intercept.

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@Since( "2.0.0" )

Value Members

final def !=(arg0: Any): Boolean

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final def ##(): Int

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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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def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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protected
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final def isInstanceOf[T0]: Boolean

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def isTraceEnabled(): Boolean

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protected
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def log: Logger

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

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protected
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def logDebug(msg: ⇒ String): Unit

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

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protected
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def logError(msg: ⇒ String): Unit

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

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protected
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def logInfo(msg: ⇒ String): Unit

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protected
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def logName: String

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

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Logging
def logTrace(msg: ⇒ String): Unit

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

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

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protected
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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.

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@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
J. G. Eisenhauer, Regression through the Origin. Teaching Statistics 25, 76-80 (2003) https://online.stat.psu.edu/~ajw13/stat501/SpecialTopics/Reg_thru_origin.pdf
http://en.wikipedia.org/wiki/Coefficient_of_determination In case of regression through the origin, the definition of R² is to be modified.
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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final def wait(arg0: Long): Unit

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Related Doc: package evaluation

class RegressionMetrics extends Logging

Instance Constructors

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

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

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

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

def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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

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