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vatsalsharan / pidforest

Code for the PIDForest algorithm for anomaly detection
MIT License
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need a non existing thereshold #9

Open londumas opened 4 years ago

londumas commented 4 years ago

In /code/synthetic_experiments/mixture_noisy.ipynb

---------------------------------------------------------------------------
KeyError                                  Traceback (most recent call last)
<ipython-input-9-36146f7a43bc> in <module>()
      9         t_indices = get_truth(pts, means, covs)
     10         iso_indices = get_iso(noisy_pts)
---> 11         gsw_indices = get_density(noisy_pts)
     12         em_indices = get_em(noisy_pts, n_Gaussians)
     13         us = len(set(t_indices).intersection(set(gsw_indices)))

<ipython-input-6-0ae6d3397a6f> in get_density(noisy_pts)
     23     _, n_p = np.shape(noisy_pts)
     24     kwargs = {'max_depth': 20, 'n_trees':int(n_p / 50),  'max_samples': 100, 'max_buckets': 2, 'epsilon': 0.1, 'sample_axis': 1}
---> 25     forest = Forest(**kwargs)
     26     forest.fit(noisy_pts)
     27     gsw_indices, outliers, scores , pst = forest.predict(noisy_pts, 0.1)

<HOME>/pidforest/code/scripts/forest.py in __init__(self, **kwargs)
     30         self.epsilon = kwargs['epsilon']
     31         self.sample_axis = kwargs['sample_axis']
---> 32         self.threshold = kwargs['threshold']
     33         self.tree = []
     34         # np.random.seed(seed = 17)

KeyError: 'threshold'