Python pyspark CoordinateMatrix.toIndexedRowMatrix用法及代码示例

本文简要介绍 pyspark.mllib.linalg.distributed.CoordinateMatrix.toIndexedRowMatrix 的用法。

用法: toIndexedRowMatrix()

将此矩阵转换为 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

相关用法

注：本文由纯净天空筛选整理自spark.apache.org大神的英文原创作品 pyspark.mllib.linalg.distributed.CoordinateMatrix.toIndexedRowMatrix。非经特殊声明，原始代码版权归原作者所有，本译文未经允许或授权，请勿转载或复制。