Github user GayathriMurali closed the pull request at:
https://github.com/apache/spark/pull/14112
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Github user GayathriMurali commented on the issue:
https://github.com/apache/spark/pull/14112
@jkbradley Sure! Thanks.
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Github user GayathriMurali commented on the issue:
https://github.com/apache/spark/pull/14112
@jkbradley I am so sorry I couldn't respond to this on time! I am in a
transition process and might not be able to drive this JIRA to completion at
this point in time. Thanks!
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Github user GayathriMurali commented on the issue:
https://github.com/apache/spark/pull/14112
@jkbradley Can you please help review this?
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Github user GayathriMurali commented on the issue:
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@jkbradley Please let me know if I can do anything to help get this merged
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Github user GayathriMurali commented on the issue:
https://github.com/apache/spark/pull/14112
@jkbradley Can you please help review this?
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Github user GayathriMurali commented on a diff in the pull request:
https://github.com/apache/spark/pull/14112#discussion_r71172720
--- Diff: mllib/src/main/scala/org/apache/spark/ml/clustering/LDA.scala ---
@@ -728,16 +755,40 @@ object DistributedLDAModel extends
MLReadable
Github user GayathriMurali commented on the issue:
https://github.com/apache/spark/pull/14112
@jkbradley I implemented model loading logic for DistributedLDA as well. I
am using a versionRegex for robustness in version checking. Using
`as[Data].head()` is producing a scala match
Github user GayathriMurali commented on a diff in the pull request:
https://github.com/apache/spark/pull/14112#discussion_r70749752
--- Diff: mllib/src/main/scala/org/apache/spark/ml/clustering/LDA.scala ---
@@ -566,26 +565,52 @@ object LocalLDAModel extends
MLReadable
Github user GayathriMurali commented on the issue:
https://github.com/apache/spark/pull/14112
@jkbradley I am sorry, I have been held up with something else. I am
looking on ways to add this to DistribtedLDA model. I will have something by
EOD today.
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Github user GayathriMurali commented on the issue:
https://github.com/apache/spark/pull/14112
+1 for separate loading logic. The recent commit includes separate code
paths depending on sparkVersion
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Github user GayathriMurali commented on the issue:
https://github.com/apache/spark/pull/14112
@hhbyyh Thanks for helping out. Updated commit includes logic to include
topicDistributionCol @yanboliang
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Github user GayathriMurali commented on the issue:
https://github.com/apache/spark/pull/14112
retest this
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Github user GayathriMurali commented on the issue:
https://github.com/apache/spark/pull/14112
@hhbyyh Can you please help review? I am not sure if this is the right way
to do it, as topicDistributionCol is not included in the MLWriter or load.
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GitHub user GayathriMurali opened a pull request:
https://github.com/apache/spark/pull/14112
[SPARK-16240][ML] Model loading backward compatibility for LDA
## What changes were proposed in this pull request?
LDA model loading backward compatibility
## How was this patch
Github user GayathriMurali commented on a diff in the pull request:
https://github.com/apache/spark/pull/13745#discussion_r68245367
--- Diff: examples/src/main/python/ml/quantile_discretizer_example.py ---
@@ -29,11 +29,12 @@
# $example on$
data = [(0, 18.0,), (1
Github user GayathriMurali commented on the issue:
https://github.com/apache/spark/pull/13745
Oops! That works.
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Github user GayathriMurali commented on the issue:
https://github.com/apache/spark/pull/13745
@jkbradley Yes, that works
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Github user GayathriMurali commented on the issue:
https://github.com/apache/spark/pull/13176
@jkbradley @MLnick My bad. Sorry about that!
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Github user GayathriMurali commented on the issue:
https://github.com/apache/spark/pull/13745
@jkbradley @MLnick `repartition` needs to be added along with the creation
of the dataframe like this.
`val df = spark.createDataFrame(data).toDF("id","hour").repar
Github user GayathriMurali commented on a diff in the pull request:
https://github.com/apache/spark/pull/12675#discussion_r67954415
--- Diff: python/pyspark/ml/tests.py ---
@@ -1070,6 +1070,21 @@ def test_logistic_regression_summary(self):
sameSummary = model.evaluate
Github user GayathriMurali commented on the issue:
https://github.com/apache/spark/pull/12675
@MLnick It would be great if you can help review this.
