results_cross_val = Result(file_cross_val, "lasso")
##get transformed data
XTrain, XTest = results_cross_val.extract_data_transf()
_,YTrain,_, YTest = results_cross_val.extract_train_test()
### centratura dei dati
XTrain, YTrain, X_mean, y_mean, X_std = center_data(XTrain, YTrain, fit_intercept=True, normalize = True)
XTest, YTest = center_test(XTest,YTest,X_mean,y_mean,X_std)
##ranking
verbose = True
dict_ = results_cross_val.extract_dict()
weights_data = results_cross_val.extract_weights()
index_mse = len(weights_data)-1
weights_data = weights_data[index_mse]
final_weights = np.zeros(len(dict_.keys()))
keys_ = np.array((list)(dict_.keys())).astype("int64")
for key in keys_:
final_weights[key] += np.sum(weights_data[dict_.get(key).astype("int64")])
ordered_final_weights = np.argsort(final_weights)[::-1]
if verbose:
print("-------------")
print("ranking of the featues:", ordered_final_weights)
print("-------------")
XTrain, YTrain, XVal, YVal = results.extract_train_val()
score = "mean_squared_error"
if score=="r2_score":
score_f = r2_score
scoring = "r2"
else:
score_f = mean_squared_error
scoring = "mean_squared_error"
verbose = True
###compute ranking
weights_data = results.extract_weights()
index_mse = len(weights_data) - 1
weights_data = weights_data[index_mse]
weights = assign_weights(weights_data.copy())
keys_ = np.array(list(dict_.keys())).astype("int64")
original_features = len(keys_)
final_weights = np.zeros(original_features)
for key in keys_:
final_weights[key] += np.sum(weights_data[dict_.get(key).astype("int64")])
ordered_final_weights = np.argsort(final_weights)[::-1]
if verbose:
print("-------------")
print("ranking of the featues:", ordered_final_weights)
import numpy as np
import sys
from Enel_utils import find_nearest_turbine, compute_angle
from ExtractResult import Result
from Transformation import Enel_powerCurveTransformation, EnelWindSpeedTransformation, \
Enel_directionVersoPowerCurveTransformation, Enel_directionPowerCurveTransformation
sys.argv[1:3] = [str(x) for x in sys.argv[1:]]
folder_name = sys.argv[1]
filename = sys.argv[2]
compute_dict = (int)(sys.argv[3])
tot_filename = folder_name+"/"+filename
results = Result(tot_filename, "lasso")
weights_list = results.extract_weights()
mses = results.extract_mses()
XTrain_transf, _ = results.extract_data_transf()
XTrain_, YTrain_, XVal_, YVal_ = results.extract_train_val()
saved_indexes_list = results.get_saved_indexes()
XTrain_ValNoCenter, YTrainVal_noCenter, XVal_noCenter,YVal_noCenter = results.extract_train_val_no_centered()
output_dict = results.extract_dict()
file = "ENEL_2014/Enel_dataset.npz"
results = Result(file, "lasso")
XTrain, YTrain, XTest, YTest = results.extract_train_test()
X_speed,_ = EnelWindSpeedTransformation().transform(XTest)
Coord, Coord_turb, power_curve = results.extract_coords()
angles_coord_turb,verso_turb_point = compute_angle(Coord, Coord_turb)
enel_transf = Enel_powerCurveTransformation()
