ExtendedMultivariateOnlineSummarizer

Instance Constructors

new ExtendedMultivariateOnlineSummarizer(dimension: Int, compression: Double)

dimension
Expected dimension of vectors to aggregate
compression
How should accuracy be traded for size? A value of N here will give quantile errors almost always less than 3/N with considerably smaller errors expected for extreme quantiles. Conversely, you should expect to track about 5 N centroids for this accuracy.

Value Members

final def !=(arg0: AnyRef): Boolean

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

Definition Classes
Any
final def ##(): Int

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

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

Definition Classes
Any
def add(sample: Vector): ExtendedMultivariateOnlineSummarizer.this.type

Definition Classes
ExtendedMultivariateOnlineSummarizer → MultivariateOnlineSummarizer
final def asInstanceOf[T0]: T0

Definition Classes
Any
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
val compression: Double

How should accuracy be traded for size? A value of N here will give quantile errors almost always less than 3/N with considerably smaller errors expected for extreme quantiles.
How should accuracy be traded for size? A value of N here will give quantile errors almost always less than 3/N with considerably smaller errors expected for extreme quantiles. Conversely, you should expect to track about 5 N centroids for this accuracy.
def count: Long

Definition Classes
MultivariateOnlineSummarizer → MultivariateStatisticalSummary
Annotations
@Since( "1.1.0" )
val dimension: Int

Expected dimension of vectors to aggregate
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] )
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
def hashCode(): Int

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

Definition Classes
Any
def isTraceEnabled(): Boolean

Attributes
protected
Definition Classes
Logging
def log: Logger

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

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

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

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

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

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

Attributes
protected
Definition Classes
Logging
def logName: String

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

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

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

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

Attributes
protected
Definition Classes
Logging
def max: Vector

Definition Classes
MultivariateOnlineSummarizer → MultivariateStatisticalSummary
Annotations
@Since( "1.1.0" )
def mean: Vector

Definition Classes
MultivariateOnlineSummarizer → MultivariateStatisticalSummary
Annotations
@Since( "1.1.0" )
def merge(other: MultivariateOnlineSummarizer): ExtendedMultivariateOnlineSummarizer.this.type

Definition Classes
ExtendedMultivariateOnlineSummarizer → MultivariateOnlineSummarizer
def min: Vector

Definition Classes
MultivariateOnlineSummarizer → MultivariateStatisticalSummary
Annotations
@Since( "1.1.0" )
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def normL1: Vector

Definition Classes
MultivariateOnlineSummarizer → MultivariateStatisticalSummary
Annotations
@Since( "1.2.0" )
def normL2: Vector

Definition Classes
MultivariateOnlineSummarizer → MultivariateStatisticalSummary
Annotations
@Since( "1.2.0" )
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
def numNonzeros: Vector

Definition Classes
MultivariateOnlineSummarizer → MultivariateStatisticalSummary
Annotations
@Since( "1.1.0" )
def percentile(p: Double): Vector
val percentileAggregators: Array[SeriallizableAvlTreeDigest]
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
AnyRef → Any
def variance: Vector

Definition Classes
MultivariateOnlineSummarizer → MultivariateStatisticalSummary
Annotations
@Since( "1.1.0" )
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( ... )

class ExtendedMultivariateOnlineSummarizer extends MultivariateOnlineSummarizer with Serializable with Logging

Instance Constructors

new ExtendedMultivariateOnlineSummarizer(dimension: Int, compression: 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

def add(sample: Vector): ExtendedMultivariateOnlineSummarizer.this.type

final def asInstanceOf[T0]: T0

def clone(): AnyRef

val compression: Double

def count: Long

val dimension: Int

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

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 max: Vector

def mean: Vector

def merge(other: MultivariateOnlineSummarizer): ExtendedMultivariateOnlineSummarizer.this.type

def min: Vector

final def ne(arg0: AnyRef): Boolean

def normL1: Vector

def normL2: Vector

final def notify(): Unit

final def notifyAll(): Unit

def numNonzeros: Vector

def percentile(p: Double): Vector

val percentileAggregators: Array[SeriallizableAvlTreeDigest]

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

def toString(): String

def variance: Vector

final def wait(): Unit

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

final def wait(arg0: Long): Unit

Inherited from Logging

Inherited from MultivariateOnlineSummarizer

Inherited from Serializable

Inherited from Serializable

Inherited from MultivariateStatisticalSummary

Inherited from AnyRef

Inherited from Any

Ungrouped