SingletonTensor4

Instance Constructors

new SingletonTensor4(dim1: Int, dim2: Int, dim3: Int, dim4: Int, singleIndex1: Int, singleIndex2: Int, singleIndex3: Int, singleIndex4: Int, singleValue: Double)

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
def *(v: Double): Tensor

Definition Classes
Tensor
def *=(ds: DoubleSeq): Unit

Definition Classes
MutableDoubleSeq
def *=(d: Double): Unit

Definition Classes
MutableDoubleSeq
def *=(i: Int, incr: Double): Unit

Definition Classes
MutableDoubleSeq
def +(that: Tensor): Tensor

Definition Classes
Tensor
def ++=(tensors: Iterable[Tensor]): SingletonTensor4.this.type

Definition Classes
Tensor
def +=(i: Int, incr: Double): Unit

Definition Classes
ReadOnlyTensor → Tensor → MutableDoubleSeq → IncrementableDoubleSeq
def +=(i: Int, j: Int, k: Int, l: Int, v: Double): Unit

Definition Classes
Tensor4
def +=(ds: DoubleSeq, factor: DoubleSeq): Unit

Increment by the element-wise product of ds and factor.
Increment by the element-wise product of ds and factor.

Definition Classes
IncrementableDoubleSeq
def +=(a: Array[Double], factor: Double): Unit

Definition Classes
IncrementableDoubleSeq
def +=(ds: DoubleSeq, factor: Double): Unit

Definition Classes
IncrementableDoubleSeq
def +=(a: Array[Double]): Unit

Definition Classes
IncrementableDoubleSeq
final def +=(ds: DoubleSeq): Unit

Definition Classes
IncrementableDoubleSeq
def +=(d: Double): Unit

Definition Classes
IncrementableDoubleSeq
def -(that: Tensor): Tensor

Definition Classes
Tensor
def -=(ds: DoubleSeq): Unit

Definition Classes
IncrementableDoubleSeq
final def -=(d: Double): Unit

Definition Classes
IncrementableDoubleSeq
def -=(i: Int, incr: Double): Unit

Definition Classes
IncrementableDoubleSeq
def /(v: Double): Tensor

Definition Classes
Tensor
def /=(ds: DoubleSeq): Unit

Definition Classes
MutableDoubleSeq
final def /=(d: Double): Unit

Definition Classes
MutableDoubleSeq
final def /=(i: Int, incr: Double): Unit

Definition Classes
MutableDoubleSeq
def :=(a: Array[Double], offset: Int): Unit

Definition Classes
MutableDoubleSeq
def :=(a: Array[Double]): Unit

Definition Classes
MutableDoubleSeq
def :=(ds: DoubleSeq): Unit

Definition Classes
MutableDoubleSeq
def :=(d: Double): Unit

Definition Classes
MutableDoubleSeq
def =+(a: Array[Double], offset: Int, f: Double): Unit

Increment given array (starting at offset index) with contents of this DoubleSeq, multiplied by factor f.
Increment given array (starting at offset index) with contents of this DoubleSeq, multiplied by factor f.

Definition Classes
SingletonIndexedTensor → SparseDoubleSeq → DoubleSeq
final def =+(a: Array[Double], f: Double): Unit

Definition Classes
DoubleSeq
final def =+(a: Array[Double], offset: Int): Unit

Definition Classes
DoubleSeq
final def =+(a: Array[Double]): Unit

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

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

Definition Classes
Any
def _indices: Array[Int]

Definition Classes
SingletonTensor → SparseTensor
def _makeReadable(): Unit

Definition Classes
SingletonTensor → SparseTensor
def _unsafeActiveDomainSize: Int

Definition Classes
SingletonTensor → SparseTensor
def _values: Array[Double]

Definition Classes
SingletonIndexedTensor → SparseIndexedTensor
def _valuesSeq: ArrayDoubleSeq

Definition Classes
SparseIndexedTensor → SparseTensor
def abs(): Unit

Definition Classes
MutableDoubleSeq
def activeDomain: IntSeq

Definition Classes
SingletonTensor4 → SparseDoubleSeq → Tensor
def activeDomain1: SingletonIntSeq

Definition Classes
SingletonTensor4 → Tensor4
def activeDomain2: SingletonIntSeq

Definition Classes
SingletonTensor4 → Tensor4
def activeDomain3: SingletonIntSeq

Definition Classes
SingletonTensor4 → Tensor4
def activeDomain4: SingletonIntSeq

Definition Classes
SingletonTensor4 → Tensor4
val activeDomainSize: Int

Definition Classes
SingletonTensor → Tensor → SparseDoubleSeq
def activeDomains: Array[IntSeq]

Definition Classes
Tensor4 → Tensor
def activeElements: Iterator[(Int, Double)]

Definition Classes
SingletonIndexedTensor → Tensor
def addString(b: StringBuilder, start: String, sep: String, end: String): StringBuilder

Append a string representation of this DoubleSeq to the StringBuilder.
Append a string representation of this DoubleSeq to the StringBuilder.

