[GitHub] spark issue #22784: [SPARK-25790][MLLIB] PCA: Support more than 65535 column...

2018-10-30 Thread shahidki31
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2018-10-27 Thread SparkQA
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2018-10-27 Thread shahidki31
Github user shahidki31 commented on the issue: https://github.com/apache/spark/pull/22784 Thank you @srowen for the review. I have addressed the comments. > I wonder if the SVD should be used at even smaller scales? as you point out, it's pretty hard to compute a gramian on

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2018-10-27 Thread SparkQA
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2018-10-22 Thread kiszk
Github user kiszk commented on the issue: https://github.com/apache/spark/pull/22784 Sorry for my mistake. My keyboard '4' sometimes has a trouble. > I think, INT_MAX is 2147483647, so n ~= sqrt(2*2147483647) = 65536. ---

[GitHub] spark issue #22784: [SPARK-25790][MLLIB] PCA: Support more than 65535 column...

2018-10-22 Thread shahidki31
Github user shahidki31 commented on the issue: https://github.com/apache/spark/pull/22784 Hi @srowen , Thanks for the comment. As per my knowledge, PCA/SVD is not limited on row size. 1) Currently row size is not a constraint. Ultimately we need to compute graminan

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2018-10-22 Thread srowen
Github user srowen commented on the issue: https://github.com/apache/spark/pull/22784 Hm, as a general comment, is this going to scale? This is making a potentially huge sparse data set dense, and computing a PCA via SVD. I get the idea that it's better to have some option than none,

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2018-10-22 Thread shahidki31
Github user shahidki31 commented on the issue: https://github.com/apache/spark/pull/22784 Hi @kiszk Maximum it can go upto the following limit.

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2018-10-22 Thread kiszk
Github user kiszk commented on the issue: https://github.com/apache/spark/pull/22784 One question: After this PR, what is the maximum column that we can accept? --- - To unsubscribe, e-mail:

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2018-10-22 Thread kiszk
Github user kiszk commented on the issue: https://github.com/apache/spark/pull/22784 Can I clarify the description? > Because we are passing an array of size n*(n+1)/2 to the breeze library and the size cannot be more than INT_MAX. so, the maximum column size we can give is

[GitHub] spark issue #22784: [SPARK-25790][MLLIB] PCA: Support more than 65535 column...

2018-10-22 Thread kiszk
Github user kiszk commented on the issue: https://github.com/apache/spark/pull/22784 Can I clarify the description? > Because we are passing an array of size n*(n+1)/2 to the breeze library and the size cannot be more than INT_MAX. so, the maximum column size we can give is

[GitHub] spark issue #22784: [SPARK-25790][MLLIB] PCA: Support more than 65535 column...

2018-10-22 Thread shahidki31
Github user shahidki31 commented on the issue: https://github.com/apache/spark/pull/22784 Hi @kiszk , I think, INT_MAX is 2147483647, so n ~= sqrt(2*2147483647) = 65536. Thanks --- - To unsubscribe, e-mail:

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2018-10-22 Thread kiszk
Github user kiszk commented on the issue: https://github.com/apache/spark/pull/22784 Can I clarify the description? > Because we are passing an array of size n*(n+1)/2 to the breeze library and the size cannot be more than INT_MAX. so, the maximum column size we can give is

[GitHub] spark issue #22784: [SPARK-25790][MLLIB] PCA: Support more than 65535 column...

2018-10-22 Thread kiszk
Github user kiszk commented on the issue: https://github.com/apache/spark/pull/22784 Can I clarify the description? > Because we are passing an array of size n*(n+1)/2 to the breeze library and the size cannot be more than INT_MAX. so, the maximum column size we can give is

[GitHub] spark issue #22784: [SPARK-25790][MLLIB] PCA: Support more than 65535 column...

