Fan Hong created FLINK-32889:
Summary: BinaryClassificationEvaluator gives wrong weighted AUC
value
Key: FLINK-32889
URL: https://issues.apache.org/jira/browse/FLINK-32889
Project: Flink
Issue
Fan Hong created FLINK-32810:
Summary: Improve managed memory usage in ListStateWithCache
Key: FLINK-32810
URL: https://issues.apache.org/jira/browse/FLINK-32810
Project: Flink
Issue Type
Fan Hong created FLINK-31846:
Summary: Support cancel final checkpoint when all tasks are
finished
Key: FLINK-31846
URL: https://issues.apache.org/jira/browse/FLINK-31846
Project: Flink
Issue
Fan Hong created FLINK-31809:
Summary: Improve efficiency of ListStateWithCache#snapshotState
Key: FLINK-31809
URL: https://issues.apache.org/jira/browse/FLINK-31809
Project: Flink
Issue Type
Hi Dong and Zhipeng,
Thanks for starting the discussion. Glad to see a new release of Flink ML.
Cheers!
On Fri, Mar 31, 2023 at 2:34 PM Zhipeng Zhang
wrote:
> Hi Dong,
>
> Thanks for starting the discussion. +1 for the Flink ML 2.1.0 release.
>
Fan Hong created FLINK-31625:
Summary: Possbile OOM in KBinsDiscretizer
Key: FLINK-31625
URL: https://issues.apache.org/jira/browse/FLINK-31625
Project: Flink
Issue Type: Bug
Fan Hong created FLINK-31623:
Summary: Improvements on DataStreamUtils#sample
Key: FLINK-31623
URL: https://issues.apache.org/jira/browse/FLINK-31623
Project: Flink
Issue Type: Improvement
Fan Hong created FLINK-31189:
Summary: Allow ignore less frequent values in StringIndexer
Key: FLINK-31189
URL: https://issues.apache.org/jira/browse/FLINK-31189
Project: Flink
Issue Type
Fan Hong created FLINK-31030:
Summary: Support more binary classification evaluation metrics.
Key: FLINK-31030
URL: https://issues.apache.org/jira/browse/FLINK-31030
Project: Flink
Issue Type
Fan Hong created FLINK-31029:
Summary: KBinsDiscretizer gives wrong bin edges when input data
contains only 2 distinct values
Key: FLINK-31029
URL: https://issues.apache.org/jira/browse/FLINK-31029
Fan Hong created FLINK-31026:
Summary: KBinsDiscretizer should gives binEdges wrong bin edges
when all values are same.
Key: FLINK-31026
URL: https://issues.apache.org/jira/browse/FLINK-31026
Project
Fan Hong created FLINK-31010:
Summary: Add Transformer and Estimator for GBTClassifier and
GBTRegressor
Key: FLINK-31010
URL: https://issues.apache.org/jira/browse/FLINK-31010
Project: Flink
Fan Hong created FLINK-30982:
Summary: Support checkpoint mechanism in GBT
Key: FLINK-30982
URL: https://issues.apache.org/jira/browse/FLINK-30982
Project: Flink
Issue Type: Sub-task
Fan Hong created FLINK-30957:
Summary: Support other missing features
Key: FLINK-30957
URL: https://issues.apache.org/jira/browse/FLINK-30957
Project: Flink
Issue Type: Sub-task
Fan Hong created FLINK-30956:
Summary: Add Python implementation of GBTClassifer and
GBTRegressor.
Key: FLINK-30956
URL: https://issues.apache.org/jira/browse/FLINK-30956
Project: Flink
Issue
Fan Hong created FLINK-30955:
Summary: Support early stopping with validation set.
Key: FLINK-30955
URL: https://issues.apache.org/jira/browse/FLINK-30955
Project: Flink
Issue Type: Sub-task
Fan Hong created FLINK-30954:
Summary: Add estimator and transformer for GBTRegressor.
Key: FLINK-30954
URL: https://issues.apache.org/jira/browse/FLINK-30954
Project: Flink
Issue Type: Sub-task
Fan Hong created FLINK-30953:
Summary: Support intermediate state management and model save/load.
Key: FLINK-30953
URL: https://issues.apache.org/jira/browse/FLINK-30953
Project: Flink
Issue
Fan Hong created FLINK-30952:
Summary: Add main training and transforming part.
Key: FLINK-30952
URL: https://issues.apache.org/jira/browse/FLINK-30952
Project: Flink
Issue Type: Sub-task
Fan Hong created FLINK-30939:
Summary: Add public APIs and topmost framework for GBTClassifer
Key: FLINK-30939
URL: https://issues.apache.org/jira/browse/FLINK-30939
Project: Flink
Issue Type
Fan Hong created FLINK-30937:
Summary: Add Transformer and Estimator for GBTClassifier and
GBTRegressor
Key: FLINK-30937
URL: https://issues.apache.org/jira/browse/FLINK-30937
Project: Flink
Fan Hong created FLINK-30734:
Summary: KBinsDiscretizer handles Double.NaN incorrectly
Key: FLINK-30734
URL: https://issues.apache.org/jira/browse/FLINK-30734
Project: Flink
Issue Type: Bug
Fan Hong created FLINK-30730:
Summary: StringIndexer cannot handle null values correctly when
training
Key: FLINK-30730
URL: https://issues.apache.org/jira/browse/FLINK-30730
Project: Flink
Fan Hong created FLINK-30401:
Summary: Add Estimator and Transformer for MinHashLSH
Key: FLINK-30401
URL: https://issues.apache.org/jira/browse/FLINK-30401
Project: Flink
Issue Type: New Feature
some community
convention.
I also would like to mention the same issue exists in Proposal 1, as there
are also multiple places where developers can implement algorithms.
In summary, I think the first and second issue above are
preference-related, and hope my thoughts can give some clues. The third
ve.
[1]
https://docs.google.com/document/d/1L3aI9LjkcUPoM52liEY6uFktMnFMNFQ6kXAjnz_11do
Sincerely,
Fan Hong
On Fri, Aug 6, 2021 at 3:56 PM Becket Qin wrote:
> Hi Zhipeng,
>
> Yes, I agree that the key difference between the two options is how they
> support MIMO.
>
> My main
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