Definition Classes
DoubleSeq
def apply(i: Int): Double

Definition Classes
SingletonIndexedTensor → DoubleSeq
def apply(i: Int, j: Int, k: Int, l: Int): Double

Definition Classes
Tensor4
def asArray: Array[Double]

Return the values as an Array[Double].
Return the values as an Array[Double]. Not guaranteed to be a copy; in fact if it is possible to return a pointer to an internal array, it will simply return this.

Definition Classes
DoubleSeq
final def asInstanceOf[T0]: T0

Definition Classes
Any
def asSeq: Seq[Double]

With uncopied contents
With uncopied contents

Definition Classes
DoubleSeq
def blankCopy: Tensor4

Definition Classes
Tensor4 → Tensor
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
def contains(d: Double): Boolean

Definition Classes
SparseDoubleSeq → DoubleSeq
def containsNaN: Boolean

Definition Classes
SingletonIndexedTensor → SparseDoubleSeq → DoubleSeq
def copy: SingletonTensor4

Definition Classes
SingletonTensor4 → Tensor4 → Tensor
def copyInto(t: SparseIndexedTensor): Unit

Definition Classes
SingletonIndexedTensor
def cosineSimilarity(t: DoubleSeq): Double

Definition Classes
Tensor
def defaultValue: Double

The default value at indices not covered by activeDomain.
The default value at indices not covered by activeDomain. Subclasses may override this

Definition Classes
Tensor
def different(t: DoubleSeq, threshold: Double): Boolean

Definition Classes
SparseDoubleSeq → DoubleSeq
val dim1: Int

Definition Classes
SingletonTensor4 → Tensor4
val dim2: Int

Definition Classes
SingletonTensor4 → Tensor4
val dim3: Int

Definition Classes
SingletonTensor4 → Tensor4
val dim4: Int

Definition Classes
SingletonTensor4 → Tensor4
def dimensions: Array[Int]

Definition Classes
Tensor4 → Tensor
def dimensionsMatch(t: Tensor): Boolean

Definition Classes
Tensor4 → Tensor
def dot(t: DoubleSeq): Double

Definition Classes
SingletonIndexedTensor → Tensor
def ensureDimensionsMatch(t: Tensor): Unit

Definition Classes
Tensor4 → Tensor
def entropy: Double

Assumes that the values are already normalized to sum to 1.
Assumes that the values are already normalized to sum to 1.

Definition Classes
SparseDoubleSeq → DoubleSeq
final def eq(arg0: AnyRef): Boolean

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

Definition Classes
AnyRef → Any
def exists(f: (Double) ⇒ Boolean): Boolean

Definition Classes
Tensor
def expNormalize(logZ: Double): Unit

Exponential the elements of the array such that they are normalized to sum to one, but do so efficiently by providing logZ.
Exponential the elements of the array such that they are normalized to sum to one, but do so efficiently by providing logZ. Note that to maximize efficiency, this method does not verify that the logZ value was the correct one to cause proper normalization.

Definition Classes
MutableDoubleSeq
def expNormalize(): Double

Exponentiate the elements of the array, and then normalize them to sum to one.
Exponentiate the elements of the array, and then normalize them to sum to one.

Definition Classes
MutableDoubleSeq
def expNormalized: Tensor

Definition Classes
Tensor
def exponentiate(): Unit

Definition Classes
MutableDoubleSeq
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
def foldActiveElements(seed: Double, f: (Int, Double, Double) ⇒ Double): Double

Definition Classes
Tensor
def foldLeft[B](z: B)(f: (B, Double) ⇒ B): B

Definition Classes
DoubleSeq
def forall(f: (Double) ⇒ Boolean): Boolean

Definition Classes
DoubleSeq
def forallActiveElements(f: (Int, Double) ⇒ Boolean): Boolean

Definition Classes
SingletonIndexedTensor → Tensor → SparseDoubleSeq
def forallElements(f: (Int, Double) ⇒ Boolean): Boolean

Definition Classes
DoubleSeq
def foreach(f: (Double) ⇒ Unit): Unit

Definition Classes
DoubleSeq
def foreachActiveElement(f: (Int, Double) ⇒ Unit): Unit

