GitHub user wangmiao1981 opened a pull request:
https://github.com/apache/spark/pull/17478
[SPARK-18901][ML]:Require in LR LogisticAggregator is redundant
## What changes were proposed in this pull request?
In MultivariateOnlineSummarizer,
`add` and `merge` have
GitHub user wangmiao1981 opened a pull request:
https://github.com/apache/spark/pull/17474
[Minor][SparkR]: Add run command comment in examples
## What changes were proposed in this pull request?
There are two examples in r folder missing the run commands
Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/15770
gentle ping @jkbradley @yanboliang @thunterdb
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Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/17170#discussion_r106587332
--- Diff: R/pkg/R/mllib_fpm.R ---
@@ -0,0 +1,152 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor
Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/17170#discussion_r106587261
--- Diff: R/pkg/R/mllib_fpm.R ---
@@ -0,0 +1,152 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor
Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/17170#discussion_r106587357
--- Diff: R/pkg/R/mllib_fpm.R ---
@@ -0,0 +1,152 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor
Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/17170#discussion_r106587496
--- Diff: mllib/src/main/scala/org/apache/spark/ml/r/FPGrowthWrapper.scala
---
@@ -0,0 +1,87 @@
+/*
+ * Licensed to the Apache Software
Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/17170#discussion_r106587413
--- Diff: mllib/src/main/scala/org/apache/spark/ml/r/FPGrowthWrapper.scala
---
@@ -0,0 +1,87 @@
+/*
+ * Licensed to the Apache Software
Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/17170#discussion_r106587130
--- Diff: R/pkg/R/mllib_fpm.R ---
@@ -0,0 +1,152 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor
Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/17170#discussion_r106587054
--- Diff: R/pkg/R/mllib_fpm.R ---
@@ -0,0 +1,152 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor
Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/17170#discussion_r106587315
--- Diff: R/pkg/R/mllib_fpm.R ---
@@ -0,0 +1,152 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor
Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/17170#discussion_r106587292
--- Diff: R/pkg/R/mllib_fpm.R ---
@@ -0,0 +1,152 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor
Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/15770
@jkbradley can you take a look? Thanks!
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Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/15770
It passed at local. I will fix the issue.
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Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/15770
@jkbradley I changed the input data format by using (list of neighbor IDs,
list of weights), which are two columns of the input dataset. For the result, I
appended the predicted cluster ids
Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/16784
Resolved. Thanks!
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Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/15770
Update:
Sorry for the delay. I am working on some other items.
Now, I am using (node-id, list of neighbor IDs, list of weights) by adding
two additional columns.
I
Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/15770
Option 2 doesn't break our pipeline scheme which only appends the result
column to the input dataframe. Besides the discussions above, the graph is
undirected and the weight list will appear
Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/17032#discussion_r103535626
--- Diff: R/pkg/R/mllib_tree.R ---
@@ -143,14 +143,15 @@ print.summary.treeEnsemble <- function(x) {
#'
#' # fit a Gradient Boosted T
Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/16784
@jkbradley I simplified the test cases and modified the data generation API
using to toSparse method, which eliminates the index variable.
"Is this multivariate online summarizer
Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/16784
@jkbradley I simplified the tests and modified the data generation API by
using toSparse method, which eliminates the index variable.
"Is this multivariate online summarizer issue r
Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/17032
@felixcheung I have made the changes per our review discussion. Thanks!
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Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/15770
@jkbradley Thanks for your reply! I quickly go through your suggestions. If
I understand correctly, you prefer making it a `Transformer`, as we previously
discussed, but changing the input
Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/17032#discussion_r103004945
--- Diff: examples/src/main/r/ml/glm.R ---
@@ -25,12 +25,12 @@ library(SparkR)
sparkR.session(appName = "SparkR-ML-glm-ex
Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/17032#discussion_r102857809
--- Diff: R/pkg/vignettes/sparkr-vignettes.Rmd ---
@@ -565,11 +565,10 @@ We use a simple example to demonstrate `spark.logit`
usage. In general
Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/15770
@thunterdb @yanboliang Do we reach an agreement on whether to make it a
transformer or an estimator now?
