Skip to content

[SPARK-24628][DOC]Typos of the example code in docs/mllib-data-types.md #21612

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Closed
huangweizhe123 wants to merge 2 commits into from
Closed

[SPARK-24628][DOC]Typos of the example code in docs/mllib-data-types.md #21612

Changes from 1 commit
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
9ecd7a8
If you want to create a dense matrix ((1.0, 2.0), (3.0, 4.0), (5.0, 6…
huangweizhe123 Jun 22, 2018
6c28df4
The MatrixEntry here is supposed to be MatrixEntry(2, 1, 3.7)
huangweizhe123 Jun 25, 2018
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Prev Previous commit
The MatrixEntry here is supposed to be MatrixEntry(2, 1, 3.7)
  • Loading branch information
@huangweizhe123
huangweizhe123 committed Jun 25, 2018
commit 6c28df406900f0b16eeb3a4cc13e48f7d83c4531
2 changes: 1 addition & 1 deletion docs/mllib-data-types.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -624,7 +624,7 @@ from pyspark.mllib.linalg.distributed import CoordinateMatrix, MatrixEntry

# Create an RDD of coordinate entries.
# - This can be done explicitly with the MatrixEntry class:
entries = sc.parallelize([MatrixEntry(0, 0, 1.2), MatrixEntry(1, 0, 2.1), MatrixEntry(6, 1, 3.7)])
entries = sc.parallelize([MatrixEntry(0, 0, 1.2), MatrixEntry(1, 0, 2.1), MatrixEntry(2, 1, 3.7)])
# - or using (long, long, float) tuples:
entries = sc.parallelize([(0, 0, 1.2), (1, 0, 2.1), (2, 1, 3.7)])

Expand Down