Comments (4)
The simple solution is to just remove the .tolist() method from data['X'] and data['y]
def train_hill_model(df, mc_df, adstock_params, media, sm):
data, sc = create_hill_model_data(df, mc_df, adstock_params, media)
fit = sm.sampling(data=data, iter=2000, chains=4)
fit_result = fit.extract()
hill_model = {
'beta_hill_list': fit_result['beta_hill'].tolist(),
'ec_list': fit_result['ec'].tolist(),
'slope_list': fit_result['slope'].tolist(),
'sc': sc,
'data': {
'X': data['X'],
'y': data['y'],
}
}
return hill_model
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Thanks for pointing out this! Your solution is correct.
tolist() is used to save the model as json file, because arrays cannot be saved as json. I will revise those model saving and loading functions later this weekend.
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No problem! Thanks for putting this together; I've found it quite helpful.
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For the sake of model storage, I still prefer to store data['X'] and data['y'] as lists, so that the hill model can be saved as json using save_json(). I modified evaluate_hill_model(), converting them to arrays.
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