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Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/17032#discussion_r102856602
--- Diff: examples/src/main/r/ml/kmeans.R ---
@@ -26,10 +26,12 @@ sparkR.session(appName = "SparkR-ML-kmeans-example")
Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/17032#discussion_r102823739
--- Diff: examples/src/main/r/ml/bisectingKmeans.R ---
@@ -25,20 +25,21 @@ library(SparkR)
sparkR.session(appName = "SparkR-ML-bisectingK
Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/17032#discussion_r102823636
--- Diff: examples/src/main/r/ml/glm.R ---
@@ -25,11 +25,12 @@ library(SparkR)
sparkR.session(appName = "SparkR-ML-glm-ex
Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/17032#discussion_r102802725
--- Diff: examples/src/main/r/ml/glm.R ---
@@ -25,11 +25,12 @@ library(SparkR)
sparkR.session(appName = "SparkR-ML-glm-ex
Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/17032#discussion_r102802291
--- Diff: R/pkg/R/mllib_tree.R ---
@@ -143,14 +143,15 @@ print.summary.treeEnsemble <- function(x) {
#'
#' # fit a Gradient Boosted T
Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/17032#discussion_r102801964
--- Diff: R/pkg/R/mllib_tree.R ---
@@ -143,14 +143,15 @@ print.summary.treeEnsemble <- function(x) {
#'
#' # fit a Gradient Boosted T
Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/17032#discussion_r102801930
--- Diff: R/pkg/vignettes/sparkr-vignettes.Rmd ---
@@ -565,11 +565,10 @@ We use a simple example to demonstrate `spark.logit`
usage. In general
Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/17032#discussion_r102801880
--- Diff: examples/src/main/r/ml/bisectingKmeans.R ---
@@ -25,20 +25,21 @@ library(SparkR)
sparkR.session(appName = "SparkR-ML-bisectingK
Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/17032
cc @felixcheung
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GitHub user wangmiao1981 opened a pull request:
https://github.com/apache/spark/pull/17032
[SPARK-19460][SparkR]:Update dataset used in R documentation, examples to
reduce warning noise and confusions
## What changes were proposed in this pull request?
Replace `iris
Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/15770
@thunterdb Per discussion with Yanbo, there is one concern of making it an
Estimator. For every `transform`, there is an additional data shuffle. cc
@yanboliang @jkbradley Thanks
Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/15770
I am checking ALS out to understand your suggestions. Thanks!
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Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/13440
@thunterdb Can you take a look? Thanks!
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Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/15770
Yanbo Liang added a comment - 02/Nov/16 09:30 - edited
I'm prefer to #1 and #3, but it looks like we can achieve both goals.
Graph can be represented by GraphX/GraphFrame
Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/15770
Joseph K. Bradley added a comment - 31/Oct/16 18:14
Miao Wang Sorry for the slow response here. I do want us to add PIC to
spark.ml, but we should discuss the design before the PR
Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/15770
@thunterdb Thanks for your response. In the original JIRA, we have
discussed why we want it to be a transformer. Let me find it and post it here.
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Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/15770#discussion_r102337526
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/clustering/PowerIterationClusteringSuite.scala
---
@@ -0,0 +1,153 @@
+/*
+ * Licensed
Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/15770#discussion_r102330772
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/clustering/PowerIterationClustering.scala
---
@@ -0,0 +1,182 @@
+/*
+ * Licensed
Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/15770#discussion_r102308292
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/clustering/PowerIterationClustering.scala
---
@@ -0,0 +1,182 @@
+/*
+ * Licensed
Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/16945
@felixcheung I have made suggested changes. Thanks!
