Github user pwendell commented on the pull request:
https://github.com/apache/spark/pull/8350#issuecomment-140562180
No problem - I should have caught it earlier. Hopefully people didn't spin
too many cycles on this.
On Tue, Sep 15, 2015 at 12:56 AM, Sean Owen
wrote:
Github user SparkQA commented on the pull request:
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Github user holdenk commented on the pull request:
https://github.com/apache/spark/pull/8740#issuecomment-140560938
Sure, I'll try and compile the java test code tonight.
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Github user yhuai commented on a diff in the pull request:
https://github.com/apache/spark/pull/8512#discussion_r39570929
--- Diff: core/src/main/scala/org/apache/spark/deploy/SparkS3Util.scala ---
@@ -0,0 +1,299 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) un
Github user mingyukim commented on a diff in the pull request:
https://github.com/apache/spark/pull/8763#discussion_r39570848
--- Diff: core/src/main/scala/org/apache/spark/rdd/NewHadoopRDD.scala ---
@@ -230,12 +251,16 @@ class NewHadoopRDD[K, V](
super.persist(storageLevel
Github user marmbrus commented on the pull request:
https://github.com/apache/spark/pull/8200#issuecomment-140557486
Is there a reason to not do all of this in the optimizer?
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Github user JoshRosen commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/rdd/NewHadoopRDD.scala ---
@@ -230,12 +251,16 @@ class NewHadoopRDD[K, V](
super.persist(storageLevel
Github user yhuai commented on a diff in the pull request:
https://github.com/apache/spark/pull/8512#discussion_r39569881
--- Diff: core/src/main/scala/org/apache/spark/deploy/SparkS3Util.scala ---
@@ -0,0 +1,299 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) un
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Github user yhuai commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/deploy/SparkS3Util.scala ---
@@ -0,0 +1,299 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) un
Github user JoshRosen commented on the pull request:
https://github.com/apache/spark/pull/8575#issuecomment-140554616
Jenkins, this is ok to test.
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Github user JoshRosen commented on the pull request:
https://github.com/apache/spark/pull/8354#issuecomment-140554525
Is there a way to add a test for this?
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Github user JoshRosen commented on the pull request:
https://github.com/apache/spark/pull/8743#issuecomment-140554359
Will this case be covered by the end-to-end docker tests?
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Github user JoshRosen commented on the pull request:
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Please update the pull request description to describe the changes in this
patch.
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Github user avulanov commented on the pull request:
https://github.com/apache/spark/pull/8757#issuecomment-140554085
Thank you for the update. Indeed, the tests take finite time to finish now.
Let's add @mengxr to the discussion.
Distributed matrix multiplication makes sense w
Github user mingyukim commented on a diff in the pull request:
https://github.com/apache/spark/pull/8763#discussion_r39568729
--- Diff: core/src/main/scala/org/apache/spark/rdd/NewHadoopRDD.scala ---
@@ -230,12 +251,16 @@ class NewHadoopRDD[K, V](
super.persist(storageLevel
Github user JoshRosen commented on the pull request:
https://github.com/apache/spark/pull/8312#issuecomment-140553856
@rxin @marmbrus, do we want this syntactic sugar?
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--- Diff: core/src/main/scala/org/apache/spark/rdd/NewHadoopRDD.scala ---
@@ -230,12 +251,16 @@ class NewHadoopRDD[K, V](
super.persist(storageLevel
Github user GayathriMurali commented on the pull request:
https://github.com/apache/spark/pull/8647#issuecomment-140552289
Removed astype implementation added self.cast(dataType) return. Made
similar changes to groupby as well
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Github user SleepyThread commented on the pull request:
https://github.com/apache/spark/pull/8771#issuecomment-140548388
@andrewor14 Can you please take a look at it?
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Github user yhuai commented on the pull request:
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@piaozhexiu Sorry if I miss anything. I am trying to catch
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Github user selvinsource commented on the pull request:
https://github.com/apache/spark/pull/7842#issuecomment-140540576
Yeah, I am planning to review what @JasmineGeorge did soon, I have been a
bit busy lately.
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Github user vanzin commented on the pull request:
https://github.com/apache/spark/pull/8676#issuecomment-140539473
retest this please
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retest this please
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Github user noel-smith commented on the pull request:
https://github.com/apache/spark/pull/8689#issuecomment-140536184
These changes are already included in #8685. Can probably drop this PR and
merge SPARK-10279 with SPARK-10278.
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Github user vanzin commented on the pull request:
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retest this please
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Github user vanzin commented on the pull request:
https://github.com/apache/spark/pull/8437#issuecomment-140536012
For the curious, the issue is that the junit test runners (both surefire
and the sbt one) need the tag classes around or they'll throw an error, and
that happens when bui
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Github user noel-smith commented on the pull request:
https://github.com/apache/spark/pull/8685#issuecomment-140533249
Just minor fixes needed - change `addedversion` to `versionadded` + one
version number alteration.