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Github user GayathriMurali commented on the issue:
https://github.com/apache/spark/pull/13745
@jkbradley @MLnick I agree with repartition idea. Although I think that it
may not be a bad idea to call out that approxquantile calcultion for smaller
datasets may be different on different
Github user GayathriMurali commented on the issue:
https://github.com/apache/spark/pull/13176
@MLnick I opened PR #13745 to track this as @jkbradley suggested. This JIRA
is only doing partial list of Audit ml.feature. Please help review SPARK-15597.
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GitHub user GayathriMurali opened a pull request:
https://github.com/apache/spark/pull/13745
[Spark 15997][DOC][ML] Update user guide for HashingTF, QuantileVectorizer
and CountVectorizer
## What changes were proposed in this pull request?
Made changes to HashingTF
Github user GayathriMurali closed the pull request at:
https://github.com/apache/spark/pull/13176
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Github user GayathriMurali commented on the issue:
https://github.com/apache/spark/pull/13176
@jkbradley @MLnick I have created SPARK-15997 to track the changes
addressed in this PR.
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Github user GayathriMurali commented on the issue:
https://github.com/apache/spark/pull/13176
@jkbradley I just tried this.
https://cloud.githubusercontent.com/assets/7002441/16128207/94f835ea-33b4-11e6-9866-369672b7bdae.png;>
and getting this output which is the s
Github user GayathriMurali commented on the issue:
https://github.com/apache/spark/pull/13285
@jkbradley I fixed for the review comment. Please let me know if there is
anything else. Thanks!
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Github user GayathriMurali commented on the issue:
https://github.com/apache/spark/pull/13176
@jkbradley the different results was due to the difference in underlying
core count(thread count). @MLnick and I were able to get the same results for
`local[4]`. We could explicitly
Github user GayathriMurali commented on the issue:
https://github.com/apache/spark/pull/12675
@jkbradley This PR has been open >30days. Can you please help review?
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Github user GayathriMurali commented on the issue:
https://github.com/apache/spark/pull/13285
@yanboliang Please let me know if there is anything else I can do to help
get this merged.Thanks!
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Github user GayathriMurali commented on the issue:
https://github.com/apache/spark/pull/13176
@MLnick Please let me know if there is anything else I can do to help get
this merged.Thanks!
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Github user GayathriMurali commented on the issue:
https://github.com/apache/spark/pull/12675
@jkbradley @holdenk Can you please help review?
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Github user GayathriMurali commented on the issue:
https://github.com/apache/spark/pull/13285
@yanboliang Please let me know if there is anything else I can do to get
this merged.
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Github user GayathriMurali commented on a diff in the pull request:
https://github.com/apache/spark/pull/13176#discussion_r66011880
--- Diff: docs/ml-features.md ---
@@ -1092,14 +1095,11 @@ for more details on the API.
## QuantileDiscretizer
`QuantileDiscretizer
Github user GayathriMurali commented on a diff in the pull request:
https://github.com/apache/spark/pull/13176#discussion_r65790125
--- Diff: docs/ml-features.md ---
@@ -1092,14 +1095,11 @@ for more details on the API.
## QuantileDiscretizer
`QuantileDiscretizer
Github user GayathriMurali commented on the issue:
https://github.com/apache/spark/pull/13176
@MLnick I agree. Should I make those changes in this same PR?
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Github user GayathriMurali commented on the issue:
https://github.com/apache/spark/pull/13176
@MLnick Please let me know if there is anything else that I can help with
this PR
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Github user GayathriMurali commented on the issue:
https://github.com/apache/spark/pull/13285
Also, #10219 uses include_example with different files , which is not the
case here. @mengxr We need support for tags with include_example, or we need to
reformat ml.R( or split every
Github user GayathriMurali commented on the issue:
https://github.com/apache/spark/pull/13285
@yanboliang `$example on$` and `$example off$` needs to be included in
ml.R. All the code encompassed within example on and off would be joined and a
single code block will be produced
Github user GayathriMurali commented on the pull request:
https://github.com/apache/spark/pull/13176
@MLnick +1 for making the change in the example as well. Calling out
difference in result due to parallelism might be little confusing in this
document.
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Github user GayathriMurali commented on the pull request:
https://github.com/apache/spark/pull/13176
I just tried with `--master local[8]` and I get the same results as you do.
Should I call this out in the example?
