LSTM-AD von Syn Extreme Outliers (mis=0.025)
WGierke opened this issue · comments
Willi Gierke commented
2018-06-28 11:03:43 [ERROR] src.evaluation.evaluator: Traceback (most recent call last):
File "/repo/src/evaluation/evaluator.py", line 72, in evaluate
score = det.predict(X_test)
File "/repo/src/algorithms/lstm_ad.py", line 99, in predict
scores = -multivariate_normal.logpdf(norm, mean=self.mean, cov=self.cov, allow_singular=True)
File "/usr/local/lib/python3.6/dist-packages/scipy/stats/_multivariate.py", line 487, in logpdf
psd = _PSD(cov, allow_singular=allow_singular)
File "/usr/local/lib/python3.6/dist-packages/scipy/stats/_multivariate.py", line 152, in __init__
s, u = scipy.linalg.eigh(M, lower=lower, check_finite=check_finite)
File "/usr/local/lib/python3.6/dist-packages/scipy/linalg/decomp.py", line 374, in eigh
a1 = _asarray_validated(a, check_finite=check_finite)
File "/usr/local/lib/python3.6/dist-packages/scipy/_lib/_util.py", line 238, in _asarray_validated
a = toarray(a)
File "/usr/local/lib/python3.6/dist-packages/numpy/lib/function_base.py", line 1233, in asarray_chkfinite
"array must not contain infs or NaNs")
ValueError: array must not contain infs or NaNs