ddsc 1.0.0

Data-Driven Shock Capturing

# DDSC : DATA-DRIVEN-SHOCK-CAPTURING PACKAGE

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## Description The repository includes follwing features: - to preprocess data - to make artifial neural network model - to train and test the model - to save the model to binary file

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## How to Install (need to edit) –> package 배포 ` conda create --name <env_name> conda activate <env_name> conda install --file requirements.txt conda install pytorch torchvision torchaudio cudatoolkit=11.3 -c pytorch ` If you want to know more about conda (including command line), click [here](https://docs.conda.io/projects/conda/en/latest/user-guide/cheatsheet.html).

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## Prerequisite Packages - Python (ver. 3.8) - PyTorch (ver. 1.11.0) - NumPy (ver. 1.21.5) - Pandas (ver. 1.4.1) - Matplotlib (ver. 3.5.1)

If you want to know more detail, you can see [requirements.txt]. If you have an error message that some packages are not installed although you followed the above manual, you can solve the problem just by installing them. ([hint]: use the “conda install [package name]” command line.)

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## Directory (need to edit) ` ├── data │ ├── train │ ├── test │ └── validation ├── code │ ├── train.py │ ├── classify.py │ ├── model.py │ └── dataset.py └── run.sh `

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