Modeling - Notebook pour Stacking et légères modifications notebooks Feature Selection #83
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…ns notebook feature selection pour bien run
Contributor
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Est ce que tu peux rajouter les dépendances (tensorflow, keras etc..) dans le |
Contributor
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tip tu peux utiliser |
Contributor
Author
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Je mets juste les librairies que j'utilise dans les notebooks ou je dois tout mettre parce qu’il y a des questions de dépendances ? |
Contributor
Author
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Sinon je ne rajoute "que" ça : Keras==2.2.4 |
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Yes que celles dont tu as besoin / ajoutes
Le mer. 30 janv. 2019 à 15:12, DatenBiene <[email protected]> a
écrit :
Sinon je ne rajoute "que" ça :
Keras==2.2.4
matplotlib==3.0.2
numpy==1.15.4
pandas==0.24.0
plotly==3.5.0
scikit-learn==0.20.2
seaborn==0.9.0
statsmodels==0.9.0
tensorboard==1.12.2
tensorflow==1.12.0
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Martin DANIEL
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Top je fais ça ! |
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Création d'un notebook "Modeling - Stacking - Satck Best Models " dans notebook et modifications légères de 3 notebooks:
-Notebook Stacking :
Les méthodes de stacking ont de bons résultats sur notre problème. Un nouveau notebook "Modeling - Stacking - Satck Best Models " regroupe différentes méthodes ML et DL pour comparer les résultats et chercher le meilleur assemblage de models.
-Légères modifications notebooks :
Rajout partie Stacking dans Modelling - Comparing ML
Les deux notebooks de Selection Feature avaient de petits problèmes d'ordre d'appel des variables. On a juste interverti certaine cellules et rajouté des lignes qui avaient été supprimées par inadvertance.