Github user jkbradley commented on the issue:
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OK sorry to push @wangmiao1981 ! I just want to make sure this gets in
before I no longer have bandwidth for it. If you have the time, would you mind
checking the updates I made in the new PR?
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@jkbradley I close this one now. Thanks!
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@jkbradley Sorry for missing your comments. Anyway, I will close it now. I
will choose another one to work on. Thanks!
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I don't mind; I'll take it. But I'll mark @wangmiao1981 as the main
contributor for the PR. Would you mind closing this issue @wangmiao1981 and
I'll reopen a new PR under the same JIRA?
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@wangmiao1981 If you're busy I can help take over this. -:)
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@wangmiao1981 Do let me know if you're too busy now to resume this; I know
it's been a long time. Thanks!
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Just pinged @yanboliang on JIRA about me taking over shepherding this. It
will need at least one update: change Since versions from 2.3.0 to 2.4.0.
Sorry for the long wait @wangmiao1981 : (
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ping @yanboliang
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ping @yanboliang
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LGTM. ping @yanboliang
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@weichenXu123 Any other comments? Thanks!
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@WeichenXu123 Thanks for your review and reply! I agree with you that the
helper can be discussed later for potential enhancement.
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@wangmiao1981 oh, not a big deal, what I thought is that, user is possible
to use `graphx` package to get the `Graph[Double, Double]`, and in `ml` package
it cannot accept this format, require
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@WeichenXu123 , for the graph helper, the Mllib has a version takes
`Graph[Double, Double]` as a parameter for training. In ML, do we have to
provide `DataSet` of `Graph`? Can you specify the
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I will address the review comments soon. Thanks! @WeichenXu123
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@wangmiao1981 Sorry for delay, I will take a look later, thanks!
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ping @WeichenXu123
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@WeichenXu123 I have made changes based on your comments. Thanks!
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Jenkins, retest this please.
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info] Main Scala API documentation successful.
[error] (spark/javaunidoc:doc) javadoc returned nonzero exit code
[error] Total time: 95 s, completed Aug 15, 2017 4:59:59 PM
[error]
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retest please
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Jenkins, retest please
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weird. Local style test passed. Anyway, I changed the order as required by
Jenkins.
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@WeichenXu123 Thanks for reviewing! I will address the comments soon.
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@yanboliang Can you take a look first? Thanks!
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Any update on this?
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gentle ping @jkbradley @yanboliang @thunterdb
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@jkbradley can you take a look? Thanks!
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It passed at local. I will fix the issue.
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@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 to
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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 will
Github user wangmiao1981 commented on the issue:
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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
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Note that any of these formats would cause trouble for a graph with high
centrality (lady gaga in the twitter graph). That being said, I do not have a
strong opinion as to which option we pick,
Github user jkbradley commented on the issue:
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Yep, that's correct. Everyone, please let me know if you disagree.
Also, if we do go with Option 2 above, then the input schema could be a few
possible things:
* list of (neighbor
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@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
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Sorry for my absence from recent conversation!
I agree there is no clear answer for handling input and output schema.
Some options:
* Option 1: same as RDD/GraphX-based API
*
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@thunterdb @yanboliang Do we reach an agreement on whether to make it a
transformer or an estimator now?
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@thunterdb I have two concerns about making PIC as an Estimator:
* As your suggestion, model's transform will introduce extra data shuffle
compared with the original implementation.
* It
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@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!
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@wangmiao1981 yes I had seen the discussions there. I believe that
eventually PIC should be moved into graphframes, but we can have a simple API
in `spark.ml` for the time being.
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I am checking ALS out to understand your suggestions. Thanks!
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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 or
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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.
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@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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You are right, I had forgotten that for this algorithm, the input is the
edges, and the output is the label for each of the vertices.
This is a tricky algorithm to put as a transformer,
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