Class: Matrix

eclairjs/mllib/linalg.Matrix

(abstract) new Matrix()

Trait for a local matrix.
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Methods

apply(i, j) → {Promise.<number>}

Parameters:
Name Type Description
i number
j number
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Returns:
Type
Promise.<number>

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

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Returns:
Type
module:eclairjs/mllib/linalg.Matrix

multiply0(y) → {DenseMatrix}

Parameters:
Name Type Description
y DenseMatrix
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Returns:
Type
DenseMatrix

multiply1(y) → {module:eclairjs/mllib/linalg.DenseVector}

Parameters:
Name Type Description
y module:eclairjs/mllib/linalg.DenseVector
Source:
Returns:
Type
module:eclairjs/mllib/linalg.DenseVector

multiply2(y) → {module:eclairjs/mllib/linalg.DenseVector}

Parameters:
Name Type Description
y module:eclairjs/mllib/linalg.Vector
Source:
Returns:
Type
module:eclairjs/mllib/linalg.DenseVector

numActives() → {Promise.<number>}

Find the number of values stored explicitly. These values can be zero as well.
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Returns:
Type
Promise.<number>

numCols() → {Promise.<number>}

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Returns:
Type
Promise.<number>

numNonzeros() → {Promise.<number>}

Find the number of non-zero active values.
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Returns:
Type
Promise.<number>

numRows() → {Promise.<number>}

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Returns:
Type
Promise.<number>

toArray() → {Promise.<Array.<number>>}

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Returns:
Type
Promise.<Array.<number>>

toString(maxLinesopt, maxLineWidthopt) → {Promise.<string>}

Parameters:
Name Type Attributes Description
maxLines number <optional>
maxLineWidth number <optional>
Source:
Returns:
Type
Promise.<string>

transpose() → {module:eclairjs/mllib/linalg.Matrix}

Source:
Returns:
Type
module:eclairjs/mllib/linalg.Matrix