Hi, I am trying to use Prophet following your tutorial. In your tutorial, there is a code line:
df = model.predict( target_ivs=iv_list, target_cls=cl_list, target_phs=ph_list, iv_col=['iv1', 'iv2'], num_iterations=1, save=False, )
which takes a combination of two perturbations (i.e., 'iv1' and 'iv2') as input. However, my dataset only uses one perturbation for each experiment. When I tried to run the model using only one perturbation column as the following code:
df = model.predict( target_ivs=iv_list, target_cls=cl_list, target_phs=ph_list, iv_col=['iv1'], num_iterations=1, save=False, )
I would encounter an error message below:
ValueError: Are you sure you passed the right number of intervention columns? Currently receiving ['iv1'].
How to use Prophet for prediction when I only have one perturbation for each experiment?
Hi, I am trying to use Prophet following your tutorial. In your tutorial, there is a code line:
df = model.predict( target_ivs=iv_list, target_cls=cl_list, target_phs=ph_list, iv_col=['iv1', 'iv2'], num_iterations=1, save=False, )which takes a combination of two perturbations (i.e., 'iv1' and 'iv2') as input. However, my dataset only uses one perturbation for each experiment. When I tried to run the model using only one perturbation column as the following code:
df = model.predict( target_ivs=iv_list, target_cls=cl_list, target_phs=ph_list, iv_col=['iv1'], num_iterations=1, save=False, )I would encounter an error message below:
ValueError: Are you sure you passed the right number of intervention columns? Currently receiving ['iv1'].
How to use Prophet for prediction when I only have one perturbation for each experiment?