https://github.com/dmitreiro/mlpcp-interp
Study of interpolation applied to datasets on ML for predicting constitutive parameters.
https://github.com/dmitreiro/mlpcp-interp
abaqus-python-script machine-learning python simulation
Last synced: 12 months ago
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Study of interpolation applied to datasets on ML for predicting constitutive parameters.
- Host: GitHub
- URL: https://github.com/dmitreiro/mlpcp-interp
- Owner: dmitreiro
- License: mit
- Created: 2024-10-19T12:24:06.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-05-09T14:24:46.000Z (about 1 year ago)
- Last Synced: 2025-05-09T14:41:36.659Z (about 1 year ago)
- Topics: abaqus-python-script, machine-learning, python, simulation
- Language: Fortran
- Homepage:
- Size: 1.49 MB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# mlpcp-interp
**Machine Learning** for **Prediction** of **Constitutive Parameters** - **Interpolation** study
## :gear: Setup
### Clone
Open terminal, change your current working directory to the location where you want the cloned directory and then clone this repository to your local machine
```
git clone https://github.com/dmitreiro/mlpcp-interp.git
```
### Config
Inside your repository home folder, edit ```config/config.ini``` file to define your paths.
### Environment
Next, install **Anaconda** for managing your Python environments. You can check documentation [here](https://docs.anaconda.com/anaconda/install/).\
After the installation, create an empty environment using **Python 3.11.10**
```
conda create --name python=3.11.10
conda activate
```
Then, navigate to your repository home folder and install dependencies
```
pip install -r requirements.txt
```
### Run your code
Now, you are ready to rock :sunglasses:\
Just run
```
python main.py
```
## :balance_scale: License
This project is licensed under the MIT License, which allows anyone to use, modify, and distribute this software for free, as long as the original copyright and license notice are included. See the [LICENSE](LICENSE) file for more details.