Github user vectorijk commented on the issue:
https://github.com/apache/spark/pull/13690
@shivaram I will update this today.
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Github user vectorijk commented on a diff in the pull request:
https://github.com/apache/spark/pull/15365#discussion_r82497112
--- Diff: R/pkg/R/mllib.R ---
@@ -117,7 +124,7 @@ NULL
#' @export
#' @seealso \link{spark.glm}, \link{glm},
#' @seealso
Github user vectorijk commented on a diff in the pull request:
https://github.com/apache/spark/pull/15365#discussion_r82497107
--- Diff: R/pkg/R/mllib.R ---
@@ -105,7 +112,7 @@ setClass("KSTest", representation(jobj = "jobj"))
#' @seealso \l
Github user vectorijk commented on the issue:
https://github.com/apache/spark/pull/13690
@felixcheung @shivaram @junyangq It's ready for the review.
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Github user vectorijk commented on the issue:
https://github.com/apache/spark/pull/15365
@wangmiao1981 I saw the similar error on Jekin. Same with question with you.
Regarding to `e1071`, I think we only need to install that package locally.
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Github user vectorijk commented on the issue:
https://github.com/apache/spark/pull/13690
@felixcheung I'll update the changes in this two days.
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Github user vectorijk commented on the issue:
https://github.com/apache/spark/pull/13690
@junyangq I have started working on random forest wrapper. I will open PR
as soon as possible. Also, I'll update this PR very soon. Thanks.
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Github user vectorijk commented on the issue:
https://github.com/apache/spark/pull/13690
Yes, sure. But I'm in a vacation this week. I will keep working on this and
update as soon as possible when I get back next week.
On Thu, Aug 11, 2016, 19:46 Felix Cheung
Github user vectorijk closed the pull request at:
https://github.com/apache/spark/pull/13922
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Github user vectorijk commented on the issue:
https://github.com/apache/spark/pull/13922
@MLnick Thanks! I will close this PR.
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Github user vectorijk commented on the issue:
https://github.com/apache/spark/pull/14136
We also need to remove line here
https://github.com/apache/spark/blob/master/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveSessionCatalog.scala#L240.
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Github user vectorijk commented on a diff in the pull request:
https://github.com/apache/spark/pull/14136#discussion_r70834638
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala ---
@@ -475,4 +475,20 @@ class DataFrameAggregateSuite extends
Github user vectorijk commented on the issue:
https://github.com/apache/spark/pull/14182
@wangmiao1981
TODO:
`summary()`?
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Github user vectorijk commented on a diff in the pull request:
https://github.com/apache/spark/pull/14182#discussion_r70682078
--- Diff: R/pkg/R/mllib.R ---
@@ -53,6 +53,13 @@ setClass("AFTSurvivalRegressionModel",
representation(jobj = "jobj"))
#'
Github user vectorijk commented on a diff in the pull request:
https://github.com/apache/spark/pull/14136#discussion_r70294379
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/Percentile.scala
---
@@ -0,0 +1,148 @@
+/*
+ * Licensed
Github user vectorijk commented on a diff in the pull request:
https://github.com/apache/spark/pull/14136#discussion_r70285450
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/Percentile.scala
---
@@ -0,0 +1,148 @@
+/*
+ * Licensed
Github user vectorijk commented on the issue:
https://github.com/apache/spark/pull/13922
cc @jkbradley @yanboliang @Lewuathe
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Github user vectorijk commented on the issue:
https://github.com/apache/spark/pull/9936
@Lewuathe Thanks! I opened a new PR #13922 here for this issue. Would you
mind closing this PR later?
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GitHub user vectorijk opened a pull request:
https://github.com/apache/spark/pull/13922
[SPARK-11938][PySpark] Expose numFeatures in all ML PredictionModel for
PySpark
## What changes were proposed in this pull request?
JIRA:
[https://issues.apache.org/jira/browse/SPARK-11938
Github user vectorijk commented on the issue:
https://github.com/apache/spark/pull/13248
ping @praveendareddy21 Is this still active? If not, I could help with this.
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Github user vectorijk commented on the issue:
https://github.com/apache/spark/pull/9936
ping @Lewuathe Is this still active? If not, I could help with this.
