search

sdtaylor / phenology_dataset_study

1 stars 1 forks source link

breakout models to their own repo #33

Closed sdtaylor closed 6 years ago

sdtaylor commented 6 years ago

Make just the models their own python functions with an api like scikit-learn

uniforc = phenology_models(type='uniforc')
uniforc.fit(temp_data, doy_data, method=['simulated_annealing','basin_hopping','DE'])
uniforc.predict(temp_data)
uniforc.get_params()
uniforc.set_params(**dict of params)
uniforc.score(metric=['aic','r2','rmse'])

built in travis testing installer?

packaging instructions https://python-packaging.readthedocs.io/en/latest/

sdtaylor commented 6 years ago

going good. https://github.com/sdtaylor/pyPhenology