AutoRA Falsification Experimentalist
Project description
AutoRA Falsification Experimentalist
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:
$$ \underset{X'}{argmax}~\hat{\mathcal{L}}(M,X,Y,X'). $$
Quickstart Guide
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.pooler.falsification import falsification_pooler"
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