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Github user vectorijk commented on a diff in the pull request:
https://github.com/apache/spark/pull/13820#discussion_r67968653
--- Diff: R/pkg/R/mllib.R ---
@@ -99,10 +114,8 @@ setMethod("spark.glm", signature(data =
"SparkDataFrame", formula = "formula&q
Github user vectorijk commented on a diff in the pull request:
https://github.com/apache/spark/pull/13820#discussion_r67968505
--- Diff: R/pkg/R/mllib.R ---
@@ -99,10 +114,8 @@ setMethod("spark.glm", signature(data =
"SparkDataFrame", formula = "formula&q
Github user vectorijk commented on a diff in the pull request:
https://github.com/apache/spark/pull/13660#discussion_r67945982
--- Diff: docs/sparkr.md ---
@@ -262,6 +262,83 @@ head(df)
{% endhighlight %}
+### Applying User-defined Function
+In SparkR, we
Github user vectorijk commented on a diff in the pull request:
https://github.com/apache/spark/pull/13660#discussion_r67782797
--- Diff: docs/sparkr.md ---
@@ -262,6 +262,79 @@ head(df)
{% endhighlight %}
+### Applying User-defined Function
+In SparkR, we
Github user vectorijk commented on the issue:
https://github.com/apache/spark/pull/13660
Jenkins test this again.
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Github user vectorijk commented on the issue:
https://github.com/apache/spark/pull/12836
@NarineK I am not quite sure. Maybe you could create a new JIRA for
gapply's programming guide.
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Github user vectorijk commented on the issue:
https://github.com/apache/spark/pull/13660
@jkbradley @shivaram @felixcheung addressed comments.
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Github user vectorijk commented on the issue:
https://github.com/apache/spark/pull/12836
@NarineK Cool~ I think it is better to open a separate PR to track `gapply`
programming guide.
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Github user vectorijk commented on the issue:
https://github.com/apache/spark/pull/12836
@NarineK Which way do you want to include programming guide for `gapply`,
in separate PR or in #13660?
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Github user vectorijk commented on a diff in the pull request:
https://github.com/apache/spark/pull/13394#discussion_r67259794
--- Diff: R/pkg/R/mllib.R ---
@@ -402,6 +406,8 @@ setMethod("spark.naiveBayes", signature(data =
"SparkDataFrame", formula = "for
GitHub user vectorijk opened a pull request:
https://github.com/apache/spark/pull/13690
[SPARK-15767][R][ML][WIP] Decision Tree Regression wrapper in SparkR
## What changes were proposed in this pull request?
Implement a wrapper in SparkR to support decision tree regression. R&#
Github user vectorijk commented on the issue:
https://github.com/apache/spark/pull/13394
Thanks! @jkbradley @felixcheung @shivaram Sure. How about use title
`Predicted values based on model object` instead of using `predict` (like
[https://stat.ethz.ch/R-manual/R-devel/library/stats
Github user vectorijk commented on a diff in the pull request:
https://github.com/apache/spark/pull/13660#discussion_r67020817
--- Diff: docs/sparkr.md ---
@@ -262,6 +262,67 @@ head(df)
{% endhighlight %}
+### Applying User-defined Function
Github user vectorijk commented on the issue:
https://github.com/apache/spark/pull/13660
cc @jkbradley @shivaram
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GitHub user vectorijk opened a pull request:
https://github.com/apache/spark/pull/13660
[SPARK-15672][R][DOC] R programming guide update
## What changes were proposed in this pull request?
Guide for
- UDFs with dapply, dapplyCollect
- spark.lapply for running parallel R
Github user vectorijk commented on a diff in the pull request:
https://github.com/apache/spark/pull/13394#discussion_r66917105
--- Diff: R/pkg/R/mllib.R ---
@@ -197,7 +201,7 @@ print.summary.GeneralizedLinearRegressionModel <-
function(x, ...) {
invisibl
Github user vectorijk commented on a diff in the pull request:
https://github.com/apache/spark/pull/13394#discussion_r66719273
--- Diff: R/pkg/R/DataFrame.R ---
@@ -851,6 +849,8 @@ setMethod("nrow",
count(x)
})
+#' ncol
Github user vectorijk commented on a diff in the pull request:
https://github.com/apache/spark/pull/13394#discussion_r66719192
--- Diff: R/pkg/R/DataFrame.R ---
@@ -2766,18 +2780,21 @@ setMethod("histogram",
return(histStats)
})
Github user vectorijk commented on a diff in the pull request:
https://github.com/apache/spark/pull/13394#discussion_r66718939
--- Diff: R/pkg/R/DataFrame.R ---
@@ -2766,18 +2780,21 @@ setMethod("histogram",
return(histStats)
})
Github user vectorijk commented on a diff in the pull request:
https://github.com/apache/spark/pull/13394#discussion_r66718189
