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some plots

This commit is contained in:
Alejandro Moreo Fernandez 2024-09-16 17:50:34 +02:00
parent ede214aa54
commit faba2494b2
1 changed files with 10 additions and 4 deletions
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KDEy/experiments.py
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@ -1,3 +1,5 @@
import os
import numpy as np import numpy as np
from sklearn.linear_model import LogisticRegression from sklearn.linear_model import LogisticRegression
from os.path import join from os.path import join
@ -5,7 +7,7 @@ import quapy as qp
from quapy.protocol import UPP from quapy.protocol import UPP
from quapy.method.aggregative import KDEyML from quapy.method.aggregative import KDEyML
DEBUG = True DEBUG = False
qp.environ["SAMPLE_SIZE"] = 100 if DEBUG else 500 qp.environ["SAMPLE_SIZE"] = 100 if DEBUG else 500
val_repeats = 100 if DEBUG else 500 val_repeats = 100 if DEBUG else 500
@ -21,7 +23,7 @@ if DEBUG:
bandwidth_range = np.linspace(0.01, 0.20, 10) bandwidth_range = np.linspace(0.01, 0.20, 10)
def datasets(): def datasets():
for dataset_name in qp.datasets.UCI_MULTICLASS_DATASETS[:4]: for dataset_name in qp.datasets.UCI_MULTICLASS_DATASETS:
dataset = qp.datasets.fetch_UCIMulticlassDataset(dataset_name) dataset = qp.datasets.fetch_UCIMulticlassDataset(dataset_name)
if DEBUG: if DEBUG:
dataset = dataset.reduce(random_state=0) dataset = dataset.reduce(random_state=0)
@ -40,7 +42,8 @@ def experiment_dataset(dataset):
param_grid={'bandwidth': bandwidth_range}, param_grid={'bandwidth': bandwidth_range},
protocol=UPP(train_va, repeats=val_repeats), protocol=UPP(train_va, repeats=val_repeats),
refit=False, refit=False,
n_jobs=-1 n_jobs=-1,
verbose=True
).fit(train_tr) ).fit(train_tr)
chosen_bandwidth = modsel.best_params_['bandwidth'] chosen_bandwidth = modsel.best_params_['bandwidth']
modsel_choice = float(chosen_bandwidth) modsel_choice = float(chosen_bandwidth)
@ -83,7 +86,10 @@ def plot_bandwidth(val_choice, test_results):
# Mostrar la gráfica # Mostrar la gráfica
plt.grid(True) plt.grid(True)
plt.show() # plt.show()
os.makedirs('./plots', exist_ok=True)
plt.savefig(f'./plots/{dataset_name}.png')
for dataset in datasets(): for dataset in datasets():