Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/13959
I don't understand. If you don't have time to review that is fine (I've
been there too), but there is no need to close a PR due to unavailability of
comitters.
One of the reasons, that I
Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/17621
Thanks @MLnick !
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Github user MechCoder closed the pull request at:
https://github.com/apache/spark/pull/14273
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Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/7963
Thanks for the reviews @holdenk . Unfortunately I will not be able to work
on this anytime soon. Feel free to cherry-pick the commits, (if you wish)
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Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/14640
Just FYI, we plan to rename "LabelKFold" to "GroupKFold" in the next
version of sklearn as a label can mean several things. (including the target
label)
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Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/13650
@yanboliang Sorry for the wrong delay! Hope you are still here.
1. The term variance in predictions is ambiguous and a bit misleading. Let
us say that we have the original data generating
Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/14579#discussion_r75567101
--- Diff: python/pyspark/rdd.py ---
@@ -188,6 +188,12 @@ def __init__(self, jrdd, ctx,
jrdd_deserializer=AutoBatchedSerializer(PickleSeri
Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/12790
Yes, I agree that allowing steps to be an empty Sequence or a list in a
Pipeline is non-intuitive but I'm fine with allowing that corner case.
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Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/12790
Awesome! Thansk!
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Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/12790#discussion_r75390810
--- Diff: python/pyspark/status.py ---
@@ -83,6 +85,8 @@ def getJobInfo(self, jobId):
job = self._jtracker.getJobInfo(jobId
Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/12790
If that's the case then the piece of documentation that promises the
Pipeline to behave as an identity transformer when no stages are used, has to
be changed (removed).
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Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/14653#discussion_r75230698
--- Diff: python/pyspark/ml/wrapper.py ---
@@ -243,7 +240,7 @@ def __init__(self, java_model=None):
"""
Initializ
Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/13036
lgtm
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Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/14653
Should we start having
`PredictorParams` -> (HasLabelCol, HasFeaturesCol, HasPredictionCol)
`ClassifierParams` -> (HasRawPredictionCol)
as done in the Scal
Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/14653#discussion_r75228035
--- Diff: python/pyspark/ml/classification.py ---
@@ -59,6 +59,16 @@ class LogisticRegression(JavaEstimator, HasFeaturesCol,
HasLabelCol, HasPredicti
Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/14653#discussion_r75227783
--- Diff: python/pyspark/ml/classification.py ---
@@ -59,6 +59,16 @@ class LogisticRegression(JavaEstimator, HasFeaturesCol,
HasLabelCol, HasPredicti
Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/14653#discussion_r75225024
--- Diff: python/pyspark/ml/classification.py ---
@@ -59,6 +59,16 @@ class LogisticRegression(JavaEstimator, HasFeaturesCol,
HasLabelCol, HasPredicti
Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/12790
LGTM: cc @yanboliang @srowen
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Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/12790#discussion_r75024959
--- Diff: python/pyspark/ml/pipeline.py ---
@@ -57,9 +57,8 @@ def __init__(self, stages=None):
"""
__init__(se
Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/12790#discussion_r75023876
--- Diff: python/pyspark/ml/tests.py ---
@@ -230,6 +230,15 @@ def test_pipeline(self):
self.assertEqual(5, transformer3.dataset_index
Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/14467#discussion_r74845665
--- Diff: python/pyspark/context.py ---
@@ -173,9 +173,8 @@ def _do_init(self, master, appName, sparkHome, pyFiles,
environment, batchSize
Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/14579#discussion_r74813935
--- Diff: python/pyspark/rdd.py ---
@@ -188,6 +188,12 @@ def __init__(self, jrdd, ctx,
jrdd_deserializer=AutoBatchedSerializer(PickleSeri
Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/14579#discussion_r74811199
--- Diff: python/pyspark/rdd.py ---
@@ -188,6 +188,12 @@ def __init__(self, jrdd, ctx,
jrdd_deserializer=AutoBatchedSerializer(PickleSeri
Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/14273
bump?
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Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/12889#discussion_r73947457
--- Diff: python/pyspark/ml/classification.py ---
@@ -44,6 +44,23 @@
@inherit_doc
+class JavaClassificationModel(JavaPredictionModel
Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/12983
In sklearn, we use `sklearn.six.moves` which makes `range` and `xrange` to
be used interchangeably. In Python3, both `range` and `xrange` would return a
`range` instance and in Py2, both `xrange
Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/13571#discussion_r72870886
--- Diff: python/pyspark/sql/functions.py ---
@@ -1731,13 +1749,115 @@ def sort_array(col, asc=True):
# User
Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/14273
@jkbradley Would you be able to have a look?
