"type": "lin",
"method": "classic",
"bounds": [[-np.inf, np.inf]]
}
# 1 Classic
for cir_var in cir_group:
var_desc[cir_var] = {
"type": "lin",
"method": "classic",
"bounds": [[-np.inf, np.inf]]
}
_, a = cxval_test(df,
class_var,
var_desc,
100,
seed=1)
rmse_a.append(a)
# 2 Our
for cir_var in cir_group:
var_desc[cir_var] = {
"type": "cir",
"method": "classic",
"bounds": [[-np.inf, np.inf]]
}
_, b = cxval_test(df,
class_var,
var_desc,
rmse_a, rmse_b, rmse_c = [], [], []
for name in names:
df = pd.read_csv("./datasets/{}_clean.csv".format(name))
var_desc = {}
for lin_var in lin_group:
var_desc[lin_var] = {"type": "lin", "method": "classic", "bounds": [[-np.inf, np.inf]]}
# 1 Classic
for cir_var in cir_group:
var_desc[cir_var] = {"type": "lin", "method": "classic", "bounds": [[-np.inf, np.inf]]}
_, a = cxval_test(df, class_var, var_desc, 100, seed=1)
rmse_a.append(a)
# 2 Our
for cir_var in cir_group:
var_desc[cir_var] = {"type": "cir", "method": "classic", "bounds": [[-np.inf, np.inf]]}
_, b = cxval_test(df, class_var, var_desc, 100, seed=1)
rmse_b.append(b)
# 3 Lund
for cir_var in cir_group:
var_desc[cir_var] = {"type": "cir", "method": "subset", "bounds": [[-np.inf, np.inf]]}
_, c = cxval_test(df, class_var, var_desc, 100, seed=1)
rmse_c.append(c)
for bin_size in [50, 100, 250, 500, 1000, 2500]:
rmse_a, rmse_b, rmse_c = [], [], []
time_a, time_b, time_c = [], [], []
df = pd.read_csv("./datasets/{}_clean.csv".format(name))
var_desc = {}
for lin_var in lin_group:
var_desc[lin_var] = {"type": "lin", "method": "classic", "bounds": [[-np.inf, np.inf]]}
# 1 Classic
for cir_var in cir_group:
var_desc[cir_var] = {"type": "lin", "method": "classic", "bounds": [[-np.inf, np.inf]]}
time1 = time.time()
_, a = cxval_test(df, class_var, var_desc, bin_size, seed=1)
time_a.append(time.time()-time1)
rmse_a.append(a)
# 2 Our
for cir_var in cir_group:
var_desc[cir_var] = {"type": "cir", "method": "classic", "bounds": [[-np.inf, np.inf]]}
time1 = time.time()
_, b = cxval_test(df, class_var, var_desc, bin_size, seed=1)
time_b.append(time.time()-time1)
rmse_b.append(b)
# 3 Lund
for cir_var in cir_group:
var_desc[cir_var] = {"type": "cir", "method": "subset", "bounds": [[-np.inf, np.inf]]}
var_desc[lin_var] = {
"type": "lin",
"method": "classic",
"bounds": [[-np.inf, np.inf]]
}
# 1 Classic
for cir_var in cir_group:
var_desc[cir_var] = {
"type": "lin",
"method": "classic",
"bounds": [[-np.inf, np.inf]]
}
time1 = time.time()
_, a = cxval_test(df, class_var, var_desc, bin_size, seed=1)
time_a.append(time.time() - time1)
rmse_a.append(a)
# 2 Our
for cir_var in cir_group:
var_desc[cir_var] = {
"type": "cir",
"method": "classic",
"bounds": [[-np.inf, np.inf]]
}
time1 = time.time()
_, b = cxval_test(df, class_var, var_desc, bin_size, seed=1)
time_b.append(time.time() - time1)
rmse_b.append(b)
