python - Sklearn - How to predict probability for all target labels -

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i have data set target variable can have 7 different labels. each sample in training set has 1 label target variable.

for each sample, want calculate probability each of target labels. prediction consist of 7 probabilities each row.

on sklearn website read multi-label classification, doesn't seem want.

i tried following code, gives me 1 classification per sample.

from sklearn.multiclass import onevsrestclassifier clf = onevsrestclassifier(decisiontreeclassifier()) clf.fit(x_train, y_train) pred = clf.predict(x_test)

does have advice on this? thanks!

you can removing onevsrestclassifer , using predict_proba method of decisiontreeclassifier. can following:

clf = decisiontreeclassifier() clf.fit(x_train, y_train) pred = clf.predict_proba(x_test)

this give probability each of 7 possible classes.

hope helps!


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