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Github user GayathriMurali commented on the pull request:
https://github.com/apache/spark/pull/13176
I just did. It is local[4]
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Github user GayathriMurali commented on the pull request:
https://github.com/apache/spark/pull/13176
@MLnick I am using local. I havent explicitly setup thread count.
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Github user GayathriMurali commented on the pull request:
https://github.com/apache/spark/pull/13176
On Mac. Scala version 2.11.8 (Java HotSpot(TM) 64-Bit Server VM, Java
1.8.0_73). I checked again and I consistently get the same output on master.
@MLnick Please let me know how you
Github user GayathriMurali commented on the pull request:
https://github.com/apache/spark/pull/13176
@BryanCutler @oliverpierson Looks like something is wrong on my side. I
just checked again on a fresh build and got the same results. Will dig deeper.
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Github user GayathriMurali commented on the pull request:
https://github.com/apache/spark/pull/13176
I get this : Array[Double] = Array(5.0, 8.0)
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Github user GayathriMurali commented on the pull request:
https://github.com/apache/spark/pull/13176
@MLnick @oliverpierson I checked again with a clean build off master. Here
is the hash : 2bfc4f15214a870b3e067f06f37eb506b0070a1f. Here is what I see
https
Github user GayathriMurali commented on a diff in the pull request:
https://github.com/apache/spark/pull/13176#discussion_r65223909
--- Diff: docs/ml-features.md ---
@@ -145,9 +148,11 @@ for more details on the API.
passed to other algorithms like LDA.
During
Github user GayathriMurali commented on the pull request:
https://github.com/apache/spark/pull/13285
@yanboliang I have included ml.r using include-example, wouldn't that cover
all the examples?
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Github user GayathriMurali commented on a diff in the pull request:
https://github.com/apache/spark/pull/13285#discussion_r65221434
--- Diff: docs/sparkr.md ---
@@ -285,71 +285,57 @@ head(teenagers)
# Machine Learning
-SparkR allows the fitting of generalized
Github user GayathriMurali commented on the pull request:
https://github.com/apache/spark/pull/13176#issuecomment-222409058
@MLnick Please let me know if there is anything else that I can help with
this PR
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Github user GayathriMurali commented on a diff in the pull request:
https://github.com/apache/spark/pull/13176#discussion_r64799207
--- Diff: docs/ml-features.md ---
@@ -145,9 +148,11 @@ for more details on the API.
passed to other algorithms like LDA.
During
Github user GayathriMurali commented on the pull request:
https://github.com/apache/spark/pull/13285#issuecomment-221954150
@yanboliang Can you please help review?
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Github user GayathriMurali commented on the pull request:
https://github.com/apache/spark/pull/13285#issuecomment-221764817
@yanboliang Thanks, thats a good idea. However, that would just include
example code and not how the output of summary() looks like. It might be useful
Github user GayathriMurali commented on a diff in the pull request:
https://github.com/apache/spark/pull/13176#discussion_r64683245
--- Diff: docs/ml-features.md ---
@@ -53,7 +53,10 @@ collisions, where different raw features may become the
same term after hashing.
chance
Github user GayathriMurali commented on the pull request:
https://github.com/apache/spark/pull/13285#issuecomment-221428716
@jkbradley @MLnick I have marked this WIP, as I want to get your thoughts
on if you think the format looks ok. I can add examples to KMeans and SurvReg
GitHub user GayathriMurali opened a pull request:
https://github.com/apache/spark/pull/13285
[Spark 15129][R][DOC][WIP]R API changes in ML
## What changes were proposed in this pull request?
Make user guide changes to SparkR documentation for all changes that
happened
Github user GayathriMurali commented on a diff in the pull request:
https://github.com/apache/spark/pull/13176#discussion_r64476690
--- Diff: docs/ml-features.md ---
@@ -1098,9 +1098,9 @@ for more details on the API.
`QuantileDiscretizer` takes a column with continuous
Github user GayathriMurali commented on the pull request:
https://github.com/apache/spark/pull/13176#issuecomment-221020100
@MLnick I fixed all review comments. Can you please let me know if there is
anything else to be done to help get this merged?
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Github user GayathriMurali commented on the pull request:
https://github.com/apache/spark/pull/13176#issuecomment-220723548
@MLnick The latest commit includes just the ml-feature.md changes. I
removed all the other example files and feature.py.
