DeepOD
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Deep learning-based outlier/anomaly detection
1. about the train process, why in deepod there is no validation dataset? 2. for the decision function ``` clf = ... clf.fit(X_train) scores = clf.decision_function(X_test) ``` then i use...
Can I complete model onnx deployment using only this tool?
To reproduce: ```python #!/usr/bin/env python3 import numpy from deepod.models.time_series.dif import DeepIsolationForestTS arr = numpy.empty(shape=(33, 741)) arr.fill(1.0) # Also reproduces the issue: # arr = numpy.random.rand(33, 741) dif = DeepIsolationForestTS(device=None, seq_len=min(arr.shape[0],...
To reproduce: ```cpp #!/usr/bin/env python3 import numpy from deepod.models.time_series.dif import DeepIsolationForestTS arr = numpy.empty(shape=(3, 3)) arr.fill(1.0) dif = DeepIsolationForestTS(device=None) dif.fit(arr) ``` Error message: ``` Traceback (most recent call last): File...