Definition Classes
SingletonIndexedTensor → DoubleSeq
def foreachElement(f: (Int, Double) ⇒ Unit): Unit

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

Definition Classes
AnyRef → Any
def hashCode(): Int

Definition Classes
AnyRef → Any
final def index1(i: Int): Int

Definition Classes
Tensor4
Annotations
@inline()
final def index2(i: Int): Int

Definition Classes
Tensor4
Annotations
@inline()
final def index3(i: Int): Int

Definition Classes
Tensor4
Annotations
@inline()
final def index4(i: Int): Int

Definition Classes
Tensor4
Annotations
@inline()
def indexOf(d: Double): Int

Definition Classes
SparseDoubleSeq → DoubleSeq
def infinityNorm: Double

Definition Classes
SparseDoubleSeq → DoubleSeq
def isDense: Boolean

Definition Classes
SparseTensor → Tensor
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
def isUniform: Boolean

Definition Classes
Tensor
def jsDivergence(p: DoubleSeq): Double

Assumes that the values are already normalized to sum to 1.
Assumes that the values are already normalized to sum to 1.

Definition Classes
SparseDoubleSeq → DoubleSeq
def klDivergence(p: DoubleSeq): Double

Assumes that the values in both DoubleSeq are already normalized to sum to 1.
Assumes that the values in both DoubleSeq are already normalized to sum to 1.

Definition Classes
SparseDoubleSeq → DoubleSeq
def l2Similarity(t: DoubleSeq): Double

Definition Classes
DoubleSeq
final def length: Int

Definition Classes
Tensor4 → DoubleSeq
Annotations
@inline()
def map(f: (Double) ⇒ Double): DoubleSeq

Definition Classes
DoubleSeq
def max: Double

Definition Classes
SingletonIndexedTensor → SparseDoubleSeq → DoubleSeq
def maxIndex: Int

Definition Classes
SingletonIndexedTensor → SparseDoubleSeq → DoubleSeq
def maxIndex2: (Int, Int)

Definition Classes
SparseDoubleSeq → DoubleSeq
def maxNormalize(): Unit

Definition Classes
MutableDoubleSeq
def min: Double

Definition Classes
SingletonIndexedTensor → SparseDoubleSeq → DoubleSeq
def mkString: String

Definition Classes
DoubleSeq
def mkString(sep: String): String

Definition Classes
DoubleSeq
def mkString(start: String, sep: String, end: String): String

Definition Classes
DoubleSeq
final def multiIndex(i: Int): (Int, Int, Int, Int)

Definition Classes
Tensor4
Annotations
@inline()
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def normalize(): Double

Definition Classes
MutableDoubleSeq
def normalizeLogProb(): Double

expNormalize, then put back into log-space.
expNormalize, then put back into log-space.

Definition Classes
MutableDoubleSeq
def normalized: Tensor

Definition Classes
Tensor
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
def numDimensions: Int

Definition Classes
Tensor4 → Tensor
def oneNorm: Double

Definition Classes
SparseDoubleSeq → DoubleSeq
def oneNormalize(): Double

Definition Classes
MutableDoubleSeq
def outer(t: Tensor): Tensor

Definition Classes
Tensor
def printLength: Int

Definition Classes
Tensor
def sampleIndex(normalizer: Double)(implicit r: Random): Int

Definition Classes
SparseDoubleSeq → DoubleSeq
def sampleIndex(implicit r: Random): Int

Careful, for many subclasses this is inefficient because it calls the method "sum" to get the normalizer.
Careful, for many subclasses this is inefficient because it calls the method "sum" to get the normalizer.

Definition Classes
DoubleSeq
final def singleIndex(i: Int, j: Int, k: Int, l: Int): Int

Definition Classes
Tensor4
Annotations
@inline()
val singleIndex: Int

Definition Classes
SingletonTensor4 → SingletonTensor
val singleIndex1: Int
val singleIndex2: Int
val singleIndex3: Int
val singleIndex4: Int
val singleValue: Double

Definition Classes
SingletonTensor4 → SingletonTensor
final def size: Int

Definition Classes
DoubleSeq
def sizeHint(size: Int): Unit

Definition Classes
SingletonTensor → SparseTensor
def stringPrefix: String

Definition Classes
Tensor
def substitute(oldValue: Double, newValue: Double): Unit

Definition Classes
MutableDoubleSeq
def sum: Double

Definition Classes
SingletonIndexedTensor → SparseDoubleSeq → DoubleSeq
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toArray: Array[Double]

Return the values as an Array[Double].
Return the values as an Array[Double]. Guaranteed to be a copy, not just a pointer to an internal array that would change with changes to the DoubleSeq

Definition Classes
SparseDoubleSeq → DoubleSeq
def toSeq: Seq[Double]

With copied contents
With copied contents

Definition Classes
DoubleSeq
def toString(): String

Definition Classes
Tensor → AnyRef → Any
def top(n: Int): TopN[String]

Return records for the n elements with the largest values.
Return records for the n elements with the largest values.

