switching to kde

This commit is contained in:
Alejandro Moreo Fernandez 2024-09-27 10:18:20 +02:00
parent 641228bf62
commit 14ff3c9884
2 changed files with 4 additions and 4 deletions

View File

@ -3,7 +3,7 @@ from time import time
import numpy as np
from sklearn.linear_model import LogisticRegression
import quapy as qp
from KDEy.kdey_devel import KDEyMLauto, KDEyMLauto2, KDEyMLred
#from KDEy.kdey_devel import KDEyMLauto, KDEyMLauto2, KDEyMLred
from LocalStack.method import LocalStackingQuantification, LocalStackingQuantification2
from quapy.method.aggregative import PACC, EMQ, KDEyML
from quapy.model_selection import GridSearchQ
@ -123,4 +123,4 @@ if __name__ == '__main__':
csv.write(f'{method_name}\t{dataset}\t{means["mae"]:.5f}\t{means["mrae"]:.5f}\t{means["kld"]:.5f}\t{means["tr_time"]:.3f}\t{means["te_time"]:.3f}\n')
csv.flush()
show_results(global_result_path)
show_results(global_result_path)

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@ -3,7 +3,7 @@ import quapy as qp
from sklearn.multioutput import MultiOutputRegressor
from sklearn.svm import SVR
from data import LabelledCollection
from quapy.data import LabelledCollection
from quapy.method.base import BaseQuantifier
from quapy.method.aggregative import AggregativeSoftQuantifier
@ -109,4 +109,4 @@ class LocalStackingQuantification2(BaseQuantifier):
corrected_prev = reg.predict([pred_prevs])[0]
corrected_prev = self.normalize(corrected_prev)
return corrected_prev
return corrected_prev