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Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/12889#discussion_r71629288
--- Diff: python/pyspark/ml/classification.py ---
@@ -581,8 +602,11 @@ def _create_model(self, java_model):
@inherit_doc
-class
Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/12889
Just `LinearRegressionModel` seems missing to me. LGTM otherwise.
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Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/12374#discussion_r71615972
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/tree/impl/RandomForestSuite.scala ---
@@ -137,14 +137,47 @@ class RandomForestSuite extends
Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/12374#discussion_r71615183
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/tree/impl/RandomForest.scala ---
@@ -692,14 +692,20 @@ private[spark] object RandomForest extends
Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/12374
LGTM
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Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/12374#discussion_r71615061
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/tree/impl/RandomForestSuite.scala ---
@@ -137,14 +137,47 @@ class RandomForestSuite extends
Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/13248
Can you please reopen the pull request across the spark master branch?
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Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/14273
ping @jkbradley @mengxr
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GitHub user MechCoder opened a pull request:
https://github.com/apache/spark/pull/14273
[SPARK-9140] [ML] Replace TimeTracker by MultiStopwatch
## What changes were proposed in this pull request?
Builds upon the work done by @hhbyyh in
https://github.com/apache/spark/pull
Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/7871
@hhbyyh What is your opinion about renaming `addLocal` to `addOrGetLocal`
which returns a local stopwatch if it already exists? That should solve your
concerns.
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Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/7871
@hhbyyh What is your opinion about adding
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Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/12374
Outside of this PR, I would like to either:
1. Update the documentation of `findSplitsForContinuousFeature` to reflect
that the return type is an array of thresholds, rather than an array
Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/12374#discussion_r69827161
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/tree/impl/RandomForestSuite.scala ---
@@ -137,14 +137,47 @@ class RandomForestSuite extends
Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/12374
@sethah Nice catch! This superfluous split seems to be only for continuous
features in which the number of unique values - 1 is lesser than or equal to
the number of splits. Can you update the PR
Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/12374#discussion_r69826097
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/tree/impl/RandomForestSuite.scala ---
@@ -137,14 +137,47 @@ class RandomForestSuite extends
Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/12374#discussion_r69825860
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/tree/impl/RandomForestSuite.scala ---
@@ -137,14 +137,47 @@ class RandomForestSuite extends
Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/12374#discussion_r69825752
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/tree/impl/RandomForestSuite.scala ---
@@ -137,14 +137,47 @@ class RandomForestSuite extends
Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/12374#discussion_r69824592
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/tree/impl/RandomForestSuite.scala ---
@@ -137,14 +137,47 @@ class RandomForestSuite extends
Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/12374#discussion_r69824338
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/tree/impl/RandomForestSuite.scala ---
@@ -114,7 +114,7 @@ class RandomForestSuite extends SparkFunSuite
Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/12374#discussion_r69824214
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/tree/impl/RandomForest.scala ---
@@ -712,17 +712,23 @@ private[spark] object RandomForest extends
Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/14016
I agree with you, I created a new JIRA and renamed the title.
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Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/13981#discussion_r69770334
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/regression/DecisionTreeRegressorSuite.scala
---
@@ -96,6 +97,25 @@ class DecisionTreeRegressorSuite
Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/13981
Thanks @sethah @yanboliang for the reviews!!
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Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/13981
@yanboliang Would appreciate it if you could look at
https://github.com/apache/spark/pull/13650
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Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/13981#discussion_r69660324
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/regression/DecisionTreeRegressorSuite.scala
---
@@ -96,6 +97,25 @@ class DecisionTreeRegressorSuite
Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/13981
OK, that should be it. I removed all the unused variables and imports.
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Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/13981
@yanboliang Thanks! Addressed your comments. Let me know if there is
anything else.
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Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/8013
I'll be happy to review it.
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Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/13981#discussion_r69419165
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/regression/DecisionTreeRegressorSuite.scala
---
@@ -96,6 +108,15 @@ class DecisionTreeRegressorSuite
Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/13981
I'm slightly in favour of keeping the original test because the impurity is
set to "variance" explicitly by the `setImpurity` method, so it's a safe
assumption that the `calculate` meth
Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/13981#discussion_r69363260
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/regression/DecisionTreeRegressorSuite.scala
---
@@ -96,6 +108,15 @@ class DecisionTreeRegressorSuite
Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/14016
@srowen fixed.
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Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/13981
@sethah Thank you for your comments. I have addressed them. Do you have
anything else?
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Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/14016
Thanks for clarifying! It might be a good time to get rid of it..
