gtda.mapper: Mapper

Filters

mapper.Projection([columns])	Projection onto specified columns.
mapper.Eccentricity([exponent, metric, …])	Eccentricities of points in a point cloud or abstract metric space.
mapper.Entropy()	Entropy of rows in a two-dimensional array.

Covers

mapper.OneDimensionalCover([kind, …])	Cover of one-dimensional data coming from open overlapping intervals.
mapper.CubicalCover([kind, n_intervals, …])	Cover of multi-dimensional data coming from overlapping hypercubes (technically, parallelopipeds) given by taking products of one-dimensional intervals.

Clustering

mapper.FirstSimpleGap([linkage, affinity, …])	Agglomerative clustering cutting the dendrogram at the first instance of a sufficiently large gap.
mapper.FirstHistogramGap([linkage, …])	Agglomerative clustering with stopping rule given by a histogram-based version of the first gap method, introduced in [1]_.
mapper.ParallelClustering(clusterer[, …])	Employ joblib parallelism to cluster different portions of a dataset.

Nerve (graph construction)

mapper.Nerve([min_intersection, …])

1-skeleton of the nerve of a refined Mapper cover, i.e.

Pipeline

mapper.make_mapper_pipeline([scaler, …])

Construct a MapperPipeline object according to the specified Mapper steps [1]_.

mapper.pipeline.MapperPipeline(**kwargs)

Subclass of sklearn.pipeline.Pipeline to deal with pipelines generated by make_mapper_pipeline.

Visualization

mapper.plot_static_mapper_graph(pipeline, data)	Plot Mapper graphs without interactivity on pipeline parameters.
mapper.plot_interactive_mapper_graph(…[, …])	Plot Mapper graphs with interactivity on pipeline parameters.

Utilities

mapper.method_to_transform(cls, method_name)	Wrap a class to add a transform method as an alias to an existing method.
mapper.transformer_from_callable_on_rows(func)	Construct a transformer from a callable acting on 1D arrays.