Matrices¶
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class
pyspark.mllib.linalg.Matrices[source]¶ 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
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static
dense(numRows: int, numCols: int, values: Union[bytes, Iterable[float]]) → pyspark.mllib.linalg.DenseMatrix[source]¶ Create a DenseMatrix
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static
fromML(mat: pyspark.ml.linalg.Matrix) → pyspark.mllib.linalg.Matrix[source]¶ Convert a matrix from the new mllib-local representation. This does NOT copy the data; it copies references.
New in version 2.0.0.
- Parameters
- Returns
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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[source]¶ Create a SparseMatrix
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static