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Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/13981#discussion_r69333966
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/regression/DecisionTreeRegressorSuite.scala
---
@@ -96,6 +108,15 @@ class DecisionTreeRegressorSuite
Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/13981#discussion_r69332114
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/regression/DecisionTreeRegressorSuite.scala
---
@@ -96,6 +108,15 @@ class DecisionTreeRegressorSuite
Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/14016
ping @srowen @JoshRosen
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GitHub user MechCoder opened a pull request:
https://github.com/apache/spark/pull/14016
[SPARK-15761] [FOLLOWUP] Set DEFAULT_PYTHON to python
## What changes were proposed in this pull request?
I would like to change
```bash
if hash python2.7 2>/dev/n
Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/13503
retest this please
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Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/13503
I would also like to change
```bash
if hash python2.7 2>/dev/null; then
# Attempt to use Python 2.7, if installed:
DEFAULT_PYTHON="python2.7"
else
D
Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/13503
@JoshRosen fixed, thanks! let me know if you need any other changes.
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Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/13503
bump?
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Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/12983
I don't really get the difference, could you please explain it to me..
The previous version renamed `range` in `Python3` to `xrange` and this pull
request does the same thing by renaming
Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/13997#discussion_r69176771
--- Diff: python/pyspark/mllib/linalg/__init__.py ---
@@ -1044,6 +1122,28 @@ def toSparse(self):
return SparseMatrix(self.numRows
Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/13997
LGTM pending nitpicks.
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Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/13997#discussion_r69176457
--- Diff: python/pyspark/mllib/linalg/__init__.py ---
@@ -846,6 +890,33 @@ def dense(*elements):
return DenseVector(elements
Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/13650#discussion_r69039559
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/regression/RandomForestRegressorSuite.scala
---
@@ -105,6 +108,55 @@ class RandomForestRegressorSuite
GitHub user MechCoder opened a pull request:
https://github.com/apache/spark/pull/13981
[SPARK-16307] [ML] Add test to verify the predicted variances of a DT on
toy data
## What changes were proposed in this pull request?
The current tests assumes that `impurity.calculate
Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/13981
@yanboliang Could you have a look?
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Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/13650#discussion_r68985017
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/regression/RandomForestRegressor.scala
---
@@ -168,15 +173,39 @@ class RandomForestRegressionModel
Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/13959
The test failure is just due to binary incompatibility. I can fix those
once we decide that the current PR is the way to proceed.
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Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/13959
@jkbradley @sethah Please have a look when free!
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GitHub user MechCoder opened a pull request:
https://github.com/apache/spark/pull/13959
[SPARK-14351] [MLlib] [ML] Optimize findBestSplits method for decision
trees (and random forest)
## What changes were proposed in this pull request?
The current `findBestSplits` method
Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/7963
Bump?
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Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/13650
cc: @yanboliang @MLnick
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GitHub user MechCoder opened a pull request:
https://github.com/apache/spark/pull/13650
[SPARK-9623] [ML] Provide variance for RandomForestRegressor predictions
## What changes were proposed in this pull request?
It is useful to get the variance of predictions from
Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/13493
lgtm cc: @MLnick
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Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/13540
LGTM as well. pending the nitpick by @BryanCutler
Not related, but it's been a while since I hacked on Spark or PySpark but
at some point do we need better docs for PySpark? I couldn't
Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/12370
Should be there a sanity check providing input RDD of instance objects and
`extractSampleWeight` as callable that just returns the weight for each
instance?
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Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/12370#discussion_r65994490
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/tree/impl/BaggedPoint.scala ---
@@ -33,13 +33,20 @@ import org.apache.spark.util.random.XORShiftRandom
Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/13503
Merge?
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Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/13503
cc @JoshRosen
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Github user MechCoder commented on the issue:
https://github.com/apache/spark/pull/13248
@praveendareddy21 Just made a first pass. Also please run PEP8 on your code
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Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/13248#discussion_r65794904
--- Diff: python/pyspark/ml/stat/distribution.py ---
@@ -0,0 +1,267 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/13248#discussion_r65794836
--- Diff: python/pyspark/ml/stat/distribution.py ---
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+# Licensed to the Apache Software Foundation (ASF) under one or more
Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/13248#discussion_r65794779
--- Diff: python/pyspark/ml/stat/distribution.py ---
@@ -0,0 +1,267 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/13248#discussion_r65794427
--- Diff: python/pyspark/ml/stat/distribution.py ---
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+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/13248#discussion_r65794325
--- Diff: python/pyspark/ml/stat/distribution.py ---
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+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/13248#discussion_r65794293
--- Diff: python/pyspark/ml/stat/distribution.py ---
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+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/13248#discussion_r65794126
--- Diff: python/pyspark/ml/stat/distribution.py ---
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+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/13248#discussion_r65794056
--- Diff: python/pyspark/ml/stat/distribution.py ---
@@ -0,0 +1,267 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
Github user MechCoder commented on a diff in the pull request:
https://github.com/apache/spark/pull/13248#discussion_r65793951
--- Diff: python/pyspark/ml/stat/distribution.py ---
@@ -0,0 +1,267 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
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