Class: Matrix

eclairjs/mllib/linalg.Matrix

(abstract) new Matrix()

Trait for a local matrix.

Source:

mllib/linalg/Matrix.js, line 26

Methods

apply(i, j) → {Promise.<number>}

Parameters:

Name	Type	Description
`i`	number
`j`	number

Source:

ml/linalg/Matrix.js, line 95

Returns:

Type: Promise.<number>

apply(i, j) → {Promise.<number>}

Parameters:

Name	Type	Description
`i`	number
`j`	number

Source:

mllib/linalg/Matrix.js, line 95

Returns:

Type: Promise.<number>

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

Source:

mllib/linalg/Matrix.js, line 121

Returns:

Type: module:eclairjs/mllib/linalg.Matrix

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

Source:

ml/linalg/Matrix.js, line 121

Returns:

Type: module:eclairjs/mllib/linalg.Matrix

multiply0(y) → {DenseMatrix}

Parameters:

Name	Type	Description
`y`	DenseMatrix

Source:

ml/linalg/Matrix.js, line 154

Returns:

Type: DenseMatrix

multiply0(y) → {DenseMatrix}

Parameters:

Name	Type	Description
`y`	DenseMatrix

Source:

mllib/linalg/Matrix.js, line 154

Returns:

Type: DenseMatrix

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

Parameters:

Name	Type	Description
`y`	module:eclairjs/mllib/linalg.DenseVector

Source:

mllib/linalg/Matrix.js, line 174

Returns:

Type: module:eclairjs/mllib/linalg.DenseVector

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

Parameters:

Name	Type	Description
`y`	module:eclairjs/mllib/linalg.DenseVector

Source:

ml/linalg/Matrix.js, line 174

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:

mllib/linalg/Matrix.js, line 194

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:

ml/linalg/Matrix.js, line 194

Returns:

Type: module:eclairjs/mllib/linalg.DenseVector

numActives() → {Promise.<number>}

Find the number of values stored explicitly. These values can be zero as well.

Source:

mllib/linalg/Matrix.js, line 266

Returns:

Type: Promise.<number>

numActives() → {Promise.<number>}

Find the number of values stored explicitly. These values can be zero as well.

Source:

ml/linalg/Matrix.js, line 266

Returns:

Type: Promise.<number>

numCols() → {Promise.<number>}

Source:

mllib/linalg/Matrix.js, line 56

Returns:

Type: Promise.<number>

numCols() → {Promise.<number>}

Source:

ml/linalg/Matrix.js, line 56

Returns:

Type: Promise.<number>

numNonzeros() → {Promise.<number>}

Find the number of non-zero active values.

Source:

ml/linalg/Matrix.js, line 243

Returns:

Type: Promise.<number>

numNonzeros() → {Promise.<number>}

Find the number of non-zero active values.

Source:

mllib/linalg/Matrix.js, line 243

Returns:

Type: Promise.<number>

numRows() → {Promise.<number>}

Source:

ml/linalg/Matrix.js, line 34

Returns:

Type: Promise.<number>

numRows() → {Promise.<number>}

Source:

mllib/linalg/Matrix.js, line 34

Returns:

Type: Promise.<number>

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

Source:

ml/linalg/Matrix.js, line 78

Returns:

Type: Promise.<Array.<number>>

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

Source:

mllib/linalg/Matrix.js, line 78

Returns:

Type: Promise.<Array.<number>>

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

Parameters:

Name	Type	Attributes	Description
`maxLines`	number	<optional>
`maxLineWidth`	number	<optional>

Source:

mllib/linalg/Matrix.js, line 215

Returns:

Type: Promise.<string>

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

Parameters:

Name	Type	Attributes	Description
`maxLines`	number	<optional>
`maxLineWidth`	number	<optional>

Source:

ml/linalg/Matrix.js, line 215

Returns:

Type: Promise.<string>

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

Source:

ml/linalg/Matrix.js, line 137

Returns:

Type: module:eclairjs/mllib/linalg.Matrix

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

Source:

mllib/linalg/Matrix.js, line 137

Returns:

Type: module:eclairjs/mllib/linalg.Matrix

eclairjs/mllib/linalg.Matrix

(abstract) new Matrix()

Trait for a local matrix.

