Class: SparseVector

eclairjs/mllib/linalg. SparseVector

new SparseVector(size, indices, values)

Parameters:
Name Type Description
size integer
indices Array.<integer>
values Array.<float>
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Extends

Methods

apply(i) → {number}

Gets the value of the ith element.
Parameters:
Name Type Description
i number index
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Returns:
Type
number

argmax() → {integer}

Find the index of a maximal element. Returns the first maximal element in case of a tie. Returns -1 if vector has length 0.
Inherited From:
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Returns:
Type
integer

compressed() → {module:eclairjs/mllib/linalg.Vector}

Returns a vector in either dense or sparse format, whichever uses less storage.
Inherited From:
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Returns:
Type
module:eclairjs/mllib/linalg.Vector

copy() → {module:eclairjs/mllib/linalg.Vector}

Makes a deep copy of this vector.
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Returns:
Type
module:eclairjs/mllib/linalg.Vector

equals(other) → {boolean}

Parameters:
Name Type Description
other object
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Returns:
Type
boolean

hashCode() → {number}

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 hashCode.
Inherited From:
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Returns:
Type
number

indices() → {Array.<integer>}

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Returns:
Type
Array.<integer>

numActives() → {integer}

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.
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Returns:
Type
integer

numNonzeros() → {integer}

Number of nonzero elements. This scans all active values and count nonzeros.
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Returns:
Type
integer

size() → {integer}

Size of the vector.
Inherited From:
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Returns:
Type
integer

toArray() → {Array.<float>}

Converts the instance to a double array.
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Returns:
Type
Array.<float>

toDense() → {module:eclairjs/mllib/linalg.DenseVector}

Converts this vector to a dense vector.
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Returns:
Type
module:eclairjs/mllib/linalg.DenseVector

toSparse() → {module:eclairjs/mllib/linalg.SparseVector}

Converts this vector to a sparse vector with all explicit zeros removed.
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Returns:
Type
module:eclairjs/mllib/linalg.SparseVector

values() → {module:eclairjs.Tuple2}

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Returns:
Type
module:eclairjs.Tuple2