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https://github.com/Doctorado-ML/benchmark.git
synced 2025-08-16 16:05:54 +00:00
Add alternative path to data
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@@ -28,15 +28,26 @@ class Diterator:
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class Datasets:
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def __init__(self):
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with open(os.path.join(Folders.data, Files.index)) as f:
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self.data_sets = f.read().splitlines()
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try:
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with open(os.path.join(Folders.data, Files.index)) as f:
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self.data_sets = f.read().splitlines()
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except FileNotFoundError:
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with open(os.path.join("..", Folders.data, Files.index)) as f:
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self.data_sets = f.read().splitlines()
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def load(self, name):
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data = pd.read_csv(
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os.path.join(Folders.data, Files.dataset(name)),
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sep="\t",
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index_col=0,
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)
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try:
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data = pd.read_csv(
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os.path.join(Folders.data, Files.dataset(name)),
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sep="\t",
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index_col=0,
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)
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except FileNotFoundError:
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data = pd.read_csv(
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os.path.join("..", Folders.data, Files.dataset(name)),
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sep="\t",
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index_col=0,
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)
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X = data.drop("clase", axis=1).to_numpy()
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y = data["clase"].to_numpy()
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return X, y
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45
src/td.py
Normal file
45
src/td.py
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@@ -0,0 +1,45 @@
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import sys
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import time
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from Experiments import Datasets
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from mufs import MUFS
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mufs_i = MUFS()
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mufs_c = MUFS()
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mufs_f = MUFS()
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datasets = Datasets()
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iwss_t = iwss_tl = cfs_t = cfs_tl = fcbf_t = fcbf_tl = 0
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for i in datasets:
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X, y = datasets.load(i)
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now = time.time()
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mufs_i.iwss(X, y, float(sys.argv[1]))
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iwss = time.time() - now
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iwss_r = len(mufs_i.get_results())
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now = time.time()
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mufs_c.cfs(X, y)
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cfs = time.time() - now
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cfs_r = len(mufs_c.get_results())
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now = time.time()
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mufs_f.fcbf(X, y, 1e-5)
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fcbf = time.time() - now
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fcbf_r = len(mufs_f.get_results())
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print(
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f"{i:30s} {iwss:.4f}({iwss_r:2d}) {cfs:.4f}({cfs_r:2d}) {fcbf:.4f}"
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f"({fcbf_r:2d})"
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)
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iwss_t += iwss
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iwss_tl += iwss_r
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cfs_t += cfs
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cfs_tl += cfs_r
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fcbf_t += fcbf
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fcbf_tl += fcbf_r
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num = len(list(datasets))
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iwss_t /= num
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iwss_tl /= num
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cfs_t /= num
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cfs_tl /= num
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fcbf_t /= num
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fcbf_tl /= num
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print(
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f"{'Average ..: ':30s} {iwss_t:.4f}({iwss_tl:.2f}) {cfs_t:.4f}"
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f"({cfs_tl:.2f}) {fcbf_t:.4f}({fcbf_tl:.2f})"
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)
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