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Github user noel-smith commented on a diff in the pull request:
https://github.com/apache/spark/pull/8685#discussion_r39562007
--- Diff: python/pyspark/mllib/util.py ---
@@ -235,6 +248,8 @@ def save(self, sc, path):
class Loader(object):
"""
Mixin for classes
Github user noel-smith commented on a diff in the pull request:
https://github.com/apache/spark/pull/8685#discussion_r39562037
--- Diff: python/pyspark/mllib/util.py ---
@@ -280,15 +297,21 @@ def _load_java(cls, sc, path):
return java_obj.load(sc._jsc.sc(), path)
Github user noel-smith commented on a diff in the pull request:
https://github.com/apache/spark/pull/8685#discussion_r39562027
--- Diff: python/pyspark/mllib/util.py ---
@@ -256,6 +271,8 @@ class JavaLoader(Loader):
"""
Mixin for classes which can load saved models
Github user noel-smith commented on a diff in the pull request:
https://github.com/apache/spark/pull/8685#discussion_r39561998
--- Diff: python/pyspark/mllib/util.py ---
@@ -222,9 +231,13 @@ class JavaSaveable(Saveable):
"""
Mixin for models that provide save() thr
Github user noel-smith commented on a diff in the pull request:
https://github.com/apache/spark/pull/8685#discussion_r39561981
--- Diff: python/pyspark/mllib/util.py ---
@@ -197,6 +204,8 @@ def loadVectors(sc, path):
class Saveable(object):
"""
Mixin for model
Github user noel-smith commented on a diff in the pull request:
https://github.com/apache/spark/pull/8685#discussion_r39561958
--- Diff: python/pyspark/mllib/util.py ---
@@ -32,6 +32,8 @@ class MLUtils(object):
"""
Helper methods to load, save and pre-process
Github user noel-smith commented on a diff in the pull request:
https://github.com/apache/spark/pull/8685#discussion_r39561631
--- Diff: python/pyspark/mllib/tree.py ---
@@ -431,6 +461,8 @@ class GradientBoostedTrees(object):
Learning algorithm for a gradient boosted
Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/8644
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--- Diff: python/pyspark/mllib/tree.py ---
@@ -418,6 +446,8 @@ class GradientBoostedTreesModel(TreeEnsembleModel,
JavaLoader):
.. note:: Experimen
Github user noel-smith commented on a diff in the pull request:
https://github.com/apache/spark/pull/8685#discussion_r39561531
--- Diff: python/pyspark/mllib/tree.py ---
@@ -252,6 +276,8 @@ class RandomForest(object):
Learning algorithm for a random forest model for c
Github user marmbrus commented on the pull request:
https://github.com/apache/spark/pull/8644#issuecomment-140530139
Thanks, merging to master.
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--- Diff: python/pyspark/mllib/tree.py ---
@@ -30,6 +30,11 @@
class TreeEnsembleModel(JavaModelWrapper, JavaSaveable):
+"""TreeEnse
Github user noel-smith commented on a diff in the pull request:
https://github.com/apache/spark/pull/8685#discussion_r39561444
--- Diff: python/pyspark/mllib/tree.py ---
@@ -72,7 +80,10 @@ class DecisionTreeModel(JavaModelWrapper, JavaSaveable,
JavaLoader):
.. note:: Exper
Github user noel-smith commented on a diff in the pull request:
https://github.com/apache/spark/pull/8685#discussion_r39561473
--- Diff: python/pyspark/mllib/tree.py ---
@@ -115,6 +133,8 @@ class DecisionTree(object):
Learning algorithm for a decision tree model for c
Github user noel-smith commented on a diff in the pull request:
https://github.com/apache/spark/pull/8685#discussion_r39561501
--- Diff: python/pyspark/mllib/tree.py ---
@@ -239,6 +261,8 @@ class RandomForestModel(TreeEnsembleModel, JavaLoader):
.. note:: Experimental
Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/8599
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Thanks, merged to master.
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--- Diff: python/pyspark/mllib/tree.py ---
@@ -90,16 +101,23 @@ def predict(self, x):
else:
return self.call("predict", _conve
Github user mingyukim commented on a diff in the pull request:
https://github.com/apache/spark/pull/8763#discussion_r39560543
--- Diff: core/src/main/scala/org/apache/spark/rdd/NewHadoopRDD.scala ---
@@ -230,12 +251,16 @@ class NewHadoopRDD[K, V](
super.persist(storageLevel
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Github user feynmanliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/8752#discussion_r39559676
--- Diff: docs/mllib-feature-extraction.md ---
@@ -506,7 +523,7 @@ v_N
[`ElementwiseProduct`](api/scala/index.html#org.apache.spark.mllib.feat
Github user feynmanliang commented on the pull request:
https://github.com/apache/spark/pull/8752#issuecomment-140526380
LGTM after changes
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--- Diff: docs/ml-features.md ---
@@ -123,12 +123,21 @@ for features_label in rescaledData.select("features",
"label").take(3):
## Word2Vec
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Looks good - just need to replace `addedversion` with `versionadded` in the
class docstrings.
