Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/16441#discussion_r95429690
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/GBTClassifier.scala ---
@@ -159,14 +157,21 @@ class GBTClassifier @Since("
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/16441#discussion_r95429802
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/GBTClassifier.scala ---
@@ -159,14 +157,21 @@ class GBTClassifier @Since("
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/16441#discussion_r95432804
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/GBTClassifier.scala ---
@@ -159,14 +157,21 @@ class GBTClassifier @Since("
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/16441#discussion_r95454611
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/GBTClassifier.scala ---
@@ -215,10 +224,21 @@ class GBTClassificationModel private[ml
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/16441#discussion_r95474280
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/tree/loss/LogLoss.scala ---
@@ -20,6 +20,15 @@ package org.apache.spark.mllib.tree.loss
import
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/16441#discussion_r95457108
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/GBTClassifier.scala ---
@@ -159,14 +157,21 @@ class GBTClassifier @Since("
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/16441#discussion_r95474360
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/tree/loss/LogLoss.scala ---
@@ -52,4 +61,8 @@ object LogLoss extends Loss {
// The following
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/16441#discussion_r95454890
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/GBTClassifier.scala ---
@@ -241,19 +261,42 @@ class GBTClassificationModel private[ml
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/16441#discussion_r95455906
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/GBTClassifier.scala ---
@@ -241,19 +261,42 @@ class GBTClassificationModel private[ml
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/16441#discussion_r95455485
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/GBTClassifier.scala ---
@@ -241,19 +261,42 @@ class GBTClassificationModel private[ml
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/16441#discussion_r95492631
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/GBTClassifier.scala ---
@@ -241,19 +261,42 @@ class GBTClassificationModel private[ml
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/16377#discussion_r95493260
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/tree/impl/RandomForestSuite.scala ---
@@ -161,6 +161,33 @@ class RandomForestSuite extends SparkFunSuite
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/16377#discussion_r95494883
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/tree/impl/RandomForestSuite.scala ---
@@ -176,6 +203,18 @@ class RandomForestSuite extends SparkFunSuite
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/16377#discussion_r95494917
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/tree/impl/RandomForestSuite.scala ---
@@ -170,12 +197,24 @@ class RandomForestSuite extends SparkFunSuite
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/16441#discussion_r95499165
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/GBTClassifier.scala ---
@@ -275,18 +316,33 @@ class GBTClassificationModel private[ml
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/16441#discussion_r95497945
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/classification/GBTClassifierSuite.scala
---
@@ -66,10 +72,157 @@ class GBTClassifierSuite extends
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/16441#discussion_r95495249
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/GBTClassifier.scala ---
@@ -275,18 +316,33 @@ class GBTClassificationModel private[ml
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/16441#discussion_r95495553
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/tree/loss/LogLoss.scala ---
@@ -20,6 +20,12 @@ package org.apache.spark.mllib.tree.loss
import
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/16441#discussion_r95498992
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/tree/loss/LogLoss.scala ---
@@ -20,6 +20,12 @@ package org.apache.spark.mllib.tree.loss
import
Github user sethah commented on the issue:
https://github.com/apache/spark/pull/16377
This LGTM, thanks! ping @jkbradley
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Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/16441#discussion_r95672358
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/GBTClassifier.scala ---
@@ -275,18 +316,30 @@ class GBTClassificationModel private[ml
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/16441#discussion_r95667604
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/GBTClassifier.scala ---
@@ -159,14 +158,21 @@ class GBTClassifier @Since("
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/16441#discussion_r95670584
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/GBTClassifier.scala ---
@@ -193,6 +199,8 @@ object GBTClassifier extends
Github user sethah commented on the issue:
https://github.com/apache/spark/pull/16571
Can we please discuss, on the JIRA, whether this is something we actually
want to do? @srowen raises a point that I tend to agree with, so I'd prefer not
to proceed with code review until w
GitHub user sethah opened a pull request:
https://github.com/apache/spark/pull/16661
[SPARK-19313][ML][MLLIB] GaussianMixture should limit the number of features
## What changes were proposed in this pull request?
The following test will fail on current master
Github user sethah commented on the issue:
https://github.com/apache/spark/pull/16661
ping @yanboliang
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Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/16661#discussion_r97428335
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/clustering/GaussianMixtureSuite.scala
---
@@ -53,6 +53,19 @@ class GaussianMixtureSuite extends
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/16661#discussion_r97428409
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/clustering/GaussianMixture.scala ---
@@ -272,6 +277,10 @@ class GaussianMixture private
Github user sethah commented on the issue:
https://github.com/apache/spark/pull/16661
@imatiach-msft Spark committers must push the changes. As long as at least
one committer is aware of the changes there is probably nothing left to do.
