[jira] [Commented] (SPARK-12372) Unary operator "-" fails for MLlib vectors
[
https://issues.apache.org/jira/browse/SPARK-12372?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15060699#comment-15060699
]
Joseph K. Bradley commented on SPARK-12372:
---
There simply isn't a unary operation. There are ongoing discussions about
turning MLlib vectors and matrices into a full-fledged local linear algebra
library, but currently, you could convert to numpy/scipy and use those library
for pyspark.
> Unary operator "-" fails for MLlib vectors
> --
>
> Key: SPARK-12372
> URL: https://issues.apache.org/jira/browse/SPARK-12372
> Project: Spark
> Issue Type: Bug
> Components: MLlib, PySpark
>Affects Versions: 1.5.2
>Reporter: Christos Iraklis Tsatsoulis
>
> Consider the following snippet in pyspark 1.5.2:
> {code:none}
> >>> from pyspark.mllib.linalg import Vectors
> >>> x = Vectors.dense([0.0, 1.0, 0.0, 7.0, 0.0])
> >>> x
> DenseVector([0.0, 1.0, 0.0, 7.0, 0.0])
> >>> -x
> Traceback (most recent call last):
> File "", line 1, in
> TypeError: func() takes exactly 2 arguments (1 given)
> >>> y = Vectors.dense([2.0, 0.0, 3.0, 4.0, 5.0])
> >>> y
> DenseVector([2.0, 0.0, 3.0, 4.0, 5.0])
> >>> x-y
> DenseVector([-2.0, 1.0, -3.0, 3.0, -5.0])
> >>> -y+x
> Traceback (most recent call last):
> File "", line 1, in
> TypeError: func() takes exactly 2 arguments (1 given)
> >>> -1*x
> DenseVector([-0.0, -1.0, -0.0, -7.0, -0.0])
> {code}
> Clearly, the unary operator {{-}} (minus) for vectors fails, giving errors
> for expressions like {{-x}} and {{-y+x}}, despite the fact that {{x-y}}
> behaves as expected.
> The last operation, {{-1*x}}, although mathematically "correct", includes
> minus signs for the zero entries, which again is normally not expected.
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[jira] [Commented] (SPARK-12372) Unary operator "-" fails for MLlib vectors
[
https://issues.apache.org/jira/browse/SPARK-12372?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15060858#comment-15060858
]
Christos Iraklis Tsatsoulis commented on SPARK-12372:
-
If this is the case, then a warning/clarification in the documentation wouldn't
hurt - Spark users are not supposed to be aware of the internal "ongoing
discussions" between Spark developers (BTW, any relevant link would be very
welcome - I could not find any mention in MLlib & Breeze docs, neither in the
recent preprint papers on linalg & MLlib).
All in all, I suggest you re-open the issue with a different type (it's not a
bug, as you say), and the required resolution being a notification in the
relevant docs ("don't try this..., because...").
> Unary operator "-" fails for MLlib vectors
> --
>
> Key: SPARK-12372
> URL: https://issues.apache.org/jira/browse/SPARK-12372
> Project: Spark
> Issue Type: Bug
> Components: MLlib, PySpark
>Affects Versions: 1.5.2
>Reporter: Christos Iraklis Tsatsoulis
>
> Consider the following snippet in pyspark 1.5.2:
> {code:none}
> >>> from pyspark.mllib.linalg import Vectors
> >>> x = Vectors.dense([0.0, 1.0, 0.0, 7.0, 0.0])
> >>> x
> DenseVector([0.0, 1.0, 0.0, 7.0, 0.0])
> >>> -x
> Traceback (most recent call last):
> File "", line 1, in
> TypeError: func() takes exactly 2 arguments (1 given)
> >>> y = Vectors.dense([2.0, 0.0, 3.0, 4.0, 5.0])
> >>> y
> DenseVector([2.0, 0.0, 3.0, 4.0, 5.0])
> >>> x-y
> DenseVector([-2.0, 1.0, -3.0, 3.0, -5.0])
> >>> -y+x
> Traceback (most recent call last):
> File "", line 1, in
> TypeError: func() takes exactly 2 arguments (1 given)
> >>> -1*x
> DenseVector([-0.0, -1.0, -0.0, -7.0, -0.0])
> {code}
> Clearly, the unary operator {{-}} (minus) for vectors fails, giving errors
> for expressions like {{-x}} and {{-y+x}}, despite the fact that {{x-y}}
> behaves as expected.
> The last operation, {{-1*x}}, although mathematically "correct", includes
> minus signs for the zero entries, which again is normally not expected.
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[jira] [Commented] (SPARK-12372) Unary operator "-" fails for MLlib vectors
[
https://issues.apache.org/jira/browse/SPARK-12372?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15061310#comment-15061310
]
Joseph K. Bradley commented on SPARK-12372:
---
That's a good point. I'll reopen this and edit it to be for documenting the
current limitations. Thanks!
> Unary operator "-" fails for MLlib vectors
> --
>
> Key: SPARK-12372
> URL: https://issues.apache.org/jira/browse/SPARK-12372
> Project: Spark
> Issue Type: Bug
> Components: Documentation, MLlib
>Affects Versions: 1.5.2
>Reporter: Christos Iraklis Tsatsoulis
>
> Consider the following snippet in pyspark 1.5.2:
> {code:none}
> >>> from pyspark.mllib.linalg import Vectors
> >>> x = Vectors.dense([0.0, 1.0, 0.0, 7.0, 0.0])
> >>> x
> DenseVector([0.0, 1.0, 0.0, 7.0, 0.0])
> >>> -x
> Traceback (most recent call last):
> File "", line 1, in
> TypeError: func() takes exactly 2 arguments (1 given)
> >>> y = Vectors.dense([2.0, 0.0, 3.0, 4.0, 5.0])
> >>> y
> DenseVector([2.0, 0.0, 3.0, 4.0, 5.0])
> >>> x-y
> DenseVector([-2.0, 1.0, -3.0, 3.0, -5.0])
> >>> -y+x
> Traceback (most recent call last):
> File "", line 1, in
> TypeError: func() takes exactly 2 arguments (1 given)
> >>> -1*x
> DenseVector([-0.0, -1.0, -0.0, -7.0, -0.0])
> {code}
> Clearly, the unary operator {{-}} (minus) for vectors fails, giving errors
> for expressions like {{-x}} and {{-y+x}}, despite the fact that {{x-y}}
> behaves as expected.
> The last operation, {{-1*x}}, although mathematically "correct", includes
> minus signs for the zero entries, which again is normally not expected.
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