This is a follow-up release on experimental support for building rule-based models to enable interpretability both at the Global and Local scope. More improved docs with a section on Jupyter Notebook highlighting different supported algorithms. More improvement in planned in the subsequent release. Stay tuned
The potential for model–data synthesis is growing in impor-tance as we enter an era of ‘big data’, g...
What's Changed Fix binder badges and citation via CITATION.cff by @acocac in https://github.com/al...
Simulated data used in the driverMAPS paper: this dataset contains the simulated mutation data use...
New Features: Added new interface skater.core.local_interpretation.dnni.deep_interpreter.DeepInterp...
Support for Tree Surrogates for explanations(Experimental) Bug-fixes Updated notebooks example
This is the first release, including all files & scripts to reproduce the figures
This release includes substancial changes with improved features and new executable and plain conten...
The documentation practice for machine-learned (ML) models often falls short of established practice...
What's changed UrbanDenoiser (https://doi.org/10.1126/sciadv.abl3564) is now available in SeisBench...
We present DATASET EVOLVER, an interactive Jupyter notebook-based tool to support data scientists pe...
First release of version 1.0. Significant changes from previous versions. MIST models are now avai...
Background A useful model is one that is being (re)used. The development of a successful model does ...
This is a Whitepaper submitted to the 2017 DOE ASCR Applied Math Meeting. It addresses research topi...
Change relatively to version 1.2.1 This release has fixed some several issues as well as gaining som...
After a year of research use and updates, UCIMerge has finally earned its first major version number...
The potential for model–data synthesis is growing in impor-tance as we enter an era of ‘big data’, g...
What's Changed Fix binder badges and citation via CITATION.cff by @acocac in https://github.com/al...
Simulated data used in the driverMAPS paper: this dataset contains the simulated mutation data use...
New Features: Added new interface skater.core.local_interpretation.dnni.deep_interpreter.DeepInterp...
Support for Tree Surrogates for explanations(Experimental) Bug-fixes Updated notebooks example
This is the first release, including all files & scripts to reproduce the figures
This release includes substancial changes with improved features and new executable and plain conten...
The documentation practice for machine-learned (ML) models often falls short of established practice...
What's changed UrbanDenoiser (https://doi.org/10.1126/sciadv.abl3564) is now available in SeisBench...
We present DATASET EVOLVER, an interactive Jupyter notebook-based tool to support data scientists pe...
First release of version 1.0. Significant changes from previous versions. MIST models are now avai...
Background A useful model is one that is being (re)used. The development of a successful model does ...
This is a Whitepaper submitted to the 2017 DOE ASCR Applied Math Meeting. It addresses research topi...
Change relatively to version 1.2.1 This release has fixed some several issues as well as gaining som...
After a year of research use and updates, UCIMerge has finally earned its first major version number...
The potential for model–data synthesis is growing in impor-tance as we enter an era of ‘big data’, g...
What's Changed Fix binder badges and citation via CITATION.cff by @acocac in https://github.com/al...
Simulated data used in the driverMAPS paper: this dataset contains the simulated mutation data use...