uniqed.runners package¶
Submodules¶
uniqed.runners.tof_run module¶
- uniqed.runners.tof_run.detect_outlier(time_series, cutoff_n=1.0, k=None, in_percent=False, embedding_dimension=3, embedding_delay=1, **other_method_kwargs)¶
Detects outliers with TOF
- Parameters
time_series (pandas.DataFrame) – pandas dataframe with the time series
cutoff_n (float) – the threshold for the detector (max event length, or % of #datapoints)
k (int) – numbert of neighbors to use (default is embedding)dimension+1)
in_percent (bool) – if True then the threshold is draw at the given percentage not in event length
embedding_dimension (int) – embedding dimension value (>=1) [default: 3]
embedding_delay (int) – embedding delay (>=1) [default: 1]
- Returns
result DataFrame
- Return type
pandas.DataFrame