Details
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New Feature
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Status: Resolved
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Major
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Resolution: Done
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None
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None
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None
Description
This is originally proposed by Hossein Falaki.
This is a proposal for a new package within the Spark distribution to support common statistical estimators. We think consolidating statistical related functions in a separate package will help with readability of core source code and encourage spark users to submit back their functions.
Please see the initial design document here: https://docs.google.com/document/d/1Kju9kWSYMXMjEO6ggC9bF9eNbaM4MxcFs_KDqgAcH9c/pub
Attachments
Attachments
1.
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Stratified sampling |
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Closed | Doris Xin | |
2.
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Correlations |
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Resolved | Doris Xin | |
3.
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Random RDD generator |
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Resolved | Doris Xin | |
4.
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Chi-squared test |
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Closed | Doris Xin | |
5.
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Bootstrapping |
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Resolved | Yu Ishikawa | |
6.
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Correlations (Pearson, Spearman) |
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Closed | Doris Xin | |
7.
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Ser/De for Double to enable calling Java API from python in MLlib |
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Resolved | Doris Xin | |
8.
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Python version of Random RDD without support for arbitrary distribution |
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Resolved | Doris Xin | |
9.
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Python correlations |
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Resolved | Doris Xin | |
10.
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Python support for chi-squared test |
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Closed | Davies Liu | |
11.
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colStats in Statistics as wrapper around MultivariateStatisticalSummary in Scala and Python |
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Resolved | Doris Xin |