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Github user GayathriMurali commented on a diff in the pull request:
https://github.com/apache/spark/pull/13176#discussion_r64101972
--- Diff: docs/ml-features.md ---
@@ -1093,13 +,10 @@ for more details on the API.
`QuantileDiscretizer` takes a column with continuous
Github user GayathriMurali commented on the pull request:
https://github.com/apache/spark/pull/13176#issuecomment-220698824
Something messed up the `git push`. I will send another commit
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Github user GayathriMurali commented on a diff in the pull request:
https://github.com/apache/spark/pull/13176#discussion_r64087912
--- Diff: docs/ml-features.md ---
@@ -26,7 +26,9 @@ This section covers algorithms for working with features,
roughly divided into t
Github user GayathriMurali commented on a diff in the pull request:
https://github.com/apache/spark/pull/13176#discussion_r64079147
--- Diff: docs/ml-features.md ---
@@ -114,7 +116,10 @@ for more details on the API.
During the fitting process, `CountVectorizer` will select
Github user GayathriMurali commented on a diff in the pull request:
https://github.com/apache/spark/pull/13176#discussion_r64078981
--- Diff: docs/ml-features.md ---
@@ -26,7 +26,9 @@ This section covers algorithms for working with features,
roughly divided into t
Github user GayathriMurali commented on a diff in the pull request:
https://github.com/apache/spark/pull/13176#discussion_r64075252
--- Diff: docs/ml-features.md ---
@@ -1064,7 +1069,8 @@ categorical features.
The bin ranges are chosen by taking a sample of the data
Github user GayathriMurali commented on a diff in the pull request:
https://github.com/apache/spark/pull/13176#discussion_r64073253
--- Diff:
examples/src/main/java/org/apache/spark/examples/ml/JavaCountVectorizerExample.java
---
@@ -54,6 +54,7 @@ public static void main(String
Github user GayathriMurali commented on the pull request:
https://github.com/apache/spark/pull/13176#issuecomment-220513197
@hhbyyh Can you please help review this? I will resolve the branch conflict
along with review comments
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GitHub user GayathriMurali opened a pull request:
https://github.com/apache/spark/pull/13176
[SPARK-15100][DOC] Modified user guide and examples for CountVectorizâ¦
## What changes were proposed in this pull request?
This is partial document changes to ml.feature. Made
Github user GayathriMurali commented on the pull request:
https://github.com/apache/spark/pull/12675#issuecomment-218664815
@holdenk I checked the ScalaDoc and removed the evaluate method. Thanks for
pointing it out. Can you please help review
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Github user GayathriMurali commented on the pull request:
https://github.com/apache/spark/pull/12675#issuecomment-217318560
@holdenk I fixed the pydoc style issue. Can you please help review this?
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Github user GayathriMurali commented on the pull request:
https://github.com/apache/spark/pull/12675#issuecomment-215529653
@jkbradley Can you please ok to test this
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Github user GayathriMurali commented on a diff in the pull request:
https://github.com/apache/spark/pull/12683#discussion_r61481184
--- Diff: R/pkg/inst/tests/testthat/test_mllib.R ---
@@ -71,7 +71,25 @@ test_that("glm and predict", {
data = iris, family
Github user GayathriMurali commented on a diff in the pull request:
https://github.com/apache/spark/pull/12683#discussion_r61370053
--- Diff: R/pkg/R/mllib.R ---
@@ -406,6 +432,8 @@ ml.load <- function(path) {
jobj <- callJStatic("org.apache.spark.ml.r.RWrapp
GitHub user GayathriMurali opened a pull request:
https://github.com/apache/spark/pull/12683
[SPARK-14315][SparkR]Add model persistence to GLMs
## What changes were proposed in this pull request?
Add model persistence to GLMs in SparkR
Unit tests added
GitHub user GayathriMurali opened a pull request:
https://github.com/apache/spark/pull/12680
[Spark-14314][SparkR] Add model persistence to KMeans
## What changes were proposed in this pull request?
Add model persistence to KMeans SparkR
## How was this patch
Github user GayathriMurali commented on the pull request:
https://github.com/apache/spark/pull/12675#issuecomment-214569241
@wangmiao1981 @jkbradley Please help review this PR
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GitHub user GayathriMurali opened a pull request:
https://github.com/apache/spark/pull/12675
[SPARK-14894][PySpark] Add result summary api to Gaussian Mixture
## What changes were proposed in this pull request?
Add summary API to Gaussian Mixture
## How
Github user GayathriMurali commented on the pull request:
https://github.com/apache/spark/pull/12670#issuecomment-214565229
I am closing this PR as a file got added by mistake. Will open a new one.
