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@mengxr I am going to update PRs #8248 #8247 #8243 #8241 and #8249 after PR
#8241 is merged to trunk. This is needed because we want to use the common
trait
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--- Diff:
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@@ -0,0 +1,45 @@
+/*
+* Licensed to the Apache Software
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--- Diff: python/pyspark/ml/feature.py ---
@@ -167,6 +167,65 @@ def getSplits(self):
@inherit_doc
+class DCT(JavaTransformer, HasInputCol,
GitHub user hhbyyh opened a pull request:
https://github.com/apache/spark/pull/8487
[SPARK-9890] [Doc] [ML] User guide for CountVectorizer
jira: https://issues.apache.org/jira/browse/SPARK-9890
document with Scala and java examples
You can merge this pull request into a
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LGTM except minor inline comments.
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Can you point me to the jira where that decision was made?
Hadoop globbing only covers a small subset of all use cases. For example
for timeseries analysis
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--- Diff: python/pyspark/ml/feature.py ---
@@ -167,6 +167,65 @@ def getSplits(self):
@inherit_doc
+class DCT(JavaTransformer, HasInputCol,
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--- Diff: sql/hive/pom.xml ---
@@ -36,6 +36,12 @@
/properties
dependencies
+!-- Added for sbt issue, expected to be evicted --
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--- Diff: docs/ml-guide.md ---
@@ -868,6 +868,132 @@ jsc.stop();
/div
+## Example: Model Selection via Train Validation Split
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--- Diff: docs/ml-guide.md ---
@@ -868,6 +868,132 @@ jsc.stop();
/div
+## Example: Model Selection via Train Validation Split
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retest this please.
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Github user jmdvinodjmd commented on the pull request:
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I am facing following problem with C:\spark-1.4.1-bin-hadoop2.6.
Some people referred that this is fixed in 1.4 but I am still getting this
error on windows 7.
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--- Diff: docs/ml-features.md ---
@@ -211,6 +211,87 @@ for feature in result.select(result).take(3):
/div
/div
+## CountVectorizer
+
Github user mengxr commented on a diff in the pull request:
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--- Diff: docs/ml-features.md ---
@@ -211,6 +211,87 @@ for feature in result.select(result).take(3):
/div
/div
+## CountVectorizer
+
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--- Diff: docs/ml-features.md ---
@@ -211,6 +211,87 @@ for feature in result.select(result).take(3):
/div
/div
+## CountVectorizer
+
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--- Diff: docs/ml-features.md ---
@@ -211,6 +211,87 @@ for feature in result.select(result).take(3):
/div
/div
+## CountVectorizer
+
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--- Diff: docs/ml-features.md ---
@@ -211,6 +211,87 @@ for feature in result.select(result).take(3):
/div
/div
+## CountVectorizer
+
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--- Diff: docs/ml-features.md ---
@@ -211,6 +211,87 @@ for feature in result.select(result).take(3):
/div
/div
+## CountVectorizer
+
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--- Diff: docs/ml-features.md ---
@@ -211,6 +211,87 @@ for feature in result.select(result).take(3):
/div
/div
+## CountVectorizer
+
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--- Diff: docs/ml-features.md ---
@@ -211,6 +211,87 @@ for feature in result.select(result).take(3):
/div
/div
+## CountVectorizer
+
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--- Diff: docs/ml-features.md ---
@@ -211,6 +211,87 @@ for feature in result.select(result).take(3):
/div
/div
+## CountVectorizer
+
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--- Diff: docs/ml-features.md ---
@@ -211,6 +211,87 @@ for feature in result.select(result).take(3):
/div
/div
+## CountVectorizer
+
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ok to test
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Can one of the admins verify this patch?
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--- Diff: docs/ml-guide.md ---
@@ -868,6 +868,132 @@ jsc.stop();
/div
+## Example: Model Selection via Train Validation Split
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/div
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ok to test
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@sabhyankar @feynmanliang It is recommended to keep PRs small. Let's keep
this one.
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retest this please
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I am not sure Union is a good idea at all, since i would have to union
DataFrames for hundreds of partitions and the Union logical operator only takes
left and
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/codegen/GenerateUnsafeProjection.scala
---
@@ -286,21 +264,29 @@ object
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--- Diff: docs/sql-programming-guide.md ---
@@ -2057,6 +2057,12 @@ options.
- The canonical name of SQL/DataFrame functions are now lower case (e.g.
sum
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/local/LimitNode.scala ---
@@ -0,0 +1,45 @@
+/*
+* Licensed to the Apache Software
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--- Diff:
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@@ -0,0 +1,45 @@
+/*
+* Licensed to the Apache Software
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--- Diff:
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---
@@ -0,0 +1,42 @@
+/*
+* Licensed to the Apache
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It works. I will update doc.
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@@ -49,6 +49,8 @@ class Checkpoint(@transient ssc: StreamingContext, val
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https://github.com/apache/spark/pull/8469#issuecomment-135540545
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Github user tdas commented on the pull request:
https://github.com/apache/spark/pull/8477#issuecomment-135536394
@harishreedharan @vanzin Could you guys take a look at this?
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Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/8398#issuecomment-135539101
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/8398#issuecomment-135538978
[Test build #41703 has
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for PR 8398 at commit
Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/8469#issuecomment-135540508
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