[SPARK-20114][ML] spark.ml parity for sequential pattern mining - PrefixSpan #20810
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
|
Test build #88207 has finished for PR 20810 at commit
|
Contributor
Author
|
According to @jkbradley 's opinion. I create a new PR which only use a static method. |
asfgit
pushed a commit
that referenced
this pull request
May 7, 2018
…fixSpan ## What changes were proposed in this pull request? PrefixSpan API for spark.ml. New implementation instead of #20810 ## How was this patch tested? TestSuite added. Author: WeichenXu <[email protected]> Closes #20973 from WeichenXu123/prefixSpan2.
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
What changes were proposed in this pull request?
PrefixSpan API for spark.ml.
Note: Currently there's no sequential rule mining support in
mllib.PrefixSpanso we cannot implementPrefixSpanModel.transform. In this PR, the transform do nothing. Or we can throw out unsupport-operation exception. I am open to both of them.How was this patch tested?
Testsuite added.