def get(self, tkr,yrs):
features0_s = fl.request.args.get('features', 'pct_lag1,slope3,dow')
features_s = pgdb.check_features(features0_s)
hl_s = fl.request.args.get('hl', '2') # default 2
neurons_s = fl.request.args.get('neurons', '4') # default 4
hl_i = int(hl_s)
neurons_i = int(neurons_s)
out_df = kerastkr.learn_predict_kerasnn_tkr(tkr, yrs, features_s, hl_i, neurons_i)
out_d = get_out_d(out_df)
return {'predictions': out_d}
def get(self, tkr,yrs,features):
features_s = pgdb.check_features(features)
out_df = kerastkr.learn_predict_keraslinear_tkr(tkr, yrs, features_s)
out_d = get_out_d(out_df)
return {'predictions': out_d}
def get(self, tkr,yrs,yr,features):
features_s = pgdb.check_features(features)
out_df = sktkr.learn_predict_sklinear_yr(tkr, yrs, yr, features_s)
out_d = get_out_d(out_df)
return {'predictions': out_d}