--- Diff: R/pkg/R/mllib.R ---
@@ -197,11 +197,10 @@ print.summary.GeneralizedLinearRegressionModel <-
function(x, ...) {
invisibl
Github user vectorijk commented on a diff in the pull request:
https://github.com/apache/spark/pull/13394#discussion_r65849144
--- Diff: R/pkg/R/DataFrame.R ---
@@ -628,8 +628,6 @@ setMethod("repartition",
#'
#' @param x A SparkDataFrame
#'
Github user vectorijk commented on the issue:
https://github.com/apache/spark/pull/13488
Thanks
On Sun, Jun 5, 2016, 13:05 asfgit wrote:
> Closed #13488 <https://github.com/apache/spark/pull/13488> via 8a91105
>
<https://github.com/apac
Github user vectorijk commented on the issue:
https://github.com/apache/spark/pull/13248
@praveendareddy21 For generating documentation for this API correctly, you
could include this in `spark/python/docs/pyspark.ml.rst`
```
pyspark.ml.stat module
Github user vectorijk commented on a diff in the pull request:
https://github.com/apache/spark/pull/13248#discussion_r65798896
--- Diff: python/pyspark/ml/stat/distribution.py ---
@@ -0,0 +1,267 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
Github user vectorijk commented on a diff in the pull request:
https://github.com/apache/spark/pull/13248#discussion_r65798890
--- Diff: python/pyspark/ml/stat/distribution.py ---
@@ -0,0 +1,267 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
Github user vectorijk commented on a diff in the pull request:
https://github.com/apache/spark/pull/13394#discussion_r65691008
--- Diff: R/pkg/R/DataFrame.R ---
@@ -1069,6 +1079,8 @@ setMethod("first",
#'
#' @param x A SparkDataFrame
#'
+
Github user vectorijk commented on the issue:
https://github.com/apache/spark/pull/13488
cc @jkbradley @shivaram @felixcheung
result you could see
[here](https://github.com/vectorijk/spark/tree/R-Readme/R)
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GitHub user vectorijk opened a pull request:
https://github.com/apache/spark/pull/13488
[MINOR][R][DOC] Fix R documentation generation instruction.
## What changes were proposed in this pull request?
changes in R/README.md
- Make step of generating SparkR document more
Github user vectorijk commented on a diff in the pull request:
https://github.com/apache/spark/pull/13394#discussion_r65418448
--- Diff: R/pkg/R/DataFrame.R ---
@@ -2514,7 +2529,9 @@ setMethod("attach",
#' environment. Then, the given expression is evalua
Github user vectorijk commented on a diff in the pull request:
https://github.com/apache/spark/pull/13394#discussion_r65284357
--- Diff: R/pkg/R/DataFrame.R ---
@@ -2514,7 +2529,9 @@ setMethod("attach",
#' environment. Then, the given expression is evalua
Github user vectorijk commented on the pull request:
https://github.com/apache/spark/pull/13023
Suggested by this
[comment](https://github.com/apache/spark/pull/13394#issuecomment-222560187), I
was wondering if we also need to update the docs for k-means and naive bayes in
[http
Github user vectorijk commented on the pull request:
https://github.com/apache/spark/pull/13394
@shivaram For updating the programming guide, I'd love to do this in a
separate PR.
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Github user vectorijk commented on a diff in the pull request:
https://github.com/apache/spark/pull/13394#discussion_r65163283
--- Diff: R/pkg/R/stats.R ---
@@ -19,12 +19,11 @@
setOldClass("jobj")
-#' crosstab
-#'
#' Compu
Github user vectorijk commented on a diff in the pull request:
https://github.com/apache/spark/pull/13394#discussion_r65162041
--- Diff: R/pkg/R/DataFrame.R ---
@@ -1069,7 +1080,10 @@ setMethod("first",
#'
#' @param x A SparkDataFrame
#'
Github user vectorijk commented on the pull request:
https://github.com/apache/spark/pull/13394#issuecomment-222385824
Jenkins test this please
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Github user vectorijk commented on the pull request:
https://github.com/apache/spark/pull/13394#issuecomment-222378580
Jenkins test this again please.
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Github user vectorijk commented on the pull request:
https://github.com/apache/spark/pull/13394#issuecomment-222354451
cc @felixcheung @shivaram @sun-rui
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GitHub user vectorijk opened a pull request:
https://github.com/apache/spark/pull/13394
[SPARK-15490][R][DOC] SparkR 2.0 QA: New R APIs and API docs for non-MLib
changes
## What changes were proposed in this pull request?
R Docs changes
include typos, format, layout
Github user vectorijk commented on the pull request:
https://github.com/apache/spark/pull/13284#issuecomment-221486634
> @shivaram I will make the change with R version check.