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Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/15770#discussion_r101871069
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/clustering/PowerIterationClustering.scala
---
@@ -0,0 +1,182 @@
+/*
+ * Licensed
Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/15770#discussion_r101870770
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/clustering/PowerIterationClustering.scala
---
@@ -0,0 +1,182 @@
+/*
+ * Licensed
Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/16945
I add a test of weightCol for spark.logit.
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Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/15770
@thunterdb Thanks for your review! I will address the comments soon.
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GitHub user wangmiao1981 opened a pull request:
https://github.com/apache/spark/pull/16969
[SPARK-19639][SPARKR][Example]:Add spark.svmLinear example and update
vignettes
## What changes were proposed in this pull request?
We recently add the spark.svmLinear API for SparkR
Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/16945
I will add tests. Now I am looking for dataset other than iris to be used
in the document.
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Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/13440
@erikerlandson I am just helping clearing the stale PRs. :) I have no idea
whether they have intention to accept it.
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Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/13440
@erikerlandson Are you still working on this PR? Thanks! Miao
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Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/16945
cc @felixcheung
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GitHub user wangmiao1981 opened a pull request:
https://github.com/apache/spark/pull/16945
[SPARK-19616][SparkR]:weightCol and aggregationDepth should be improved for
some SparkR APIs
## What changes were proposed in this pull request?
This is a follow-up PR of #16800
Github user wangmiao1981 closed the pull request at:
https://github.com/apache/spark/pull/16761
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Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/16800
@felixcheung I will do the example and vignettes today. For the document, I
will wait for @hhbyyh to merge his main document first. Thanks!
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Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/12675
@HyukjinKwon @srowen This should be closed. Thanks!
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Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/12675
#15777 has resolved this issue. We should close this one.
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Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/16800#discussion_r101176046
--- Diff: R/pkg/R/mllib_classification.R ---
@@ -39,6 +46,131 @@ setClass("MultilayerPerceptronClassificationModel",
representation(jo
Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/16800#discussion_r101176118
--- Diff: R/pkg/R/generics.R ---
@@ -1380,6 +1380,10 @@ setGeneric("spark.kstest", function(data, ...) {
standardGeneric(&qu
Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/16800#discussion_r100976207
--- Diff: mllib/src/main/scala/org/apache/spark/ml/r/LinearSVCWrapper.scala
---
@@ -0,0 +1,149 @@
+/*
+ * Licensed to the Apache Software
Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/16800#discussion_r100976153
--- Diff: R/pkg/R/mllib_classification.R ---
@@ -39,6 +46,116 @@ setClass("MultilayerPerceptronClassificationModel",
representation(jo
Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/16800#discussion_r100929519
--- Diff: R/pkg/R/mllib_classification.R ---
@@ -39,6 +46,116 @@ setClass("MultilayerPerceptronClassificationModel",
representation(jo
Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/16800#discussion_r100710481
--- Diff: R/pkg/R/mllib_utils.R ---
@@ -35,7 +35,8 @@
#' @seealso \link{spark.als}, \link{spark.bisectingKmeans},
\link{spark.gaussianMixture
Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/16800#discussion_r100710453
--- Diff: mllib/src/main/scala/org/apache/spark/ml/r/LinearSVCWrapper.scala
---
@@ -0,0 +1,149 @@
+/*
+ * Licensed to the Apache Software
Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/16800#discussion_r100710403
--- Diff: R/pkg/R/mllib_classification.R ---
@@ -39,6 +46,116 @@ setClass("MultilayerPerceptronClassificationModel",
representation(jo
Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/16800#discussion_r100710369
--- Diff: R/pkg/R/mllib_classification.R ---
@@ -39,6 +46,116 @@ setClass("MultilayerPerceptronClassificationModel",
representation(jo
Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/16800#discussion_r100710345
--- Diff: R/pkg/R/mllib_classification.R ---
@@ -39,6 +46,116 @@ setClass("MultilayerPerceptronClassificationModel",
representation(jo
Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/16800#discussion_r100710324
--- Diff: R/pkg/R/mllib_classification.R ---
@@ -39,6 +46,116 @@ setClass("MultilayerPerceptronClassificationModel",
representation(jo
Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/16800
@felixcheung I have addressed the comments. cc @yanboliang @hhbyyh Thanks!
