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+--- Thread: GradientBoostingClassifier and hashed values (/thread-7633.html)
GradientBoostingClassifier and hashed values - metalray - Jan-18-2018
Hi,
I noticed that my GradientBoostingClassifier treats my hash content as values and not
as class. Why would that be?
test_df['agency_name'] = test_df['agency_name'].apply(hash) test_df['inspector_name'] = test_df['inspector_name'].apply(hash) test_df.fillna(value=0, inplace=True) X_train, X_test, y_train, y_test = train_test_split(test_df.iloc[:,:-1], test_df.iloc[:,-1], random_state=0) clftwo = GradientBoostingClassifier(random_state = 0) clftwo.fit(X_train1, y_train1)
RE: GradientBoostingClassifier and hashed values - nilamo - Jan-18-2018
Is that from some sort of package? What's a GradientBoostingClassifier?
RE: GradientBoostingClassifier and hashed values - metalray - Jan-22-2018
Hi nilamo,
its a method in machine learning to classify information to see if they are of use or not.
from sklearn.ensemble import GradientBoostingClassifier