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added all autosklearn informed hyperparams

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Tanushree Tunstall 2022-05-26 04:51:47 +01:00
parent b5d29dd449
commit 8f8306d948
2 changed files with 141 additions and 7 deletions
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19
MultClassPipe3.py
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@ -126,14 +126,21 @@ def MultClassPipeSKFCV(input_df, target, skf_cv, var_type = ['numerical', 'categ
n_estimators = 1000 )
rf2 = RandomForestClassifier(
min_samples_leaf = 5
, n_estimators = 1000
, n_estimators = 100 #10
, bootstrap = True
, oob_score = True
, **njobs
, **rs
, max_features = 'auto')
xgb = XGBClassifier(**rs
, verbosity = 0, use_label_encoder =False)
xgb = XGBClassifier(**rs, verbosity = 0, use_label_encoder =False)
lda = LinearDiscriminantAnalysis()
mnb = MultinomialNB(**rs)
pa = PassiveAggressiveClassifier(**rs, **njobs)
sgd = SGDClassifier(**rs, **njobs)
models = [('Logistic Regression', log_reg)
, ('Naive Bayes' , nb)
@ -145,7 +152,11 @@ def MultClassPipeSKFCV(input_df, target, skf_cv, var_type = ['numerical', 'categ
, ('Random Forest' , rf)
, ('Naive Bayes' , nb)
, ('Random Forest2' , rf2)
, ('XGBoost' , xgb)]
, ('XGBoost' , xgb)
, ('LDA' , lda)
, ('MultinomialNB' , mnb)
, ('PassiveAggresive' , pa)
, ('StochasticGDescent' , sgd)]
mm_skf_scoresD = {}