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Github user wangmiao1981 closed the pull request at:
https://github.com/apache/spark/pull/16800
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GitHub user wangmiao1981 reopened a pull request:
https://github.com/apache/spark/pull/16800
[SPARK-19456][SparkR]:Add LinearSVC R API
## What changes were proposed in this pull request?
Linear SVM classifier is newly added into ML and python API has been added.
This JIRA
Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/16800
Open to trigger
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Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/16800
close to trigger windows test
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Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/12675
@GayathriMurali If you are not able to proceed, I can take over. Thanks!
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Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/16800#discussion_r99755967
--- Diff: R/pkg/inst/tests/testthat/test_mllib_classification.R ---
@@ -27,6 +27,44 @@ absoluteSparkPath <- function(x) {
file.path(sparkHome
Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/16800#discussion_r99755912
--- Diff: mllib/src/main/scala/org/apache/spark/ml/r/LinearSVCWrapper.scala
---
@@ -0,0 +1,149 @@
+/*
+ * Licensed to the Apache Software
Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/16800#discussion_r99755781
--- Diff: R/pkg/R/generics.R ---
@@ -1376,6 +1376,10 @@ setGeneric("spark.kstest", function(data, ...) {
standardGeneric(&qu
Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/16800#discussion_r99474739
--- Diff: R/pkg/R/generics.R ---
@@ -1376,6 +1376,10 @@ setGeneric("spark.kstest", function(data, ...) {
standardGeneric(&qu
Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/16800
retest this please
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Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/16799
LGTM. Let us wait for Jenkins to build it.
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Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/16799
Jenkins, test this please.
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Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/16796
#16767 breaks the build. The issue was not caught by Jenkins, because the
last revision didn't trigger build. A hot fix is create #16799.
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Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/16767
Jenkins build was not triggered for the last revision. It breaks the build.
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Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/16799
Good catch! Thanks for fixing it!
@felixcheung This is a hot-fix to build break. I don't know why Jenkins
didn't catch it in the original PR.
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GitHub user wangmiao1981 opened a pull request:
https://github.com/apache/spark/pull/16800
[SPARK-19456][SparkR][WIP]:Add LinearSVC R API
## What changes were proposed in this pull request?
Linear SVM classifier is newly added into ML and python API has been added
Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/16794
still document failures.
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Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/16794
retest this please.
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Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/16794
try {r, warning=FALSE} for the warning cases?
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Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/16794
Warning in FUN(X[[1L]], ...) :
Use Sepal_Length instead of Sepal.Length as column name
Warning in FUN(X[[2L]], ...) :
Use Sepal_Width instead of Sepal.Width as column name
Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/16784
Jenkins, retest this please.
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Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/16784
retest this please
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Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/16784
Jenkins, retest this please.
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GitHub user wangmiao1981 opened a pull request:
https://github.com/apache/spark/pull/16784
[SPARK-19382][ML]:Test sparse vectors in LinearSVCSuite
## What changes were proposed in this pull request?
Add unit tests for testing SparseVector.
We can't add mixed
Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/16767
LGTM
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Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/16761
If we don't want to change the parameters in 2.1, it is not necessary to
port it back. It is because the bug occurs only if you use `random` mode with
specific `seed`. If we don't provide seed
Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/16767#discussion_r98973879
--- Diff: examples/src/main/r/ml/bisectingKmeans.R ---
@@ -0,0 +1,42 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/16767#discussion_r98974153
--- Diff: examples/src/main/r/ml/bisectingKmeans.R ---
@@ -0,0 +1,42 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
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