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fix typos #5

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fix typos #5

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117e152
fix typos
dkozlov Oct 14, 2018
5089851
fix typo
dkozlov Oct 14, 2018
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8 changes: 4 additions & 4 deletions pystacknet/pystacknet.py
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Original file line number Diff line number Diff line change
Expand Up @@ -157,10 +157,10 @@ def __init__(self, models, metric="logloss", folds=3, restacking=False, use_retr
raise Exception("Models has to be a list of sklearn type of models ")
for l in range (len(models)):
if not isinstance(models[l], list):
raise Exception("Each element in the models' list has to be a list . In other words a 2-dimensional list is epected. ")
raise Exception("Each element in the 'models' list has to be a list . In other words a 2-dimensional list is expected. ")
for m in range (len(models[l])):
if not hasattr(models[l][m], 'fit') :
raise Exception("Each model/algorithm needs to implement a 'fit() method ")
raise Exception("Each model/algorithm needs to implement a 'fit()' method ")

if not hasattr(models[l][m], 'predict_proba') and not hasattr(models[l][m], 'predict') and not hasattr(models[l][m], 'transform') :
raise Exception("Each model/algorithm needs to implement at least one of ('predict()','predict_proba()' or 'transform()' ")
Expand Down Expand Up @@ -940,10 +940,10 @@ def __init__(self, models, metric="rmse", folds=3, restacking=False, use_retrain
raise Exception("Models has to be a list of sklearn type of models ")
for l in range (len(models)):
if not isinstance(models[l], list):
raise Exception("Each element in the models' list has to be a list . In other words a 2-dimensional list is epected. ")
raise Exception("Each element in the 'models' list has to be a list . In other words a 2-dimensional list is expected. ")
for m in range (len(models[l])):
if not hasattr(models[l][m], 'fit') :
raise Exception("Each model/algorithm needs to implement a 'fit() method ")
raise Exception("Each model/algorithm needs to implement a 'fit()' method ")

if not hasattr(models[l][m], 'predict_proba') and not hasattr(models[l][m], 'predict') and not hasattr(models[l][m], 'transform') :
raise Exception("Each model/algorithm needs to implement at least one of ('predict()','predict_proba()' or 'transform()' ")
Expand Down