2018-10-22 Thread kiszk
Github user kiszk commented on the issue: https://github.com/apache/spark/pull/22784 Can I clarify the description? > Because we are passing an array of size n*(n+1)/2 to the breeze library and the size cannot be more than INT_MAX. so, the maximum column size we can give is

[GitHub] spark issue #22784: [SPARK-25790][MLLIB] PCA: Support more than 65535 column...

2018-10-21 Thread kiszk
Github user kiszk commented on the issue: https://github.com/apache/spark/pull/22784 Can I clarify the description? > Because we are passing an array of size n*(n+1)/2 to the breeze library and the size cannot be more than INT_MAX. so, the maximum column size we can give is

[GitHub] spark issue #22784: [SPARK-25790][MLLIB] PCA: Support more than 65535 column...

2018-10-21 Thread kiszk
Github user kiszk commented on the issue: https://github.com/apache/spark/pull/22784 Can I clarify the description? > Because we are passing an array of size n*(n+1)/2 to the breeze library and the size cannot be more than INT_MAX. so, the maximum column size we can give is

[GitHub] spark issue #22784: [SPARK-25790][MLLIB] PCA: Support more than 65535 column...

2018-10-21 Thread kiszk
Github user kiszk commented on the issue: https://github.com/apache/spark/pull/22784 Can I clarify the description? > Because we are passing an array of size n*(n+1)/2 to the breeze library and the size cannot be more than INT_MAX. so, the maximum column size we can give is

[GitHub] spark issue #22784: [SPARK-25790][MLLIB] PCA: Support more than 65535 column...

2018-10-21 Thread kiszk
Github user kiszk commented on the issue: https://github.com/apache/spark/pull/22784 Can I clarify the description? > Because we are passing an array of size n*(n+1)/2 to the breeze library and the size cannot be more than INT_MAX. so, the maximum column size we can give is

[GitHub] spark issue #22784: [SPARK-25790][MLLIB] PCA: Support more than 65535 column...

2018-10-21 Thread kiszk
Github user kiszk commented on the issue: https://github.com/apache/spark/pull/22784 Can I clarify the description? > Because we are passing an array of size n*(n+1)/2 to the breeze library and the size cannot be more than INT_MAX. so, the maximum column size we can give is

[GitHub] spark issue #22784: [SPARK-25790][MLLIB] PCA: Support more than 65535 column...

2018-10-21 Thread kiszk
Github user kiszk commented on the issue: https://github.com/apache/spark/pull/22784 Can I clarify the description? > Because we are passing an array of size n*(n+1)/2 to the breeze library and the size cannot be more than INT_MAX. so, the maximum column size we can give is

[GitHub] spark issue #22784: [SPARK-25790][MLLIB] PCA: Support more than 65535 column...

2018-10-21 Thread kiszk
Github user kiszk commented on the issue: https://github.com/apache/spark/pull/22784 Can I clarify the description? > Because we are passing an array of size n*(n+1)/2 to the breeze library and the size cannot be more than INT_MAX. so, the maximum column size we can give is

[GitHub] spark issue #22784: [SPARK-25790][MLLIB] PCA: Support more than 65535 column...

2018-10-21 Thread kiszk
Github user kiszk commented on the issue: https://github.com/apache/spark/pull/22784 Can I clarify the description? > Because we are passing an array of size n*(n+1)/2 to the breeze library and the size cannot be more than INT_MAX. so, the maximum column size we can give is

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2018-10-21 Thread shahidki31
Github user shahidki31 commented on the issue: https://github.com/apache/spark/pull/22784 All the UTs are passing locally. Seems random error. retest this please. --- - To unsubscribe, e-mail:

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2018-10-21 Thread kiszk
Github user kiszk commented on the issue: https://github.com/apache/spark/pull/22784 retest this please --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail:

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2018-10-20 Thread shahidki31
Github user shahidki31 commented on the issue: https://github.com/apache/spark/pull/22784 Test results with existing PCA and using SVD without computing covariance matrix val data = Array( Vectors.sparse(5, Seq((1, 1.0), (3, 7.0))), Vectors.dense(2.0, 0.0, 3.0,

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