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Github user sethah commented on the issue:
https://github.com/apache/spark/pull/16661
Thanks for the review @srowen and @imatiach-msft!
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Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/16661#discussion_r97479326
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/clustering/GaussianMixture.scala ---
@@ -486,6 +491,9 @@ class GaussianMixture @Since("
Github user sethah commented on the issue:
https://github.com/apache/spark/pull/16377
Thanks @jkbradley!
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Github user sethah commented on the issue:
https://github.com/apache/spark/pull/16557
+1 for breaking it up, maybe starting with regression. Also, just because
something hasn't been reviewed in two weeks does not mean that there is no
interest in it. Two weeks is not all that
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/15628#discussion_r86358529
--- Diff:
mllib-local/src/main/scala/org/apache/spark/ml/linalg/Matrices.scala ---
@@ -1076,4 +1240,15 @@ object Matrices {
SparseMatrix.fromCOO
Github user sethah commented on the issue:
https://github.com/apache/spark/pull/15671
I created [SPARK-18253](https://issues.apache.org/jira/browse/SPARK-18253)
to track it. We may have to get to it after 2.1 QA period.
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Github user sethah commented on the issue:
https://github.com/apache/spark/pull/9
@yinxusen Status update?
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Github user sethah commented on the issue:
https://github.com/apache/spark/pull/15671
@jkbradley Thanks for bringing that up. I'm ok with alternate solutions
provided they don't require someone to remember to manually add or manually
except a new param, and that we can ensu
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/15593#discussion_r86436188
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala
---
@@ -1486,57 +1489,75 @@ private class LogisticAggregator
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/15593#discussion_r86434451
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala
---
@@ -489,13 +485,14 @@ class LogisticRegression @Since("
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/15593#discussion_r86433115
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala
---
@@ -1486,57 +1489,75 @@ private class LogisticAggregator
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/15314#discussion_r86459287
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/util/MLTestingUtils.scala ---
@@ -137,10 +172,11 @@ object MLTestingUtils extends SparkFunSuite
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/15314#discussion_r86464072
--- Diff: mllib/src/main/scala/org/apache/spark/ml/Predictor.scala ---
@@ -91,7 +103,20 @@ abstract class Predictor[
// Cast LabelCol to
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/15314#discussion_r86463958
--- Diff: mllib/src/main/scala/org/apache/spark/ml/Predictor.scala ---
@@ -91,7 +103,20 @@ abstract class Predictor[
// Cast LabelCol to
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/15314#discussion_r86460724
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/util/MLTestingUtils.scala ---
@@ -47,18 +48,49 @@ object MLTestingUtils extends SparkFunSuite
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/15314#discussion_r86463845
--- Diff: mllib/src/main/scala/org/apache/spark/ml/Predictor.scala ---
@@ -59,10 +69,12 @@ private[ml] trait PredictorParams extends Params
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/15314#discussion_r86461964
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/regression/IsotonicRegression.scala ---
@@ -86,7 +86,7 @@ private[regression] trait IsotonicRegressionBase
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/15314#discussion_r86457706
--- Diff: mllib/src/main/scala/org/apache/spark/ml/Predictor.scala ---
@@ -51,6 +51,16 @@ private[ml] trait PredictorParams extends Params
Github user sethah commented on the issue:
https://github.com/apache/spark/pull/15762
Looks like a duplicate of https://github.com/apache/spark/pull/12574 ?
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Github user sethah commented on the issue:
https://github.com/apache/spark/pull/15314
LGTM after typo is fixed. ping @jkbradley @srowen
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Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/15314#discussion_r86569986
--- Diff: mllib/src/main/scala/org/apache/spark/ml/Predictor.scala ---
@@ -70,8 +68,8 @@ private[ml] trait PredictorParams extends Params
GitHub user sethah opened a pull request:
https://github.com/apache/spark/pull/15773
[SPARK-18276][ML] ML models should copy the training summary and set parent
## What changes were proposed in this pull request?
Only some of the models which contain a training summary
Github user sethah commented on the issue:
https://github.com/apache/spark/pull/15773
@yanboliang mind having a look?
