materialsML
A Machine Learning package for materials informatics. A crafty data analysis complement to the materials database from The Materials Project
Getting Started
Local Installation and Usage
pip install materialsml
It is recommended to run this package using a virtualenv virtual environment. To do so, follow the below simple protocol to create the virtual environment, run it, and install the package there:
virtualenv venv
source venv/bin/activate
pip install materialsml
python [your-script.py]
To exit the virtual environment, simply type deactivate. To access it at any other time, type source venv/bin/activate on the directory containing the venv folder.
viewer (in development)
Disclaimer: Use At Your Own Risk
This program is free software. It comes without any warranty, to the extent permitted by applicable law. You can redistribute it and/or modify it under the terms of the MIT LICENSE, as published by Andrew Garcia. See LICENSE below for more details.
MIT license Copyright 2023 © Andrew Garcia.
Metadata
Release files for materialsml 0.3.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| materialsml-0.3.1.tar.gz | 12.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| materialsml-0.3.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 25.9 kB
Release files / materialsml-0.3.1.tar.gz
| Download URL | materialsml-0.3.1.tar.gz |
|---|---|
| Size | 12.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.3.2 CPython/3.8.3 Linux/5.15.0-58-generic
|
Release files / materialsml-0.3.1-py3-none-any.whl
| Download URL | materialsml-0.3.1-py3-none-any.whl |
|---|---|
| Size | 13.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.3.2 CPython/3.8.3 Linux/5.15.0-58-generic
|