From 8d7244b510eee0d7927c521117198ef286028acf Mon Sep 17 00:00:00 2001 From: Vincent Rouvreau Date: Mon, 20 Jun 2022 17:07:51 +0200 Subject: code review: rename homology_dimensions argument. Use and document numpy reshape instead of cubical dimension argument --- src/python/doc/cubical_complex_sklearn_itf_ref.rst | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) (limited to 'src/python/doc/cubical_complex_sklearn_itf_ref.rst') diff --git a/src/python/doc/cubical_complex_sklearn_itf_ref.rst b/src/python/doc/cubical_complex_sklearn_itf_ref.rst index 8248343b..94862541 100644 --- a/src/python/doc/cubical_complex_sklearn_itf_ref.rst +++ b/src/python/doc/cubical_complex_sklearn_itf_ref.rst @@ -54,10 +54,10 @@ two holes in :math:`\mathbf{H}_1`, or, like in this example, three connected com X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.4, random_state=0) pipe = Pipeline( [ - ("cub_pers", CubicalPersistence(persistence_dimension=0, newshape=[28, 28], n_jobs=-2)), + ("cub_pers", CubicalPersistence(homology_dimensions=0, newshape=[28, 28], n_jobs=-2)), # Or for multiple persistence dimension computation - # ("cub_pers", CubicalPersistence(persistence_dimension=[0, 1], newshape=[28, 28], n_jobs=-2)), - # ("H0_diags", DimensionSelector(index=0), # where index is the index in persistence_dimension array + # ("cub_pers", CubicalPersistence(homology_dimensions=[0, 1], newshape=[28, 28], n_jobs=-2)), + # ("H0_diags", DimensionSelector(index=0), # where index is the index in homology_dimensions array ("finite_diags", DiagramSelector(use=True, point_type="finite")), ( "pers_img", -- cgit v1.2.3