class SparseVector extends Vector
A sparse vector represented by an index array and a value array.
- Annotations
- @Since("2.0.0")
- Source
- Vectors.scala
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- SparseVector
- Vector
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Instance Constructors
- new SparseVector(size: Int, indices: Array[Int], values: Array[Double])
- size
size of the vector.
- indices
index array, assume to be strictly increasing.
- values
value array, must have the same length as the index array.
- Annotations
- @Since("2.0.0")
Value Members
- final def !=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
- final def ##: Int
- Definition Classes
- AnyRef → Any
- final def ==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
- def apply(i: Int): Double
Gets the value of the ith element.
- def argmax: Int
Find the index of a maximal element.
Find the index of a maximal element. Returns the first maximal element in case of a tie. Returns -1 if vector has length 0.
- Definition Classes
- SparseVector → Vector
- final def asInstanceOf[T0]: T0
- Definition Classes
- Any
- def clone(): AnyRef
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.CloneNotSupportedException]) @IntrinsicCandidate() @native()
- def compressed: Vector
Returns a vector in either dense or sparse format, whichever uses less storage.
Returns a vector in either dense or sparse format, whichever uses less storage.
- Definition Classes
- Vector
- Annotations
- @Since("2.0.0")
- def copy: SparseVector
Makes a deep copy of this vector.
Makes a deep copy of this vector.
- Definition Classes
- SparseVector → Vector
- def dot(v: Vector): Double
Calculate the dot product of this vector with another.
Calculate the dot product of this vector with another.
If
sizedoes not match an IllegalArgumentException is thrown.- Definition Classes
- Vector
- Annotations
- @Since("3.0.0")
- final def eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
- def equals(other: Any): Boolean
- Definition Classes
- SparseVector → Vector → AnyRef → Any
- def foreachActive(f: (Int, Double) => Unit): Unit
Applies a function
fto all the active elements of dense and sparse vector.Applies a function
fto all the active elements of dense and sparse vector.- f
the function takes two parameters where the first parameter is the index of the vector with type
Int, and the second parameter is the corresponding value with typeDouble.
- Definition Classes
- Vector
- Annotations
- @Since("2.0.0")
- final def getClass(): Class[_ <: AnyRef]
- Definition Classes
- AnyRef → Any
- Annotations
- @IntrinsicCandidate() @native()
- def hashCode(): Int
Returns a hash code value for the vector.
Returns a hash code value for the vector. The hash code is based on its size and its first 128 nonzero entries, using a hash algorithm similar to
java.util.Arrays.hashCode.- Definition Classes
- SparseVector → Vector → AnyRef → Any
- val indices: Array[Int]
- Annotations
- @Since("2.0.0")
- final def isInstanceOf[T0]: Boolean
- Definition Classes
- Any
- final def ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
- final def notify(): Unit
- Definition Classes
- AnyRef
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- @IntrinsicCandidate() @native()
- final def notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @IntrinsicCandidate() @native()
- def numActives: Int
Number of active entries.
Number of active entries. An "active entry" is an element which is explicitly stored, regardless of its value. Note that inactive entries have value 0.
- Definition Classes
- SparseVector → Vector
- def numNonzeros: Int
Number of nonzero elements.
Number of nonzero elements. This scans all active values and count nonzeros.
- Definition Classes
- SparseVector → Vector
- val size: Int
Size of the vector.
Size of the vector.
- Definition Classes
- SparseVector → Vector
- final def synchronized[T0](arg0: => T0): T0
- Definition Classes
- AnyRef
- def toArray: Array[Double]
Converts the instance to a double array.
Converts the instance to a double array.
- Definition Classes
- SparseVector → Vector
- def toDense: DenseVector
Converts this vector to a dense vector.
Converts this vector to a dense vector.
- Definition Classes
- Vector
- Annotations
- @Since("2.0.0")
- def toSparse: SparseVector
Converts this vector to a sparse vector with all explicit zeros removed.
Converts this vector to a sparse vector with all explicit zeros removed.
- Definition Classes
- Vector
- Annotations
- @Since("2.0.0")
- def toString(): String
- Definition Classes
- SparseVector → AnyRef → Any
- val values: Array[Double]
- Annotations
- @Since("2.0.0")
- final def wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException])
- final def wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException]) @native()
- final def wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException])
Deprecated Value Members
- def finalize(): Unit
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.Throwable]) @Deprecated
- Deprecated
(Since version 9)