def run_all_misc_clustering(
rad,
date_range,
boxcox=False,
norm=True,
params=["bmnum", "slist", "elv", "time_index", "v", "w_l"],
methods=["bang", "clique"]):
"""
Invoke all misc clustering algorithm
rad: Radar code
date_range: Date range
"""
fd = FetchData(rad, date_range)
beams, _ = fd.fetch_data(
v_params=["elv", "v", "w_l", "gflg", "p_l", "slist", "v_e"])
rec = fd.convert_to_pandas(beams)
rec["time_index"] = utils.time_days_to_index(
[x.to_pydatetime() for x in rec["time"].tolist()])
if boxcox: rec = utils.boxcox_tx(rec)
if norm: rec = utils.normalize(rec, params)
print("\n", rec.head())
for method in methods:
print("\n >> Running {c} clustering".format(c=method))
model = Misc(method, rec[params].values)
model.setup()
model.run()
print("\n Estimating model skills.")
skill = Skills(model.data, model.obj.labels_)
return
