lpcML
LPC ML is a machine learning workflow developed to optimize and analyze the impact of different design parameters on laser power converters (LPCs) solar cells
Installation
In a virtualenv (see these instructions if you need to create one):
pip3 install lpcml
Dependencies
Releases
| Version | Released | Bullseye Python 3.9 |
Bookworm Python 3.11 |
Trixie Python 3.13 |
Files |
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| 0.1.2 | 2025-05-08 | ||||
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| 0.1.1 | 2025-05-06 | ||||
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| 0.1.0 | 2025-04-23 | ||||
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| 0.0.15 | 2025-04-16 | ||||
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| 0.0.14 | 2025-04-14 | ||||
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| 0.0.13 | 2025-04-14 | ||||
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| 0.0.12 | 2025-04-14 | ||||
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| 0.0.11 | 2025-04-11 | ||||
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| 0.0.10 | 2024-05-02 | ||||
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| 0.0.9 | 2024-05-02 | ||||
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| 0.0.8 | 2024-04-30 | ||||
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| 0.0.7 | 2024-04-30 | ||||
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| 0.0.6 | 2024-04-30 | ||||
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| 0.0.5 | 2024-04-30 | ||||
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| 0.0.4 | 2024-04-30 | ||||
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| 0.0.3 | 2024-04-30 | ||||
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| 0.0.2 | 2024-04-29 | ||||
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