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QA results for PR 1207:- This patch PASSES unit tests.- This patch
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Github user mengxr commented on the pull request:
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LGTM. Merged into both master and branch-1.1. Thanks!!
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QA results for PR 1207:- This patch PASSES unit tests.- This patch
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@@ -0,0 +1,208 @@
+/*
+ * Licensed to the Apache Software
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QA results for PR 1207:- This patch PASSES unit tests.- This patch
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(experimental):class Normalizer(p: Double)
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QA results for PR 1207:- This patch PASSES unit tests.- This patch
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QA results for PR 1207:- This patch FAILED unit tests.- This patch
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Github user dbtsai commented on the pull request:
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TODO
1) p = Double.PositiveInfinity. 1, 2, and inf.
2) Add withStd back.
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@@ -0,0 +1,94 @@
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+ * Licensed to the Apache Software Foun
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@@ -0,0 +1,58 @@
+/*
+ * Licensed to the Apache Software Foundation
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QA results for PR 1207:- This patch PASSES unit tests.- This patch
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Is there a reference implementation that you followed or this is all new?
Does PMML standard define something similar?
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GitHub user dbtsai opened a pull request:
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SPARK-2272 [MLlib] Feature scaling which standardizes the range of
independent variables or features of data
Feature scaling is a method used to standardize the range of independent
variables or fea
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