Comments (6)
Please make sure X and y both are data frames, if not, you can make it.
import pandas as pd
X = pd.DataFrame(X)
y = pd.DataFrame(y)
from gml.
after feature engineering i collected X_new, y, test = fe.get_new_data()
and passed X= X_new and y=y then I got an error and I checked X_new, y are data frames and I tried reset _index also
from gml.
try
y = np.array(y)
if dataframe on y is not working
from gml.
ok i got it and how to predict on test data (unseen data)
from gml.
GML provides you the information that which model is performing well, it expects you to import a model from sklearn and train it by yourself after testing all the models in GML.
but will add this functionality in the next update. sorry for inconvenience
from gml.
ok
from gml.
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from gml.