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Github user GayathriMurali closed the pull request at:
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GitHub user GayathriMurali opened a pull request:
https://github.com/apache/spark/pull/12670
[SPARK-14894][Pyspark] Add result summary API to Gaussian Mixture
## What changes were proposed in this pull request?
Add summary API to Gaussian Mixture in Pyspark
## How
Github user GayathriMurali commented on a diff in the pull request:
https://github.com/apache/spark/pull/12230#discussion_r59054623
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/GBTClassifier.scala ---
@@ -257,12 +240,61 @@ final class GBTClassificationModel
Github user GayathriMurali commented on the pull request:
https://github.com/apache/spark/pull/12230#issuecomment-207051757
@yanboliang I did a quick first pass. I have some initial comments. Will
stay tuned for updates. Thanks!
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Github user GayathriMurali commented on a diff in the pull request:
https://github.com/apache/spark/pull/12230#discussion_r58926273
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/GBTClassifier.scala ---
@@ -257,12 +240,61 @@ final class GBTClassificationModel
Github user GayathriMurali commented on a diff in the pull request:
https://github.com/apache/spark/pull/12230#discussion_r58926192
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/GBTClassifier.scala ---
@@ -257,12 +240,61 @@ final class GBTClassificationModel
Github user GayathriMurali commented on a diff in the pull request:
https://github.com/apache/spark/pull/12230#discussion_r58925984
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/GBTClassifier.scala ---
@@ -257,12 +240,61 @@ final class GBTClassificationModel
Github user GayathriMurali commented on a diff in the pull request:
https://github.com/apache/spark/pull/12230#discussion_r58925589
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/GBTClassifier.scala ---
@@ -257,12 +240,61 @@ final class GBTClassificationModel
Github user GayathriMurali commented on the pull request:
https://github.com/apache/spark/pull/12118#issuecomment-204635416
@jkbradley Thanks for this. This looks great and clarifies a lot of things
I was trying to do. I had one minor comment, except that it looks fine to me
Github user GayathriMurali commented on a diff in the pull request:
https://github.com/apache/spark/pull/12118#discussion_r58287249
--- Diff: mllib/src/main/scala/org/apache/spark/ml/tree/treeModels.scala ---
@@ -358,3 +376,100 @@ private[ml] object DecisionTreeModelReadWrite
Github user GayathriMurali closed the pull request at:
https://github.com/apache/spark/pull/12023
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Github user GayathriMurali commented on the pull request:
https://github.com/apache/spark/pull/12023#issuecomment-204576825
@jkbradley I was just about to ping you regarding this. I would definitely
love to help out. I was out at Strata all week and couldn't get to this. Please
let
Github user GayathriMurali commented on the pull request:
https://github.com/apache/spark/pull/12023#issuecomment-203763228
@jkbradley I am sorry, I am afraid I will not be able to complete tonight.
Can you please help me with reusing Splitdata/build code from DecisionTrees
Github user GayathriMurali commented on a diff in the pull request:
https://github.com/apache/spark/pull/12023#discussion_r57993953
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/regression/RandomForestRegressor.scala
---
@@ -199,21 +210,71 @@ final class
Github user GayathriMurali commented on a diff in the pull request:
https://github.com/apache/spark/pull/12023#discussion_r57968732
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/RandomForestClassifier.scala
---
@@ -240,12 +250,66 @@ final class
Github user GayathriMurali commented on the pull request:
https://github.com/apache/spark/pull/12023#issuecomment-203645597
@jkbradley I should be able to update this by tonight. Would that work?
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Github user GayathriMurali commented on a diff in the pull request:
https://github.com/apache/spark/pull/12023#discussion_r57787829
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/RandomForestClassifier.scala
---
@@ -240,12 +250,66 @@ final class
Github user GayathriMurali commented on the pull request:
https://github.com/apache/spark/pull/12023#issuecomment-202671126
@yanboliang @jkbradley Please help review the code.
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GitHub user GayathriMurali opened a pull request:
https://github.com/apache/spark/pull/12023
[Spark 13784][ML][WIP] Model export/import for spark.ml: RandomForests
Please help review the code. I have the WIP included to make sure the
changes look correct.
## What changes
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