def test_do_model_predictions():
"""Test model predictions"""
generate_model()
os.rename(pjoin(cfg.MODELS_FOLDER, "TEMP_TEST01_RF.pkl"),
pjoin(cfg.MODELS_FOLDER, "TEST001_RF.pkl"))
for suffix in ["classes.npy", "features.csv"]:
shutil.copy(
pjoin(DATA_PATH, "test_%s" % suffix),
pjoin(cfg.FEATURES_FOLDER, "TEST001_%s" % suffix))
featset_key = "TEST001"
model_type = "RF"
features_to_use = ["std_err", "avg_err", "med_err", "n_epochs", "amplitude"]
data_dict = pred.featurize_tsdata(
pjoin(DATA_PATH, "dotastro_215153.dat"),
"TEST001",
None, None, False,
features_to_use, False)
print(data_dict)
pred_results_dict = pred.do_model_predictions(data_dict, featset_key,
model_type, features_to_use,
5)
assert("dotastro_215153" in pred_results_dict)
assert("std_err" in
pred_results_dict["dotastro_215153"]["features_dict"])
assert(all(all(el[0] in ['Mira', 'Herbig_AEBE', 'Beta_Lyrae',
'Classical_Cepheid', 'W_Ursae_Maj', 'Delta_Scuti']
for el in pred_results_dict[fname]\
["pred_results_list"]) for fname in pred_results_dict))
def test_featurize_tsdata():
"""Test featurize_tsdata"""
res_dict = pred.featurize_tsdata(
pjoin(DATA_PATH, "dotastro_215153.dat"),
"TEMP_TEST01",
None, None, False,
['std_err'], False)
assert all("std_err" in d["features_dict"]
for fname, d in res_dict.items())
assert all("ts_data" in d for fname, d in res_dict.items())
