I'm trying to making predictions with a simple model.
After fitting, i try to make predictions. A sample X_test value and the code is below.
X_train array([-0.53668182, 0.57287544, -1.48834257, -0.6080626 , -0.86691148, 0.24336571, 0. , 0.53303864, -0.05081621, 0.17409271, -0.21513622, -1.15424615, 0.74731522, 1.47161341])
The model fits in like 5 seconds. After below code is executed, when it gets to %5 or %6 it stops for a long time (the last stop point was 39938/326232). Sometimes kernel dies, sometimes it just stops. It stops at random row btw.
test['Predicted'] = test.progress_apply(lambda x: model.predict(X_train) ,axis=1)
I have updated all python libraries and try this code on both a windows and mac m1 machine. The result is the same.
What is the problem? I cant figure it out.