Update version number and sample

mufs/__init__.py

@@ -1,6 +1,6 @@
 from .Selection import MUFS
 
-__version__ = "0.1.1"
+__version__ = "0.1.2"
 __author__ = "Ricardo Montañana Gómez"
 __author_email__ = "Ricardo.Montanana@alu.uclm.es"
 __copyright__ = "Copyright 2021, Ricardo Montañana Gómez"

sample.py

@@ -1,4 +1,5 @@
 import warnings
+import time
 from mufs import MUFS
 from mufs.Metrics import Metrics
 from stree import Stree
@@ -26,16 +27,26 @@ for i in range(n):
 # Classification
 warnings.filterwarnings("ignore")
 print("CFS")
+now = time.time()
 cfs_f = mufsc.cfs(X, y).get_results()
-print(cfs_f)
+time_cfs = time.time() - now
+print(cfs_f, "items: ", len(cfs_f), f"time: {time_cfs:.3f} seconds")
 print("FCBF")
-fcfb_f = mufsc.fcbf(X, y, 5e-2).get_results()
-print(fcfb_f, len(fcfb_f))
+now = time.time()
+fcbf_f = mufsc.fcbf(X, y, 0.07).get_results()
+time_fcbf = time.time() - now
+print(fcbf_f, "items: ", len(fcbf_f), f"time: {time_fcbf:.3f} seconds")
+now = time.time()
+print("IWSS")
+iwss_f = mufsc.iwss(X, y, 0.5).get_results()
+time_iwss = time.time() - now
+print(iwss_f, "items: ", len(iwss_f), f"time: {time_iwss:.3f} seconds")
 print("X.shape=", X.shape)
 clf = Stree(random_state=0)
 print("Accuracy whole dataset", clf.fit(X, y).score(X, y))
 clf = Stree(random_state=0)
 print("Accuracy cfs", clf.fit(X[:, cfs_f], y).score(X[:, cfs_f], y))
 clf = Stree(random_state=0)
-subf = fcfb_f
-print("Accuracy fcfb", clf.fit(X[:, subf], y).score(X[:, subf], y))
+print("Accuracy fcfb", clf.fit(X[:, fcbf_f], y).score(X[:, fcbf_f], y))
+clf = Stree(random_state=0)
+print("Accuracy iwss", clf.fit(X[:, iwss_f], y).score(X[:, iwss_f], y))