Source:

ml/linalg/Matrix.js, line 26

Methods

apply(i, j) → {Promise.<number>}

Parameters:

Name	Type	Description
`i`	number
`j`	number

Source:

ml/linalg/Matrix.js, line 95

Returns:

Type: Promise.<number>

apply(i, j) → {Promise.<number>}

Parameters:

Name	Type	Description
`i`	number
`j`	number

Source:

mllib/linalg/Matrix.js, line 95

Returns:

Type: Promise.<number>

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

Source:

mllib/linalg/Matrix.js, line 121

Returns:

Type: module:eclairjs/mllib/linalg.Matrix

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

Source:

ml/linalg/Matrix.js, line 121

Returns:

Type: module:eclairjs/mllib/linalg.Matrix

multiply0(y) → {DenseMatrix}

Parameters:

Name	Type	Description
`y`	DenseMatrix

Source:

ml/linalg/Matrix.js, line 154

Returns:

Type: DenseMatrix

multiply0(y) → {DenseMatrix}

Parameters:

Name	Type	Description
`y`	DenseMatrix

Source:

mllib/linalg/Matrix.js, line 154

Returns:

Type: DenseMatrix

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

Parameters:

Name	Type	Description
`y`	module:eclairjs/mllib/linalg.DenseVector

Source:

mllib/linalg/Matrix.js, line 174

Returns:

Type: module:eclairjs/mllib/linalg.DenseVector

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

Parameters:

Name	Type	Description
`y`	module:eclairjs/mllib/linalg.DenseVector

Source:

ml/linalg/Matrix.js, line 174

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:

mllib/linalg/Matrix.js, line 194

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:

ml/linalg/Matrix.js, line 194

Returns:

Type: module:eclairjs/mllib/linalg.DenseVector

numActives() → {Promise.<number>}

Find the number of values stored explicitly. These values can be zero as well.

Source:

mllib/linalg/Matrix.js, line 266

Returns:

Type: Promise.<number>

numActives() → {Promise.<number>}

Find the number of values stored explicitly. These values can be zero as well.

Source:

ml/linalg/Matrix.js, line 266

Returns:

Type: Promise.<number>

numCols() → {Promise.<number>}

Source:

mllib/linalg/Matrix.js, line 56

Returns:

Type: Promise.<number>

numCols() → {Promise.<number>}

Source:

ml/linalg/Matrix.js, line 56

Returns:

Type: Promise.<number>

numNonzeros() → {Promise.<number>}

Find the number of non-zero active values.

Source:

ml/linalg/Matrix.js, line 243

Returns:

Type: Promise.<number>

numNonzeros() → {Promise.<number>}

Find the number of non-zero active values.

Source:

mllib/linalg/Matrix.js, line 243

Returns:

Type: Promise.<number>

numRows() → {Promise.<number>}

Source:

ml/linalg/Matrix.js, line 34

Returns:

Type: Promise.<number>

numRows() → {Promise.<number>}

Source:

mllib/linalg/Matrix.js, line 34

Returns:

Type: Promise.<number>

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

Source:

ml/linalg/Matrix.js, line 78

Returns:

Type: Promise.<Array.<number>>

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

Source:

mllib/linalg/Matrix.js, line 78

Returns:

Type: Promise.<Array.<number>>

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

Parameters:

Name	Type	Attributes	Description
`maxLines`	number	<optional>
`maxLineWidth`	number	<optional>

Source:

mllib/linalg/Matrix.js, line 215

Returns:

Type: Promise.<string>

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

Parameters:

Name	Type	Attributes	Description
`maxLines`	number	<optional>
`maxLineWidth`	number	<optional>

Source:

ml/linalg/Matrix.js, line 215

Returns:

Type: Promise.<string>

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

Source:

ml/linalg/Matrix.js, line 137

Returns:

Type: module:eclairjs/mllib/linalg.Matrix

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

Source:

mllib/linalg/Matrix.js, line 137

Returns:

Type: module:eclairjs/mllib/linalg.Matrix