Coverage for tadkit/catalog/learners/_confiance_components/_tdaad_wrapper.py: 14%

1def get_wrapped_topolad_pp(): 

2 """Returns the TADlearner wrapped from the TopologicalAnomalyDetector method of the tdaad framework. 

3 

4 The function is intended for use if the dependency is available. 

5 This plus plus version is meant to remove the explicit heritage (through factory). 

6 """ 

7 

8 from tdaad.anomaly_detectors import TopologicalAnomalyDetector 

9 

10 # We look at constraints and infer distribution as basis for inquiry. 

11 params_description = { 

12 param: description[0] 

13 for param, description in TopologicalAnomalyDetector._parameter_constraints.items() 

14 } 

15 params_description.pop("store_precision") 

16 params_description.pop("assume_centered") 

17 params_description.pop("random_state") 

18 params_description.pop("contamination") 

19 params_description["support_fraction"] = { 

20 "description": "Support fraction for the MinCovDet estimation" 

21 + ":" 

22 + str(params_description["support_fraction"]), 

23 "value_type": "real_range", 

24 "start": 0.01, 

25 "stop": 1.0, 

26 "step": 0.1, 

27 "default": 0.5, 

28 } 

29 params_description["window_size"] = { 

30 "description": "Window size for the time-delay embedding" 

31 + ":" 

32 + str(params_description["window_size"]), 

33 "value_type": "range", 

34 "start": 10, 

35 "stop": 1000, 

36 "step": 10, 

37 "default": 100, 

38 } 

39 params_description["step"] = { 

40 "description": "Step size for the time-delay embedding" 

41 + ":" 

42 + str(params_description["step"]), 

43 "value_type": "range", 

44 "start": 10, 

45 "stop": 100, 

46 "step": 10, 

47 "default": 10, 

48 } 

49 params_description["tda_max_dim"] = { 

50 "description": "Compute persistence in all homology dimension including this tda_max_dim" 

51 + ":" 

52 + str(params_description["tda_max_dim"]), 

53 "value_type": "range", 

54 "start": 0, 

55 "stop": 3, 

56 "step": 1, 

57 "default": 1, 

58 } 

59 params_description["n_centers_by_dim"] = { 

60 "description": "Size of the vectorization per homology dimension" 

61 + ":" 

62 + str(params_description["n_centers_by_dim"]), 

63 "value_type": "range", 

64 "start": 2, 

65 "stop": 20, 

66 "step": 1, 

67 "default": 2, 

68 } 

69 TopologicalAnomalyDetector.params_description = params_description 

70 

71 return TopologicalAnomalyDetector