@wangmiao1981 FYI, I have switched to R 3.1.3 before on Mac. It seems fail
too. Do you mind
Github user vectorijk commented on the pull request:
https://github.com/apache/spark/pull/13284#issuecomment-221485421
We may also investigate why unit test run differently on Jenkins and local.
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Github user vectorijk commented on the pull request:
https://github.com/apache/spark/pull/9311#issuecomment-221444959
@bharath-official I don't think it's really necessary because it was
changed in Spark 2.0
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Github user vectorijk commented on the pull request:
https://github.com/apache/spark/pull/9311#issuecomment-221440730
@bharath-official You're right.
Aha. Like you said, it should work fine if this warning message just shows
during the process of calling model.
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Github user vectorijk commented on the pull request:
https://github.com/apache/spark/pull/9311#issuecomment-221437455
@bharath-official Try to use coefficients instead. This is warning
information. Did you get error message?
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Github user vectorijk commented on the pull request:
https://github.com/apache/spark/pull/12913#issuecomment-217031852
@techaddict According to
[this](https://github.com/EsotericSoftware/kryo#-disclaimer-about-using-unsafe-based-io-),
I am just wondering what will happen when Unsafe
Github user vectorijk commented on a diff in the pull request:
https://github.com/apache/spark/pull/12767#discussion_r61508511
--- Diff: python/pyspark/ml/tests.py ---
@@ -586,10 +589,13 @@ def test_fit_maximize_metric(self):
tvsModel = tvs.fit(dataset
Github user vectorijk commented on a diff in the pull request:
https://github.com/apache/spark/pull/12767#discussion_r61508260
--- Diff: python/pyspark/ml/tests.py ---
@@ -616,6 +622,7 @@ def test_save_load(self):
tvsModel.save(tvsModelPath)
loadedModel
Github user vectorijk commented on a diff in the pull request:
https://github.com/apache/spark/pull/12767#discussion_r61507716
--- Diff: python/pyspark/ml/tuning.py ---
@@ -613,7 +615,9 @@ def copy(self, extra=None):
"""
i
Github user vectorijk commented on a diff in the pull request:
https://github.com/apache/spark/pull/12464#discussion_r61491169
--- Diff: python/pyspark/ml/tests.py ---
@@ -461,6 +461,31 @@ def _fit(self, dataset):
class CrossValidatorTests(PySparkTestCase
Github user vectorijk commented on the pull request:
https://github.com/apache/spark/pull/12464#issuecomment-215067357
I also notice that `validationMetrics` in `TrainValidationSplitModel`
should also be supported in Python.
Should we support that after this PR?
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Github user vectorijk commented on the pull request:
https://github.com/apache/spark/pull/12464#issuecomment-215065890
@jkbradley 25959e5 this commit is trying to
- update `metrics` in `CrossValidator` to float list (like [0.0] * number) .
- use
Github user vectorijk commented on a diff in the pull request:
https://github.com/apache/spark/pull/12464#discussion_r61247126
--- Diff: python/pyspark/ml/tests.py ---
@@ -534,6 +534,8 @@ def test_save_load(self):
cvModel.save(cvModelPath)
loadedModel
Github user vectorijk commented on a diff in the pull request:
https://github.com/apache/spark/pull/12464#discussion_r60221706
--- Diff: python/pyspark/ml/tuning.py ---
@@ -367,7 +368,9 @@ def copy(self, extra=None):
"""
i
Github user vectorijk commented on the pull request:
https://github.com/apache/spark/pull/12464#issuecomment-211210916
Jenkins, test this please.
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Github user vectorijk commented on the pull request:
https://github.com/apache/spark/pull/12464#issuecomment-211205576
cc @feynmanliang @jkbradley @mengxr
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GitHub user vectorijk opened a pull request:
https://github.com/apache/spark/pull/12464
[SPARK-12810][PySpark] PySpark CrossValidatorModel should support avgMetrics
## What changes were proposed in this pull request?
support avgMetrics in CrossValidatorModel with Python
Github user vectorijk commented on the pull request:
https://github.com/apache/spark/pull/11468#issuecomment-208559614
@jkbradley I have addressed all the comments. Could you review this again?
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Github user vectorijk commented on the pull request:
https://github.com/apache/spark/pull/11468#issuecomment-207689752
@yanboliang Thanks! I have addressed your comments.
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Github user vectorijk commented on the pull request:
https://github.com/apache/spark/pull/12238#issuecomment-207639513
Thanks! @holdenk @jkbradley @yanboliang
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Github user vectorijk commented on a diff in the pull request:
https://github.com/apache/spark/pull/11468#discussion_r59099605
--- Diff: python/pyspark/ml/regression.py ---
@@ -934,6 +935,146 @@ def predict(self, features):
return self._call_java("predict"
Github user vectorijk commented on the pull request:
https://github.com/apache/spark/pull/12238#issuecomment-206906967
cc @jkbradley @mengxr @yanboliang It is ready for the review.
