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Python pyspark CoordinateMatrix.toRowMatrix用法及代碼示例

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

用法:

toRowMatrix()

將此矩陣轉換為 RowMatrix。

例子

>>> entries = sc.parallelize([MatrixEntry(0, 0, 1.2),
...                           MatrixEntry(6, 4, 2.1)])
>>> mat = CoordinateMatrix(entries).toRowMatrix()
>>> # This CoordinateMatrix will have 7 effective rows, due to
>>> # the highest row index being 6, but the ensuing RowMatrix
>>> # will only have 2 rows since there are only entries on 2
>>> # unique rows.
>>> print(mat.numRows())
2
>>> # This CoordinateMatrix will have 5 columns, due to the
>>> # highest column index being 4, and the ensuing RowMatrix
>>> # 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.toRowMatrix。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。