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joblib and truedivided #20

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3bc2e39
Update pystacknet.py
hakatGH Jul 17, 2020
e44b591
Update pystacknet.py
hakatGH Jul 17, 2020
58be0d5
Update README.md
hakatGH Jul 20, 2020
02c90bd
Update README.md
hakatGH Jul 20, 2020
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4 changes: 4 additions & 0 deletions README.md
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Expand Up @@ -88,3 +88,7 @@ random_state | Integer for randomised procedures
n_jobs | Number of models to run in parallel. This is independent of any extra threads allocated
n_jobs | Number of models to run in parallel. This is independent of any extra threads allocated from the selected algorithms. e.g. it is possible to run 4 models in parallel where one is a randomforest that runs on 10 threads (it selected).
verbose | Integer value higher than zero to allow printing at the console.

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I fixed it for sklearn 0.23.0
now It works greatly :)
4 changes: 2 additions & 2 deletions pystacknet/pystacknet.py
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Expand Up @@ -19,7 +19,7 @@
from sklearn.model_selection import KFold
from sklearn.utils import check_X_y,check_array,check_consistent_length, column_or_1d
import inspect
from sklearn.externals.joblib import delayed,Parallel
from joblib import delayed,Parallel
import operator
import time
from sklearn.preprocessing import LabelEncoder
Expand Down Expand Up @@ -97,7 +97,7 @@ def _parallel_predict_proba_scoring(estimators, X, index):
raise Exception (" predictions' shape not equal among estimators within the batch as %d!=%d " % (predictions.shape[1],preds.shape[1]))

preds+=predictions
preds/=float(len(estimators))
preds= np.true_divide(preds,float(len(estimators)))

return preds,index

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