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GitHub user sethah opened a pull request:
https://github.com/apache/spark/pull/15777
[SPARK-18282][ML][PYSPARK] Add python clustering summaries for GMM and BKM
## What changes were proposed in this pull request?
Add model summary APIs for `GaussianMixtureModel` and
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/13557#discussion_r86653603
--- Diff: python/pyspark/ml/clustering.py ---
@@ -201,7 +202,74 @@ def computeCost(self, dataset):
"""
return
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/15777#discussion_r86653456
--- Diff: python/pyspark/ml/tests.py ---
@@ -1097,6 +1097,42 @@ def test_logistic_regression_summary(self):
sameSummary = model.evaluate(df
Github user sethah commented on the issue:
https://github.com/apache/spark/pull/13557
I created [SPARK-18282](https://issues.apache.org/jira/browse/SPARK-18282)
and the PR: https://github.com/apache/spark/pull/15777 to implement this
interface for GMM and BisectingKMeans. These two
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/15777#discussion_r86653312
--- Diff: python/pyspark/ml/classification.py ---
@@ -309,13 +309,16 @@ def interceptVector(self):
@since("2.0.0")
def su
Github user sethah commented on the issue:
https://github.com/apache/spark/pull/15779
+1 on removing the use of exceptions. I thought it was a bit of an awkward
solution to begin with. Thanks a lot for this pr, I will take a look soon.
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Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/15779#discussion_r86670216
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/optim/NormalEquationSolver.scala ---
@@ -156,7 +157,7 @@ private[ml] class QuasiNewtonSolver
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/15779#discussion_r86670363
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/regression/LinearRegression.scala ---
@@ -166,6 +166,9 @@ class LinearRegression @Since("1.3.0"
Github user sethah commented on the issue:
https://github.com/apache/spark/pull/15148
I apologize for coming late to this, but I am taking a look at some of the
documentation now. For `RandomProjection` class there are two links: one to
wikipedia entry on stable distributions and one
Github user sethah commented on the issue:
https://github.com/apache/spark/pull/15148
@karlhigley Thanks for your detailed response. From the amplification
section on
[Wikipedia](https://en.wikipedia.org/wiki/Locality-sensitive_hashing#Amplification),
it is pretty clear to me that
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/15148#discussion_r86719955
--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/MinHash.scala ---
@@ -0,0 +1,194 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF
Github user sethah commented on the issue:
https://github.com/apache/spark/pull/15148
Ok, I'm looking more closely at this algorithm versus the literature. I
agree that there is a lot of inconsistent terminology which is probably leading
to some of the confusion here.
Github user sethah commented on the issue:
https://github.com/apache/spark/pull/15148
So I'll try to summarize the AND/OR amplification and how I think it fits
into the current API right now. LSH relies on a single hashing function `h(x)`
which is (R, cR, p1, p2)-sensitive which
Github user sethah commented on the issue:
https://github.com/apache/spark/pull/15768
I began to review this, but got sidetracked with a lot of the details we
are currently discussing on the [original LSH
PR](https://github.com/apache/spark/pull/15148).
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Github user sethah commented on the issue:
https://github.com/apache/spark/pull/15148
I was using L to refer to the number of compound hash functions, but you're
right that in my explanation L was the "OR" parameter and d was the "AND"
parameter.
Thi
Github user sethah commented on the issue:
https://github.com/apache/spark/pull/15593
@MLnick I updated it with your suggested wording for the comments.
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Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/15779#discussion_r87014522
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/regression/LinearRegression.scala ---
@@ -404,6 +406,13 @@ object LinearRegression extends
Github user sethah commented on the issue:
https://github.com/apache/spark/pull/9
This is probably going to miss 2.1 since we are officially in QA now, just
as an fyi.
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Github user sethah commented on the issue:
https://github.com/apache/spark/pull/15800
Using this as hashing distance for near-neighbor search doesn't make sense
to me. If there aren't enough candidates where the distance is zero, we'll
select some candidates who ha
Github user sethah commented on the issue:
https://github.com/apache/spark/pull/15800
Good point. Maybe we can log a warning when multi-probing is called with
MinHash - to say that it will result in running brute force knn when there
aren't enough candidates.
