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authorscratko <m@scratko.xyz>2025-08-03 02:28:24 +0300
committerscratko <m@scratko.xyz>2025-08-03 02:56:54 +0300
commitef8a3f6c3e20178ee520f1e6bedbc866e3c9b490 (patch)
treecbdea78c5c54e5dda4a8eb9c8a0d42091a27448c /mymodule.py
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Initial commit: added source code, resources and READMEHEADmaster
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+import numpy as np
+from sklearn_extra.cluster import KMedoids
+from sklearn.svm import OneClassSVM
+
+def featureSelection(x):
+ return np.percentile(x, np.arange(10,100,10))
+
+def MyFunc(t_end):
+ print (t_end)
+ kmedoids = KMedoids (n_clusters = 2, random_state = 0).fit(t_end)
+ result = kmedoids.labels_
+ print(result)
+ return result
+
+def SVM(X):
+ clf = OneClassSVM(kernel = 'rbf', gamma=0.01, nu=0.4).fit(X)
+ print(clf.predict(X))
+
+ \ No newline at end of file