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Peng Cheng commented on MAHOUT-1286:
The existing open addressing hash table is for
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Peng Cheng commented on MAHOUT-1286:
Hi Gokhan,
No problem, but it only has two
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Peng Cheng updated MAHOUT-1286:
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Attachment: Semifinal-implementation-added.patch
Sorry about the late reply, and please be noted
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Peng Cheng commented on MAHOUT-1286:
Hi Dr Dunning,
Great appreciation, I watched
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Peng Cheng commented on MAHOUT-1286:
The idea of ArrayMap has been discarded due to
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Peng Cheng updated MAHOUT-1286:
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Attachment: InMemoryDataModelTest.java
InMemoryDataModel.java
See uploaded files
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Peng Cheng commented on MAHOUT-1286:
Here is my final solution after numerous
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Peng Cheng updated MAHOUT-1286:
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Fix Version/s: 0.9
Labels: collaborative-filtering datamodel patch recommender (was: )
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Peng Cheng edited comment on MAHOUT-1286 at 8/12/13 4:44 PM:
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Peng Cheng commented on MAHOUT-1286:
Hi Dr Dunning,
Indeed both Gokhan and me have
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Peng Cheng commented on MAHOUT-1286:
Well, I mean, I partially agree that the effort
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Peng Cheng edited comment on MAHOUT-1286 at 8/12/13 4:54 PM:
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Peng Cheng commented on MAHOUT-1286:
Hi Gentlemen,
Thanks a lot for proving my point
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Peng Cheng commented on MAHOUT-1286:
Also, please be noted that the first patch is
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Peng Cheng commented on MAHOUT-1286:
Aye aye, I just did, turns out that instances of
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Peng Cheng commented on MAHOUT-1286:
On second thought, hash map is very likely not
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Peng Cheng commented on MAHOUT-1286:
In another hand, I try to solve the problem by
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Peng Cheng edited comment on MAHOUT-1286 at 7/23/13 12:26 AM:
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Peng Cheng commented on MAHOUT-1286:
Hi Sebastian, Gokhan, how do you feel about the
Peng Cheng created MAHOUT-1286:
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Summary: Memory-efficient DataModel, supporting fast online
updates and iteration
Key: MAHOUT-1286
URL: https://issues.apache.org/jira/browse/MAHOUT-1286
Project: Mahout
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Peng Cheng updated MAHOUT-1286:
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Summary: Memory-efficient DataModel, supporting fast online updates and
element-wise iteration
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Peng Cheng commented on MAHOUT-1272:
Test on libimseti dataset
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Peng Cheng updated MAHOUT-1272:
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Attachment: libimsetiSVDRecomenderEvaluatorRunner.java
here is the component for testing on
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Peng Cheng edited comment on MAHOUT-1272 at 7/13/13 8:57 PM:
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Peng Cheng updated MAHOUT-1272:
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Attachment: NetflixRecomenderEvaluatorRunner.java
Runnable component for testing
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Peng Cheng commented on MAHOUT-1274:
Main component finished. The new factorizer and
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Peng Cheng commented on MAHOUT-1274:
Totally agree, I don't know about other
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Peng Cheng commented on MAHOUT-1272:
Hey Sebastian, Hudson, Thank you so much for on
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Peng Cheng edited comment on MAHOUT-1272 at 7/8/13 6:06 PM:
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Peng Cheng commented on MAHOUT-1272:
Hey honoured contributors I've got some crude
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Peng Cheng updated MAHOUT-1272:
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Attachment: ParallelSGDFactorizerTest.java
ParallelSGDFactorizer.java
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Peng Cheng commented on MAHOUT-1272:
Hi Sebastian may I ask question? I digged some
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Peng Cheng edited comment on MAHOUT-1272 at 7/7/13 10:21 PM:
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Peng Cheng commented on MAHOUT-1272:
New parameter:
lambda = 0.001
rank of the rating
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Peng Cheng commented on MAHOUT-1272:
Hi Sebastian,
Really? I would break my fingers
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Peng Cheng edited comment on MAHOUT-1272 at 7/6/13 2:43 PM:
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Peng Cheng updated MAHOUT-1274:
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Description:
an online SVD recommender is otherwise similar to an offline SVD recommender
except
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Peng Cheng commented on MAHOUT-1274:
BTW may I ask (noobishly) that why you have
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Peng Cheng updated MAHOUT-1272:
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Labels: features patch test (was: )
Status: Patch Available (was: Open)
Hey I have finished
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Peng Cheng updated MAHOUT-1272:
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Attachment: ParallelSGDFactorizerTest.java
ParallelSGDFactorizer.java
java file
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Peng Cheng updated MAHOUT-1272:
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Attachment: mahout.patch
patch
Parallel SGD matrix factorizer for SVDrecommender
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Peng Cheng commented on MAHOUT-1272:
The next step would be to create an online
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Peng Cheng commented on MAHOUT-1272:
Aye aye, more test on the way. Much obliged to
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Peng Cheng commented on MAHOUT-1272:
Looks like the 1/n learning rate doesn't work at
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Peng Cheng commented on MAHOUT-1272:
learning rate/step size are set to be identical
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Peng Cheng commented on MAHOUT-1089:
Code is slick! But apparently there is no
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Peng Cheng updated MAHOUT-1272:
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Description:
a parallel factorizer based on MAHOUT-1089 may achieve better performance on
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Peng Cheng updated MAHOUT-1272:
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Description:
a parallel factorizer based on MAHOUT-1089 may achieve better performance on
Peng Cheng created MAHOUT-1272:
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Summary: Parallel SGD matrix factorizer for SVDrecommender
Key: MAHOUT-1272
URL: https://issues.apache.org/jira/browse/MAHOUT-1272
Project: Mahout
Issue Type:
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Peng Cheng commented on MAHOUT-1272:
I presume it be be a single-machine multi-core?
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Peng Cheng commented on MAHOUT-1272:
I'm reading the source code of ALS-WR,
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Peng Cheng commented on MAHOUT-1272:
Thank a lot for the hint! Is it in
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