lnccbrown / lnccbrown/LANfactory

Take stock of all models that currently can't be trained

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#27 0 comments 0 reactions 0 assignees View on GitHub
linear-lanfactory
Dominant language
Python
Stars
16
Forks
4
Avg merge
3d 7h
Merged PRs (30d)
8

Description

Full test run (this might need a bit of an adjustment on the tests), to run through all the models available in `ssm-simulators`.

This is to take stock of all failing models to define next steps.

Contributor guide

No contributing guide indexed for this repository

Research direction

Start by running the full test suite across all models available in `ssm-simulators`, adjusting the tests if required to exercise them consistently. Record which models fail to train and use those failures to define the next steps; completion is a complete inventory of failing models.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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