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Github user sethah commented on the issue:
https://github.com/apache/spark/pull/15779
LGTM
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Github user sethah commented on the issue:
https://github.com/apache/spark/pull/15800
@jkbradley Your updated summary above is in line with my view as well -
that "multi-probing" as described in the paper doesn't translate exactly to
MinHash, but that it does ma
Github user sethah commented on the issue:
https://github.com/apache/spark/pull/15074
Something like `foreachActive` for matrices would enable a better solution,
but if we don't go that route then I agree with @thunterdb about comparing
sparse matrices with the same tran
Github user sethah commented on the issue:
https://github.com/apache/spark/pull/15148
If we were to use a matrix for the output, then when we do
`approxSimilarityJoin` we would want to explode the output column by matrix
rows, assuming the matrix structure was
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/15593#discussion_r87275543
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala
---
@@ -489,13 +485,14 @@ class LogisticRegression @Since("
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/15800#discussion_r87429950
--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/MinHash.scala ---
@@ -76,7 +72,19 @@ class MinHashModel private[ml] (
@Since("
Github user sethah commented on the issue:
https://github.com/apache/spark/pull/15800
I agree with @jkbradley's suggested approach. One key point here (for
MinHash):
If a query point vector q hashes to some MinHash Vector [5.0, 22.0, 13.0]
the best candidates will be
Github user sethah commented on the issue:
https://github.com/apache/spark/pull/15800
I think that we would have the following hash distance signature:
scala
def hashDistance(x: Vector, y: Vector): Double
Then in `approxNearestNeighbors` we would
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/15683#discussion_r87487460
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/regression/GeneralizedLinearRegressionSuite.scala
---
@@ -83,10 +83,11 @@ class
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/15683#discussion_r87487494
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/regression/GeneralizedLinearRegressionSuite.scala
---
@@ -453,6 +454,8 @@ class
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/15593#discussion_r87504228
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala
---
@@ -489,13 +485,14 @@ class LogisticRegression @Since("
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/15683#discussion_r87609107
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/regression/GeneralizedLinearRegressionSuite.scala
---
@@ -453,6 +464,56 @@ class
Github user sethah commented on the issue:
https://github.com/apache/spark/pull/15683
@actuaryzhang Thanks a lot for correcting this! I just had a small comment
to make the additional test shorter.
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Github user sethah commented on the issue:
https://github.com/apache/spark/pull/15800
@jkbradley Thanks for clarifying, I see your argument now. I agree that it
makes sense from a statistical perspective. Still, I have not seen a single
paper that describes anything quite exactly
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/15817#discussion_r87617849
--- Diff: python/pyspark/ml/feature.py ---
@@ -1163,9 +1184,11 @@ class QuantileDiscretizer(JavaEstimator,
HasInputCol, HasOutputCol, JavaMLReadab
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/15817#discussion_r87617539
--- Diff: python/pyspark/ml/feature.py ---
@@ -158,21 +158,28 @@ class Bucketizer(JavaTransformer, HasInputCol,
HasOutputCol, JavaMLReadable, Jav
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/15683#discussion_r87639131
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/regression/GeneralizedLinearRegressionSuite.scala
---
@@ -88,6 +89,12 @@ class
Github user sethah commented on the issue:
https://github.com/apache/spark/pull/15593
Thanks for the detailed explanation @dbtsai. +1 for doing this in a
separate PR, since I'd imagine we want to run all the performance tests again
as well.
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Github user sethah commented on the issue:
https://github.com/apache/spark/pull/15593
Thanks @dbtsai!
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Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/15881#discussion_r87826206
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/regression/LinearRegression.scala ---
@@ -171,7 +171,10 @@ class LinearRegression @Since("1.3.0"
Github user sethah commented on the issue:
https://github.com/apache/spark/pull/15777
ping @yanboliang
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Github user sethah commented on the issue:
https://github.com/apache/spark/pull/15874
Thanks @yunni, I can take a look at this today. I would prefer to separate
the addition of "AND-amplification" into another PR since the other changes I
believe we'd like to get in
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/15777#discussion_r87841411
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/clustering/BisectingKMeans.scala ---
@@ -132,7 +132,7 @@ class BisectingKMeansModel private[ml
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/15881#discussion_r87887739
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/regression/LinearRegression.scala ---
@@ -171,7 +171,10 @@ class LinearRegression @Since("1.3.0"
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/15874#discussion_r87910679
--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/MinHashLSH.scala
---
@@ -74,9 +72,12 @@ class MinHashModel private[ml
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/15874#discussion_r87875995
--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/MinHashLSH.scala
---
@@ -74,9 +72,12 @@ class MinHashModel private[ml
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/15874#discussion_r87844308
--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/MinHashLSH.scala
---
@@ -144,12 +152,12 @@ class MinHash(override val uid: String) extends
LSH
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/15874#discussion_r87904353
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/feature/MinHashLSHSuite.scala ---
@@ -24,7 +24,7 @@ import org.apache.spark.ml.util.DefaultReadWriteTest
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