load_model not working without setup in time_series module #1558
Description
This is a critical bug.
TRAINING PHASE
from pycaret.datasets import get_data
data = get_data('airline')
from pycaret.time_series import *
s = setup(data, fold = 5, fh = 12, session_id = 123)
best = compare_models()
save_model(best, 'best-model')
It works fine. Model is saved. The problem happens during prediction. See below:
PREDICTION PHASE (IN NEW NOTEBOOK)
from pycaret.time_series import load_model
l = load_model('best-model')
ValueError: _CURRENT_EXPERIMENT global variable is not set. Please run setup() first.