DescriptiveStats

Instance Constructors

new DescriptiveStats(sft: SimpleFeatureType, properties: Seq[String])

Type Members

type S = DescriptiveStats

Definition Classes
DescriptiveStats → Stat

Value Members

final def !=(arg0: Any): Boolean

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

Definition Classes
AnyRef → Any
def +(that: DescriptiveStats): DescriptiveStats

Combine two stats into a new stat
Combine two stats into a new stat

Definition Classes
DescriptiveStats → Stat
def +(other: Stat)(implicit d: DummyImplicit): Stat

Non type-safe add - if stats are not the same type, will throw an exception
Non type-safe add - if stats are not the same type, will throw an exception
other
the other stat to add

Definition Classes
Stat
def +=(that: DescriptiveStats): Unit

Add another stat to this stat.
Add another stat to this stat. Avoids allocating another object.

Definition Classes
DescriptiveStats → Stat
def +=(other: Stat)(implicit d: DummyImplicit): Unit

Non type-safe add - if stats are not the same type, will throw an exception
Non type-safe add - if stats are not the same type, will throw an exception
other
the other stat to add

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

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

Definition Classes
Any
def bounds: Array[(Double, Double)]
def centralMoment2: Array[Double]
def centralMoment3: Array[Double]
def centralMoment4: Array[Double]
def clear(): Unit

Clears the stat to its original state when first initialized.
Clears the stat to its original state when first initialized. Necessary method used by the StatIterator.

Definition Classes
DescriptiveStats → Stat
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
def coMoment2: Array[Double]
def copyFrom(that: DescriptiveStats): Unit
def count: Long
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
def isEmpty: Boolean

Necessary method used by the StatIterator.
Necessary method used by the StatIterator. Indicates if the stat has any values or not
returns
true if stat contains values

Definition Classes
DescriptiveStats → Stat
def isEquivalent(other: Stat): Boolean

Compares the two stats for equivalence.
Compares the two stats for equivalence. We don't use standard 'equals' as it gets messy with mutable state and hash codes
other
other stat to compare
returns
true if equals

Definition Classes
DescriptiveStats → Stat
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
def maximum: Array[Double]
def mean: Array[Double]
def minimum: Array[Double]
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
def observe(sf: SimpleFeature): Unit

Compute statistics based upon the given simple feature.
Compute statistics based upon the given simple feature. This method will be called for every SimpleFeature a query returns.
sf
feature to evaluate

Definition Classes
DescriptiveStats → Stat
def populationCorrelation: Array[Double]
def populationCovariance: Array[Double]
def populationExcessKurtosis: Array[Double]
def populationKurtosis: Array[Double]
def populationSkewness: Array[Double]
def populationStandardDeviation: Array[Double]
def populationVariance: Array[Double]
val properties: Seq[String]
def sampleCorrelation: Array[Double]
def sampleCovariance: Array[Double]
def sampleExcessKurtosis: Array[Double]
def sampleKurtosis: Array[Double]
def sampleSkewness: Array[Double]
def sampleStandardDeviation: Array[Double]
def sampleVariance: Array[Double]
val sft: SimpleFeatureType

The simple feature type that this stat operates on
The simple feature type that this stat operates on

Definition Classes
DescriptiveStats → Stat
def sum: Array[Double]
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toJson: String

Returns a JSON representation of the Stat
Returns a JSON representation of the Stat
returns
stat as a json string

Definition Classes
Stat
def toJsonObject: Map[String, Any]

Returns a representation of the Stat to be serialized
Returns a representation of the Stat to be serialized
This function should return a representation (view) of the Stat to be serialized as JSON. Instances of Map can be used to represent JSON dictionaries or Seq for JSON arrays. A collection.SortedMap such as collection.immutable.ListMap is recommended if key order should be deterministic. Other types may be used but could require the creation and registration of custom serializers dependent on the JSON framework being utilized (currently Gson).
returns
stat as a json serializable object

Definition Classes
DescriptiveStats → Stat
def toString(): String

Definition Classes
AnyRef → Any
def unobserve(sf: SimpleFeature): Unit

Tries to remove the given simple feature from the compiled statistics.
Tries to remove the given simple feature from the compiled statistics. Note: may not be possible to un-observe a feature, in which case this method will have no effect.
sf
feature to un-evaluate

Definition Classes
DescriptiveStats → Stat
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 stats

class DescriptiveStats extends Stat with Serializable

Instance Constructors

new DescriptiveStats(sft: SimpleFeatureType, properties: Seq[String])

Type Members

type S = DescriptiveStats

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

def +(that: DescriptiveStats): DescriptiveStats

def +(other: Stat)(implicit d: DummyImplicit): Stat

def +=(that: DescriptiveStats): Unit

def +=(other: Stat)(implicit d: DummyImplicit): Unit

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def bounds: Array[(Double, Double)]

def centralMoment2: Array[Double]

def centralMoment3: Array[Double]

def centralMoment4: Array[Double]

def clear(): Unit

def clone(): AnyRef

def coMoment2: Array[Double]

def copyFrom(that: DescriptiveStats): Unit

def count: Long

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

final def getClass(): Class[_]

def hashCode(): Int

def isEmpty: Boolean

def isEquivalent(other: Stat): Boolean

final def isInstanceOf[T0]: Boolean

def maximum: Array[Double]

def mean: Array[Double]

def minimum: Array[Double]

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def observe(sf: SimpleFeature): Unit

def populationCorrelation: Array[Double]

def populationCovariance: Array[Double]

def populationExcessKurtosis: Array[Double]

def populationKurtosis: Array[Double]

def populationSkewness: Array[Double]

def populationStandardDeviation: Array[Double]

def populationVariance: Array[Double]

val properties: Seq[String]

def sampleCorrelation: Array[Double]

def sampleCovariance: Array[Double]

def sampleExcessKurtosis: Array[Double]

def sampleKurtosis: Array[Double]

def sampleSkewness: Array[Double]

def sampleStandardDeviation: Array[Double]

def sampleVariance: Array[Double]

val sft: SimpleFeatureType

def sum: Array[Double]

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

def toJson: String

def toJsonObject: Map[String, Any]

def toString(): String

def unobserve(sf: SimpleFeature): Unit

final def wait(): Unit

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

final def wait(arg0: Long): Unit

Deprecated Value Members

lazy val attributes: Seq[Int]

Inherited from Serializable

Inherited from Serializable

Inherited from Stat

Inherited from AnyRef

Inherited from Any

Ungrouped