Persistable - Persistable 0.5.3

Expose a filtered graph class for persistence-based clustering independently of persistable's choices.

Scientific Software - Peer-reviewed - Python
Published by LuisScoccola almost 2 years ago

Persistable - Persistable 0.5.2

Pin numpy version to be strictly less than 2 for now to address incompatibilities with cython.

Scientific Software - Peer-reviewed - Python
Published by LuisScoccola almost 2 years ago

Persistable - Persistable 0.5.1

Bump sklearn dependency version.

Scientific Software - Peer-reviewed - Python
Published by LuisScoccola over 2 years ago

Persistable - Persistable 0.5.0

• Save session feature to export and import parameters set with the UI.
• Small changes to interface: flattening style and inline app.
• Remove jupyter_dash dependency and rely on dash 2.11 instead.

Scientific Software - Peer-reviewed - Python
Published by LuisScoccola almost 3 years ago

Persistable - Persistable 0.4.6

Pin cython version to be strictly less than 3 for now to address incompatibilities with cython 3.

Scientific Software - Peer-reviewed - Python
Published by LuisScoccola almost 3 years ago

Persistable - Persistable 0.4.5

Fix incompatibility with scikit-learn 1.3.0.

Scientific Software - Peer-reviewed - Python
Published by LuisScoccola almost 3 years ago

Persistable - Persistable 0.4.4

Fix incompatibility with latest dash release (2.9.2).

Scientific Software - Peer-reviewed - Python
Published by LuisScoccola about 3 years ago

Persistable - Persistable 0.4.3

Set flattening with fewer clustered points as default. The current implementation of the clustering resulting in more clustered points is also more unstable, so it won't be the default until that is addressed.

Scientific Software - Peer-reviewed - Python
Published by LuisScoccola about 3 years ago

Persistable - Persistable 0.4.2

• Add parameter selection option using a single line and a persistence diagram.

• Add subsampling feature.

• Add non-conservative flattening procedure, which results in many fewer unclustered points.

• Various performance improvements.

Scientific Software - Peer-reviewed - Python
Published by LuisScoccola about 3 years ago

Persistable - Persistable 0.4.0

• Fix issues pointed out by JOSS reviewers.

• Automatically publish to pypi on new release.

Scientific Software - Peer-reviewed - Python
Published by LuisScoccola about 3 years ago

Persistable - Persistable 0.3.2

fix bugs in and add tests for GUI

Scientific Software - Peer-reviewed - Python
Published by LuisScoccola over 3 years ago

Persistable - 0.3.1

Adds functionality to automatically choose a suitable range for the component counting function.

Scientific Software - Peer-reviewed - Python
Published by LuisScoccola over 3 years ago

Persistable - 0.3

Adds a user interface implemented in Dash. The main functionalities are: - Visualization of component counting function (Hilbert function) - Interactive mode to choose the parameters to compute a vineyard - Visualization of the vineyard - Visualization of barcodes of 1D slices of the vineyard - Export the chosen parameters so they can be used for clustering

Scientific Software - Peer-reviewed - Python
Published by LuisScoccola over 3 years ago

Persistable -

• Add distance matrix option as input.
• Test most functionality.
• Fix bugs in edge cases of persistence diagram and flattening.

Scientific Software - Peer-reviewed - Python
Published by LuisScoccola almost 4 years ago

Persistable - Implement fast MST computation and parameter selection

Much faster MST computation using hdbscan tricks from (https://github.com/scikit-learn-contrib/hdbscan). Parameter selection streamlined and removed overhead due to recomputations.

Scientific Software - Peer-reviewed - Python
Published by LuisScoccola almost 4 years ago