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GitHub user vectorijk opened a pull request:
https://github.com/apache/spark/pull/12238
[SPARK-14373] [PySpark] PySpark RandomForestClassifier, Regressor support
export/import
## What changes were proposed in this pull request?
supporting `RandomForest{Classifier, Regressor
Github user vectorijk commented on a diff in the pull request:
https://github.com/apache/spark/pull/11468#discussion_r58511272
--- Diff: python/pyspark/ml/regression.py ---
@@ -934,6 +935,146 @@ def predict(self, features):
return self._call_java("predict"
Github user vectorijk commented on the pull request:
https://github.com/apache/spark/pull/11468#issuecomment-205730049
Jenkins, retest this please.
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Github user vectorijk closed the pull request at:
https://github.com/apache/spark/pull/10489
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Github user vectorijk commented on the pull request:
https://github.com/apache/spark/pull/10489#issuecomment-204528226
I will close this PR at this time. If needed, I might re-open this.
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Github user vectorijk commented on the pull request:
https://github.com/apache/spark/pull/11468#issuecomment-204452107
Sorry about late response. Yes, i will catch this today.
On Fri, Apr 1, 2016, 09:02 Yanbo Liang wrote:
> @vectorijk <https://github.com/vec
Github user vectorijk commented on a diff in the pull request:
https://github.com/apache/spark/pull/11468#discussion_r54834301
--- Diff: python/pyspark/ml/regression.py ---
@@ -857,6 +858,146 @@ def predict(self, features):
return self._call_java("predict"
Github user vectorijk commented on the pull request:
https://github.com/apache/spark/pull/11468#issuecomment-191228337
cc @mengxr @yanboliang
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GitHub user vectorijk opened a pull request:
https://github.com/apache/spark/pull/11468
[SPARK-13597][PySpark][ML] Python API for GeneralizedLinearRegression
## What changes were proposed in this pull request?
Python API for GeneralizedLinearRegression
JIRA: https
Github user vectorijk commented on the pull request:
https://github.com/apache/spark/pull/11321#issuecomment-188658913
@mengxr, Thanks for replying!
Definitely, I will post a rough draft proposal on JIRA later.
On Wed, Feb 24, 2016 at 11:31 PM, Xiangrui Meng
Github user vectorijk commented on a diff in the pull request:
https://github.com/apache/spark/pull/11321#discussion_r53924161
--- Diff: python/pyspark/mllib/fpm.py ---
@@ -40,6 +41,11 @@ class FPGrowthModel(JavaModelWrapper):
>>> model = FPGrowth.train(rd
Github user vectorijk commented on the pull request:
https://github.com/apache/spark/pull/11321#issuecomment-188006126
@mengxr Thanks, I didn't notice that. Addressed comment.
Also, I take a look at 9ca79c1 and it only moved cleanup temp file code for
doctest under ml dire
GitHub user vectorijk opened a pull request:
https://github.com/apache/spark/pull/11321
[SPARK-7106][MLlib][PySpark] Support model save/load in Python's FPGrowth
## What changes were proposed in this pull request?
Python API supports mode save/load in FPGrowth
Github user vectorijk commented on the pull request:
https://github.com/apache/spark/pull/11321#issuecomment-187676196
cc @mengxr @yanboliang Could you take a look at this?
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Github user vectorijk commented on the pull request:
https://github.com/apache/spark/pull/11044#issuecomment-187588613
_off-topic_
Hi Spark Devs!
I was wondering if Spark community would be interested in mentoring
students for Google Summer of Code(GSoC) under Apache
Github user vectorijk commented on the pull request:
https://github.com/apache/spark/pull/10527#issuecomment-186738840
Thanks so much for suggestion! I will open a new PR for update.
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Github user vectorijk commented on the pull request:
https://github.com/apache/spark/pull/10527#issuecomment-186523636
Ok, Sure. I will do.
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Github user vectorijk commented on a diff in the pull request:
https://github.com/apache/spark/pull/10527#discussion_r53545904
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/functions.scala ---
@@ -1931,6 +1931,42 @@ object functions extends LegacyFunctions {
new
Github user vectorijk commented on a diff in the pull request:
https://github.com/apache/spark/pull/10527#discussion_r53442582
--- Diff:
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/MiscFunctionsSuite.scala
---
@@ -132,4 +132,88 @@ class
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