Definition Classes
DoubleSeq
final def twoNorm: Double

Definition Classes
DoubleSeq
def twoNormSquared: Double

Definition Classes
SparseDoubleSeq → DoubleSeq
def twoNormalize(): Double

Definition Classes
MutableDoubleSeq
def twoSquaredNormalize(): Double

Definition Classes
MutableDoubleSeq
def update(i: Int, v: Double): Unit

Definition Classes
ReadOnlyTensor → Tensor → MutableDoubleSeq
def update(i: Int, j: Int, k: Int, l: Int, v: Double): Unit

Definition Classes
Tensor4
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( ... )
def zero(): Unit

Definition Classes
ReadOnlyTensor → Tensor → MutableDoubleSeq → IncrementableDoubleSeq

class SingletonTensor4 extends Tensor4 with SingletonIndexedTensor

Instance Constructors

new SingletonTensor4(dim1: Int, dim2: Int, dim3: Int, dim4: Int, singleIndex1: Int, singleIndex2: Int, singleIndex3: Int, singleIndex4: Int, singleValue: Double)

Value Members

final def !=(arg0: AnyRef): Boolean

final def !=(arg0: Any): Boolean

final def ##(): Int

def *(v: Double): Tensor

def *=(ds: DoubleSeq): Unit

def *=(d: Double): Unit

def *=(i: Int, incr: Double): Unit

def +(that: Tensor): Tensor

def ++=(tensors: Iterable[Tensor]): SingletonTensor4.this.type

def +=(i: Int, incr: Double): Unit

def +=(i: Int, j: Int, k: Int, l: Int, v: Double): Unit

def +=(ds: DoubleSeq, factor: DoubleSeq): Unit

def +=(a: Array[Double], factor: Double): Unit

def +=(ds: DoubleSeq, factor: Double): Unit

def +=(a: Array[Double]): Unit

final def +=(ds: DoubleSeq): Unit

def +=(d: Double): Unit

def -(that: Tensor): Tensor

def -=(ds: DoubleSeq): Unit

final def -=(d: Double): Unit

def -=(i: Int, incr: Double): Unit

def /(v: Double): Tensor

def /=(ds: DoubleSeq): Unit

final def /=(d: Double): Unit

final def /=(i: Int, incr: Double): Unit

def :=(a: Array[Double], offset: Int): Unit

def :=(a: Array[Double]): Unit

def :=(ds: DoubleSeq): Unit

def :=(d: Double): Unit

def =+(a: Array[Double], offset: Int, f: Double): Unit

final def =+(a: Array[Double], f: Double): Unit

final def =+(a: Array[Double], offset: Int): Unit

final def =+(a: Array[Double]): Unit

final def ==(arg0: AnyRef): Boolean

final def ==(arg0: Any): Boolean

def _indices: Array[Int]

def _makeReadable(): Unit

def _unsafeActiveDomainSize: Int

def _values: Array[Double]

def _valuesSeq: ArrayDoubleSeq

def abs(): Unit

def activeDomain: IntSeq

def activeDomain1: SingletonIntSeq

def activeDomain2: SingletonIntSeq

def activeDomain3: SingletonIntSeq

def activeDomain4: SingletonIntSeq

val activeDomainSize: Int

def activeDomains: Array[IntSeq]

def activeElements: Iterator[(Int, Double)]

def addString(b: StringBuilder, start: String, sep: String, end: String): StringBuilder

def apply(i: Int): Double

def apply(i: Int, j: Int, k: Int, l: Int): Double

def asArray: Array[Double]

final def asInstanceOf[T0]: T0

def asSeq: Seq[Double]

def blankCopy: Tensor4

def clone(): AnyRef

def contains(d: Double): Boolean

def containsNaN: Boolean

def copy: SingletonTensor4

def copyInto(t: SparseIndexedTensor): Unit

def cosineSimilarity(t: DoubleSeq): Double

def defaultValue: Double

def different(t: DoubleSeq, threshold: Double): Boolean

val dim1: Int

val dim2: Int

val dim3: Int

val dim4: Int

def dimensions: Array[Int]

def dimensionsMatch(t: Tensor): Boolean

def dot(t: DoubleSeq): Double

def ensureDimensionsMatch(t: Tensor): Unit

def entropy: Double

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean