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git add UQ_imbalance.py

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Tanushree Tunstall 2022-05-27 06:05:34 +01:00
parent 42c8c47e2d
commit 1da87ba177
4 changed files with 134 additions and 56 deletions
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11
UQ_pnca_ML.py
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@ -81,7 +81,11 @@ from sklearn.model_selection import cross_validate, cross_val_score
from sklearn.model_selection import RepeatedStratifiedKFold
from sklearn.ensemble import AdaBoostClassifier
from imblearn.combine import SMOTEENN
from imblearn.combine import SMOTETomek
from imblearn.over_sampling import SMOTENC
from imblearn.under_sampling import EditedNearestNeighbours
from imblearn.under_sampling import RepeatedEditedNearestNeighbours
from sklearn.model_selection import GridSearchCV
@ -117,7 +121,8 @@ os.chdir(homedir + "/git/ML_AI_training/")
#from MultClassPipe import MultClassPipeline
from MultClassPipe2 import MultClassPipeline2
from loopity_loop import MultClassPipeSKFLoop
from MultClassPipe3 import MultClassPipeSKFCV
#from MultClassPipe3 import MultClassPipeSKFCV
from UQ_MultClassPipe4 import MultClassPipeSKFCV
gene = 'pncA'
drug = 'pyrazinamide'
@ -285,9 +290,9 @@ all_df_wtgt.shape
#------
# X
#------
#X = all_df_wtgt[numerical_FN + categorical_FN] # training data ALL
X = all_df_wtgt[numerical_FN + categorical_FN] # training data ALL
X_bts = blind_test_df[numerical_FN + categorical_FN] # blind test data ALL
X = all_df_wtgt[numerical_FN] # training numerical only
#X = all_df_wtgt[numerical_FN] # training numerical only
#X_bts = blind_test_df[numerical_FN] # blind test data numerical
#------