Matrices

class pyspark.mllib.linalg.Matrices

Methods

dense(numRows, numCols, values)	Create a DenseMatrix
fromML(mat)	Convert a matrix from the new mllib-local representation.
sparse(numRows, numCols, colPtrs, …)	Create a SparseMatrix

Methods Documentation

static dense(numRows: int, numCols: int, values: Union[bytes, Iterable[float]]) → pyspark.mllib.linalg.DenseMatrix

Create a DenseMatrix

static fromML(mat: pyspark.ml.linalg.Matrix) → pyspark.mllib.linalg.Matrix

Convert a matrix from the new mllib-local representation. This does NOT copy the data; it copies references.

Parameters

matpyspark.ml.linalg.Matrix

Returns

pyspark.mllib.linalg.Matrix

static sparse(numRows: int, numCols: int, colPtrs: Union[bytes, Iterable[int]], rowIndices: Union[bytes, Iterable[int]], values: Union[bytes, Iterable[float]]) → pyspark.mllib.linalg.SparseMatrix

Create a SparseMatrix

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SparseMatrix

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