camd is software designed to support Computational Autonomy for Materials Discovery based on ongoing work led by the Toyota Research Institute.
camd enables the construction of sequential learning pipelines using a set of abstractions that include
- Agents - decision making entities which select experiments to run from pre-determined candidate sets
- Experiments - experimental procedures which augment candidate data in a way that facilitates further experiment selection
- Analyzers - Post-processing procedures which frame experimental results in the context of candidate or seed datasets
In addition to these abstractions, camd provides a loop construct which executes the sequence of hypothesize-experiment-analyze by the Agent, Experiment, and Analyzer, respectively. Simulations of agent performance can also be conducted using after the fact sampling of known data.
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Release files for camd 2022.8.24
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| camd-2022.8.24.tar.gz | 79.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| camd-2022.8.24-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 173.9 kB
Release files / camd-2022.8.24.tar.gz
| Download URL | camd-2022.8.24.tar.gz |
|---|---|
| Size | 79.7 kB |
| Tags | Source |
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Release files / camd-2022.8.24-py3-none-any.whl
| Download URL | camd-2022.8.24-py3-none-any.whl |
|---|---|
| Size | 94.3 kB |
| Tags | Python 3 |
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twine/4.0.1 CPython/3.9.12
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