autora-experimentalist-falsification
Advanced tools
The falsification pooler and sampler identify novel experimental conditions $X'$ under which the loss $\hat{\mathcal{L}}(M,X,Y,X')$ of the best candidate model is predicted to be the highest. This loss is approximated with a multi-layer perceptron, which is trained to predict the loss of a candidate model, $M$, given experiment conditions $X$ and dependent measures $Y$ that have already been probed:
$$ \underset{X'}{argmax}~\hat{\mathcal{L}}(M,X,Y,X'). $$
You will need:
python 3.8 or greater: https://www.python.org/downloads/Falsification Experimentalist is a part of the autora package:
pip install -U autora["experimentalist-falsification"]
Check your installation by running:
python -c "from autora.experimentalist.falsification import falsification_pool"
FAQs
AutoRA Falsification Experimentalist
We found that autora-experimentalist-falsification demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
Research
An advanced npm supply chain attack is leveraging Ethereum smart contracts for decentralized, persistent malware control, evading traditional defenses.
Security News
Research
Attackers are impersonating Sindre Sorhus on npm with a fake 'chalk-node' package containing a malicious backdoor to compromise developers' projects.
Security News
The npm package for the LottieFiles Player web component was hit with a supply chain attack after a software engineer's npmjs credentials were compromised.