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Arbre de régressions logistiques en cascade orthogonalehttps://github.com/sdpython/mlstatpy/issues/29
contenuhttps://github.com/sdpython/mlstatpy/issues?q=is%3Aissue%20state%3Aopen%20label%3Acontenu
sdpythonhttps://github.com/sdpython/mlstatpy/issues?q=is%3Aissue%20state%3Aopen%20author%3Asdpython
 0.3https://github.com/sdpython/mlstatpy/milestone/2
Apprendre un arbre de régression logistique avec l'algorithme EMhttps://github.com/sdpython/mlstatpy/issues/28
contenuhttps://github.com/sdpython/mlstatpy/issues?q=is%3Aissue%20state%3Aopen%20label%3Acontenu
sdpythonhttps://github.com/sdpython/mlstatpy/issues?q=is%3Aissue%20state%3Aopen%20author%3Asdpython
 0.3https://github.com/sdpython/mlstatpy/milestone/2
Remove the benchmark to use pymlbenchmarkhttps://github.com/sdpython/mlstatpy/issues/24
bughttps://github.com/sdpython/mlstatpy/issues?q=is%3Aissue%20state%3Aopen%20label%3Abug
enhancementhttps://github.com/sdpython/mlstatpy/issues?q=is%3Aissue%20state%3Aopen%20label%3Aenhancement
sdpythonhttps://github.com/sdpython/mlstatpy/issues?q=is%3Aissue%20state%3Aopen%20author%3Asdpython
 0.3https://github.com/sdpython/mlstatpy/milestone/2
étendre les versions streaming des régressions linéaires pour des fenêtres glissanteshttps://github.com/sdpython/mlstatpy/issues/22
contenuhttps://github.com/sdpython/mlstatpy/issues?q=is%3Aissue%20state%3Aopen%20label%3Acontenu
sdpythonhttps://github.com/sdpython/mlstatpy/issues?q=is%3Aissue%20state%3Aopen%20author%3Asdpython
 0.3https://github.com/sdpython/mlstatpy/milestone/2
appliquer le système de complétion au cas du morsehttps://github.com/sdpython/mlstatpy/issues/20
contenuhttps://github.com/sdpython/mlstatpy/issues?q=is%3Aissue%20state%3Aopen%20label%3Acontenu
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sdpythonhttps://github.com/sdpython/mlstatpy/issues?q=is%3Aissue%20state%3Aopen%20author%3Asdpython
 0.3https://github.com/sdpython/mlstatpy/milestone/2
finish p-valueshttps://github.com/sdpython/mlstatpy/issues/18
contenuhttps://github.com/sdpython/mlstatpy/issues?q=is%3Aissue%20state%3Aopen%20label%3Acontenu
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 0.3https://github.com/sdpython/mlstatpy/milestone/2
AUC cost is O(N^2), it could be O(n log n)https://github.com/sdpython/mlstatpy/issues/16
enhancementhttps://github.com/sdpython/mlstatpy/issues?q=is%3Aissue%20state%3Aopen%20label%3Aenhancement
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sdpythonhttps://github.com/sdpython/mlstatpy/issues?q=is%3Aissue%20state%3Aopen%20author%3Asdpython
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fix unstable issue with notebook on completionhttps://github.com/sdpython/mlstatpy/issues/14
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sdpythonhttps://github.com/sdpython/mlstatpy/issues?q=is%3Aissue%20state%3Aopen%20author%3Asdpython
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ajouter un notebook sur un modèle dont les réponses se concentrent sur elle-mêmehttps://github.com/sdpython/mlstatpy/issues/8
contenuhttps://github.com/sdpython/mlstatpy/issues?q=is%3Aissue%20state%3Aopen%20label%3Acontenu
readyhttps://github.com/sdpython/mlstatpy/issues?q=is%3Aissue%20state%3Aopen%20label%3Aready
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 0.3https://github.com/sdpython/mlstatpy/milestone/2
terminer le chapitre completionhttps://github.com/sdpython/mlstatpy/issues/3
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