Alter Fit Convention

[vc1492a]

Provide parameters in LocalOutlierProbability() and provide data in fit() as opposed to providing data in LocalOutlierProbability() along with params. This is s.t. PyNomaly is more in line with scikit-learn and other popular libraries.

[vc1492a]

More specifically and as an update, the following parameters could stay in the LocalOutlierProbability() method:

• extent
• n_neighbors

And any data-related parameters that may change from execution to execution (such in the case of inference) could instead be passed to the fit() method:

• data
• distance_matrix
• neighbor_matrix
• use_numba
• progress_bar

[vc1492a]

See NetworkX implementation.