add performance check file

examples/perf_check.py

@@ -1,11 +1,6 @@
 # -*- coding: utf-8 -*-
 """Example of combining multiple base outlier scores. Four combination
 frameworks are demonstrated:
-
-1. Average: take the average of all base detectors
-2. maximization : take the maximum score across all detectors as the score
-3. Average of Maximum (AOM)
-4. Maximum of Average (MOA)
 """
 # Author: Yue Zhao <[email protected]>
 # License: BSD 2 clause
@@ -21,13 +16,9 @@
 sys.path.append(
     os.path.abspath(os.path.join(os.path.dirname("__file__"), '..')))
 
-import numpy as np
-from sklearn.model_selection import train_test_split
 from scipy.io import loadmat
 
 from pyod.models.knn import KNN
-from pyod.models.combination import aom, moa, average, maximization, median
-from pyod.utils.utility import standardizer
 from pyod.utils.data import generate_data
 from pyod.utils.data import evaluate_print
 
@@ -39,8 +30,7 @@
     # Generate some data if the source data is missing
 
     for mat_file in file_list:
-        # mat_file = 'cardio.mat'
-        # mat_file = 'letter.mat'
+
         try:
             mat = loadmat(os.path.join('data', mat_file))
 
@@ -56,7 +46,9 @@
             X = mat['X']
             y = mat['y'].ravel()
 
-        clf = KNN()
-        clf.fit(X)
+        clf = KNN() # the algorithm you want to check
+        # clf = KNN_new()
+        clf.fit(X) # fit model
 
+        # print performance
         evaluate_print(mat_file, y, clf.decision_scores_)