Python pyspark CoordinateMatrix.toIndexedRowMatrix用法及代碼示例

本文簡要介紹 pyspark.mllib.linalg.distributed.CoordinateMatrix.toIndexedRowMatrix 的用法。

用法: toIndexedRowMatrix()

將此矩陣轉換為 IndexedRowMatrix。

例子：

>>> entries = sc.parallelize([MatrixEntry(0, 0, 1.2),
...                           MatrixEntry(6, 4, 2.1)])
>>> mat = CoordinateMatrix(entries).toIndexedRowMatrix()

>>> # This CoordinateMatrix will have 7 effective rows, due to
>>> # the highest row index being 6, and the ensuing
>>> # IndexedRowMatrix will have 7 rows as well.
>>> print(mat.numRows())
7

>>> # This CoordinateMatrix will have 5 columns, due to the
>>> # highest column index being 4, and the ensuing
>>> # IndexedRowMatrix will have 5 columns as well.
>>> print(mat.numCols())
5

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注：本文由純淨天空篩選整理自spark.apache.org大神的英文原創作品 pyspark.mllib.linalg.distributed.CoordinateMatrix.toIndexedRowMatrix。非經特殊聲明，原始代碼版權歸原作者所有，本譯文未經允許或授權，請勿轉載或複製。