New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

method predict gives values higher than 1 #57

Open

veseliy opened this issue Oct 15, 2020 · 0 comments

veseliy commented Oct 15, 2020 •

edited

Loading

Here is the merf model, that gives prob higher than one
zeroes_zf_m.pickle.zip

X = np.array([[0., 0., 0., 1., 0., 1., 0., 0., 0., 0., 1., 0., 0., 0., 1.]])
with open('zeroes_zf_m.pickle', 'rb') as f:
    merf_model = pkl.load(f)
    
print(model.predict(X, Z=[[1]], clusters=pd.Series(42)), model.predict(X, Z=[[1]], clusters=pd.Series('42')))

Is it correct? My opinion that probs must be [0,1]

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment