Ecosyste.ms: Issues

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GitHub / joshlk/k-means-constrained issues and pull requests

#56 - conda version

Issue - State: closed - Opened by drcandacemakedamoore 4 months ago - 4 comments

#54 - Is it possible to implement MiniBatchKmeansConstrained?

Issue - State: open - Opened by pengzhenghao 9 months ago - 1 comment

#52 - Allow top-level customisation of the distance metric used for clustering

Pull Request - State: open - Opened by bibblybobblyben about 1 year ago - 3 comments

#51 - Issue with min cost flow input

Issue - State: closed - Opened by gregmorse about 1 year ago - 2 comments

#50 - import k_means_constrained

Issue - State: closed - Opened by MLobatoR about 1 year ago - 4 comments

#49 - Weighting observations

Issue - State: closed - Opened by RobShaw77 about 1 year ago - 1 comment

#47 - Resource intensity

Issue - State: closed - Opened by carl-offerfit over 1 year ago - 2 comments

#46 - Try building for Py3.6 and Py3.7

Pull Request - State: closed - Opened by joshlk over 1 year ago

#45 - Use oldest-supported-numpy and cibuildwheel

Pull Request - State: closed - Opened by joshlk over 1 year ago

#44 - Can't install k-means-constrained

Issue - State: closed - Opened by topout over 1 year ago - 2 comments

#43 - Updating to have predict_untrained function

Pull Request - State: closed - Opened by AdityaSavara over 1 year ago - 8 comments

#42 - Possibility to use this on k-modes

Issue - State: closed - Opened by Jhellewaard over 1 year ago - 2 comments

#41 - Issue in importing k-means-constrained in Google Colab notebook

Issue - State: closed - Opened by bhattashreya over 1 year ago - 2 comments

#40 - Maybe tag a new release?

Issue - State: closed - Opened by amks1 over 1 year ago - 1 comment

#39 - [BUG] error compiling on apple silicon.

Issue - State: closed - Opened by JamiePringle over 1 year ago - 2 comments

#38 - [How to classify the new instances after obtaining a constrained clustering]

Issue - State: closed - Opened by Strawberry9583 almost 2 years ago - 1 comment

#36 - QGIS implementation

Issue - State: closed - Opened by ryanpeel about 2 years ago - 1 comment

#35 - Wrong clustering with pre_computed adjacency matrix

Issue - State: closed - Opened by mosikh about 2 years ago - 3 comments

#34 - Wrong clustering

Issue - State: closed - Opened by mosikh about 2 years ago - 1 comment

#33 - Work with ortools >= 9.4.1874 and numpy >= 1.23.0

Pull Request - State: closed - Opened by joshlk about 2 years ago

#32 - [BUG] Failed to build k-means-constrained

Issue - State: closed - Opened by ivan-zapreev about 2 years ago - 3 comments

#31 - facing the issue during running

Issue - State: closed - Opened by nsitlokeshjain about 2 years ago - 2 comments

#30 - [BUG] installation issues with numpy < 1.23

Issue - State: closed - Opened by sconstable over 2 years ago - 3 comments

#29 - Pin `ortools<9.4`

Pull Request - State: closed - Opened by esmail over 2 years ago - 1 comment

#27 - [BUG] Won't install

Issue - State: closed - Opened by thistleknot over 2 years ago - 1 comment

#26 - Feature value constrained in a spatial aplication

Issue - State: closed - Opened by orlandombaa over 2 years ago - 3 comments

#25 - Usage for size_max < sample size

Issue - State: closed - Opened by ajdajd over 2 years ago - 2 comments

#24 - [Enhancement] Add support for sample_weight in the fit function

Issue - State: closed - Opened by RowdyHowell over 2 years ago - 8 comments

#23 - Import Error [BUG]

Issue - State: closed - Opened by ekwan over 2 years ago - 4 comments

#22 - Fitting times for KMeansConstrained is much longer than regular KMeans()

Issue - State: closed - Opened by jack11wagner over 2 years ago - 2 comments

#21 - Python package dependency issue

Issue - State: closed - Opened by calebhallinan over 2 years ago - 5 comments

#20 - Bumpy numpy version

Pull Request - State: closed - Opened by joshlk over 2 years ago

#18 - numpy.ndarray size changed?

Issue - State: closed - Opened by tlupien-personal almost 3 years ago - 15 comments

#17 - Possible to specify custom distance matrix?

Issue - State: open - Opened by amks1 almost 3 years ago - 3 comments

#16 - Constrained K-Means not implemented to sparse Matrix

Issue - State: closed - Opened by ericjardimx about 3 years ago - 3 comments

#15 - Different constrains per cluster

Issue - State: closed - Opened by kennylajara about 3 years ago - 1 comment

#14 - "Relative Tolerance" Definition

Issue - State: closed - Opened by delivermore over 3 years ago - 1 comment

#13 - Can't import K-means-constrained

Issue - State: closed - Opened by Soumaya787 over 3 years ago - 1 comment

#12 - [BUG] import error with python 3.8 and numpy < 1.20

Issue - State: closed - Opened by awaizman1 over 3 years ago - 2 comments

#11 - Warning correction

Issue - State: closed - Opened by HediHargam over 3 years ago - 1 comment

#10 - There was an issue with the min cost flow input.

Issue - State: closed - Opened by zjorgensenbits over 3 years ago - 6 comments

#9 - Constrained predict

Pull Request - State: closed - Opened by joshlk almost 4 years ago

#8 - Problem with max size of clusters

Issue - State: closed - Opened by Arsalan-Vosough almost 4 years ago - 7 comments

#7 - Remove sklearn dependency

Pull Request - State: closed - Opened by joshlk over 4 years ago

#6 - Feature/cython build

Pull Request - State: closed - Opened by joshlk over 4 years ago

#5 - Cannot install on Docker

Issue - State: closed - Opened by ismail-khan-tajir over 4 years ago - 3 comments

#4 - Update imports to conform to scikit-learn 0.23

Issue - State: closed - Opened by mujadadrao over 4 years ago - 4 comments

#3 - Microsoft Visual C++is required

Issue - State: closed - Opened by meteve over 4 years ago - 2 comments

#2 - Installation Command

Issue - State: closed - Opened by avranil26 over 4 years ago - 1 comment