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--- Diff: project/MimaExcludes.scala ---
@@ -73,7 +81,11 @@ object MimaExcludes {
"org.apache.spark.ml.regression.LeastSquaresCostFun.this"),
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--- Diff: project/MimaExcludes.scala ---
@@ -73,7 +81,11 @@ object MimaExcludes {
"org.apache.spark.ml.regression.LeastSquaresCostFun.this"),
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--- Diff: python/pyspark/mllib/regression.py ---
@@ -640,6 +736,8 @@ class
StreamingLinearRegressionWithSGD(StreamingLinearAlgorithm):
:param: num
Github user noel-smith commented on a diff in the pull request:
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--- Diff: python/pyspark/mllib/regression.py ---
@@ -571,8 +641,29 @@ def load(cls, sc, path):
class IsotonicRegression(object):
+"
Github user noel-smith commented on a diff in the pull request:
https://github.com/apache/spark/pull/8684#discussion_r39558375
--- Diff: python/pyspark/mllib/regression.py ---
@@ -523,6 +586,8 @@ class IsotonicRegressionModel(Saveable, Loader):
... rmtree(path)
Github user noel-smith commented on a diff in the pull request:
https://github.com/apache/spark/pull/8684#discussion_r39558409
--- Diff: python/pyspark/mllib/regression.py ---
@@ -590,10 +681,13 @@ class StreamingLinearAlgorithm(object):
Base class that has to be inherited
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--- Diff: python/pyspark/mllib/regression.py ---
@@ -445,8 +497,19 @@ def load(cls, sc, path):
class RidgeRegressionWithSGD(object):
+
Github user noel-smith commented on a diff in the pull request:
https://github.com/apache/spark/pull/8684#discussion_r39558311
--- Diff: python/pyspark/mllib/regression.py ---
@@ -326,8 +361,19 @@ def load(cls, sc, path):
class LassoWithSGD(object):
+"""
Github user noel-smith commented on a diff in the pull request:
https://github.com/apache/spark/pull/8684#discussion_r39558335
--- Diff: python/pyspark/mllib/regression.py ---
@@ -428,14 +474,20 @@ class RidgeRegressionModel(LinearRegressionModelBase):
True
>>> abs
Github user noel-smith commented on a diff in the pull request:
https://github.com/apache/spark/pull/8684#discussion_r39558268
--- Diff: python/pyspark/mllib/regression.py ---
@@ -198,8 +215,20 @@ def _regression_train_wrapper(train_func, modelClass,
data, initial_weights):
Github user noel-smith commented on a diff in the pull request:
https://github.com/apache/spark/pull/8684#discussion_r39558296
--- Diff: python/pyspark/mllib/regression.py ---
@@ -309,14 +338,20 @@ class LassoModel(LinearRegressionModelBase):
True
>>> abs(lrm.predi
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--- Diff: python/pyspark/mllib/regression.py ---
@@ -162,14 +173,20 @@ class
LinearRegressionModel(LinearRegressionModelBase):
True
>>> a
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Done.
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/8676#issuecomment-140520458
[Test build #1760 has
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Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/8752#issuecomment-140520578
Merged build started.
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Github user rxin commented on the pull request:
https://github.com/apache/spark/pull/8676#issuecomment-140520174
(Oops spoke too soon - I will merge after tests pass)
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Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/8437#issuecomment-140520203
Shall we revert the PR first? It is blocking other PRs.
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Github user rxin commented on the pull request:
https://github.com/apache/spark/pull/8676#issuecomment-140520067
Thanks. Merging this in master.
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Github user jkbradley commented on the pull request:
https://github.com/apache/spark/pull/8752#issuecomment-140519878
@feynmanliang Thanks for reviewing. Just updated per your comments.
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Github user vanzin commented on the pull request:
https://github.com/apache/spark/pull/8437#issuecomment-140519235
This seems to have caused PR tests to start failing... I'll try things
locally again and revert the patch if needed.
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Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/7884#issuecomment-140519144
Merged build finished. Test FAILed.
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/7884#issuecomment-140519058
[Test build #42497 has
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Github user sryza commented on the pull request:
https://github.com/apache/spark/pull/8763#issuecomment-140519129
Oh, nevermind, sorry, this is off by default.
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Github user AmplabJenkins commented on the pull request:
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Test FAILed.
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