From 4ff88087629da897fbbbf80f1b6f4bc86a0d32bb Mon Sep 17 00:00:00 2001 From: Brendt Wohlberg Date: Mon, 1 Mar 2021 19:33:55 -0700 Subject: [PATCH] Update meta.yaml --- recipe/meta.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/recipe/meta.yaml b/recipe/meta.yaml index 4b23bdf..cce4e50 100644 --- a/recipe/meta.yaml +++ b/recipe/meta.yaml @@ -11,7 +11,7 @@ source: sha256: 43fc008fdbe0c1db4a7c0d92f217de495bc5eff070ab73374cea86b736fcd9b9 build: - number: 0 + number: 1 script: {{ PYTHON }} -m pip install . --no-deps -vv requirements: @@ -44,7 +44,7 @@ about: license: BSD-3-Clause license_family: BSD license_file: LICENSE - summary: 'Sparse Optimisation Research Code: A Python package for sparse coding a nd dictionary learning' + summary: 'Sparse Optimisation Research Code: A Python package for sparse coding and dictionary learning' description: | SPORCO is a Python package for solving optimisation problems with sparsity-inducing regularisation. These consist primarily of sparse @@ -53,7 +53,7 @@ about: other problems such as Total Variation regularisation and Robust PCA. The optimisation algorithms in the current version are based on the Alternating Direction Method of Multipliers (ADMM) or on - the Fast Iterative Shrinkage-Thresholding Algorithm (FISTA). + the Proximal Gradient Method (PGM). doc_url: https://sporco.readthedocs.io/en/latest/ dev_url: https://github.com/bwohlberg/sporco