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package org.apache.spark.ml.tuning
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--- Diff:
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---
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--- Diff: python/pyspark/ml/tuning.py ---
@@ -91,7 +94,90 @@ def build(self):
return [dict(zip(keys, prod)) for prod in
itertools.product(*gri
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--- Diff: python/pyspark/ml/tuning.py ---
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return [dict(zip(keys, prod)) for prod in
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--- Diff: python/pyspark/ml/tuning.py ---
@@ -112,15 +198,24 @@ class CrossValidator(Estimator, HasSeed):
>>> cvModel = cv.fit(dataset)
>>
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--- Diff: python/pyspark/ml/tuning.py ---
@@ -91,7 +94,90 @@ def build(self):
return [dict(zip(keys, prod)) for prod in
itertools.product(*gri
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/param/params.scala ---
@@ -932,6 +932,11 @@ final class ParamMap private[ml] (private val map:
mutable.M
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--- Diff: python/pyspark/ml/tuning.py ---
@@ -236,7 +286,10 @@ def _fit(self, dataset):
else:
bestIndex = np.argmin(metrics)
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--- Diff: python/pyspark/ml/wrapper.py ---
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value = _java2py(sc,
self._jav
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--- Diff: python/pyspark/ml/wrapper.py ---
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paramMap = self.extractParamMap()
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value = _java2py(sc,
self._jav
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--- Diff: python/pyspark/ml/wrapper.py ---
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--- Diff: python/pyspark/ml/wrapper.py ---
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param = self._resolveParam(param)
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--- Diff: python/pyspark/ml/tuning.py ---
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return [dict(zip(keys, prod)) for prod in
itertools.product(*gri
Github user srowen commented on the pull request:
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Ha fair enough. From poking around the internet I'm pretty sure the first
is an estimate of gamma, the topic distribution (as the comments say) and the
second are suffic
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+1
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I sent most of my comments but am not quite done yet.
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--- Diff: python/pyspark/ml/tuning.py ---
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--- Diff:
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---
@@ -85,24 +91,23 @@ case class DropFunction(
extends
Github user andrewor14 commented on the pull request:
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Thanks @yhuai @viirya I'm merging this into master.
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@@ -553,9 +553,13 @@ class SparkSqlAstBuilder extends AstBuilder
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Looks pretty good, just a minor comment.
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Merging into 1.6
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@jeanlyn can you close this PR now that it's merged?
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@@ -85,24 +91,23 @@ case class DropFunction(
extends Runna
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--- Diff: pom.xml ---
@@ -840,14 +827,13 @@
org.apache.avro
avro-mapred
${avro.version}
+
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--- Diff:
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---
@@ -85,24 +91,23 @@ case class DropFunction(
extends Runna
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--- Diff: python/pyspark/ml/tuning.py ---
@@ -289,8 +392,60 @@ def copy(self, extra=None):
extra = dict()
return CrossValidato
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@@ -71,6 +71,16 @@
org.apache.maven.plugins
maven-source-plugin
+
--- End diff
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LGTM if sbt and maven tests pass.
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@@ -480,19 +653,87 @@ def copy(self, extra=None):
extra = dict()
return TrainValidat
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Done with my review!
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@@ -620,6 +620,14 @@ private[spark] class TaskSetManager(
// Not
Github user tgravescs commented on the pull request:
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I've been looking into this and running some tests but at this point I
haven't actually had the kill triggered. I always end up with things getting
Marked failed as
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add to whitelist
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[SPARK-14411][SQL]Add a note to warn that onQueryProgress is asynchronous
## What changes were proposed in this pull request?
onQueryProgress is asynchronous so the user may see some future
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cc @marmbrus
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Github user davies commented on the pull request:
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LGTM, merging this into master, thanks!
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@rxin
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[SPARK-14359] Unit tests for java 8 lambda syntax with typed aggregates
## What changes were proposed in this pull request?
Adds unit tests for java 8 lambda syntax with typed aggregates as a
Github user marmbrus commented on the pull request:
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LGTM
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Github user SparkQA commented on the pull request:
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Github user jkbradley commented on the pull request:
https://github.com/apache/spark/pull/11219#issuecomment-205975994
I don't think this should be public. If this is needed for the
DataFrame-based API, then we should discuss providing the evaluation metric
classes within the spark.m
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Github user SparkQA commented on the pull request:
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GitHub user infynyxx opened a pull request:
https://github.com/apache/spark/pull/12182
use https while downloading binaries
## What changes were proposed in this pull request?
`./build/mvn` file was downloading binaries in non HTTPS mode. This PR
tends to fix it.
Github user AmplabJenkins commented on the pull request:
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Github user dongjoon-hyun commented on the pull request:
https://github.com/apache/spark/pull/12175#issuecomment-205977980
Finally, I passed the Jenkins with the updated code.
Please let me know if there is something I missed.
Thank you, @marmbrus and @srowen .
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