maxfuse.model.Fusor

class maxfuse.model.Fusor(shared_arr1, shared_arr2, active_arr1, active_arr2, method='centroid_shrinkage', labels1=None, labels2=None)[source]

Bases: object

Main object for fitting MaxFuse.

Methods

`construct_graphs`	Construct neighborhood graphs and cluster them as needed.
`filter_bad_matches`	Filter matched pairs of low quality and score each remaining pairs.
`find_initial_pivots`	Perform initial matching.
`get_embedding`	Get CCA embedding.
`get_matching`	Return a copy of the desired matching.
`plot_canonical_correlations`	Perform CCA on active arrays aligned by initial matching, and plot the canonical correlations.
`plot_singular_values`	Plot the singular values of the target array for selection of SVD components.
`propagate`	For indices not in pivots, find their matches by nearest neighbor search.
`refine_pivots`	Perform refined matching.
`split_into_batches`	Split the data into batches.