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dymoval-0.8.3
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مشاهده بیشترتوضیحات
Dymoval is a Python package for validating models and analyzing datasets.
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | dymoval-0.8.3 |
| نام | dymoval |
| نسخه کتابخانه | 0.8.3 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | - |
| ایمیل نویسنده | Ubaldo Tiberi <ubaldo.tiberi@volvo.com>, Ubaldo Tiberi <ubaldo.tiberi@gmail.com> |
| آدرس صفحه اصلی | - |
| آدرس اینترنتی | https://pypi.org/project/dymoval/ |
| مجوز | BSD 3-Clause License Copyright (c) 2022, Volvo Autonomous Solutions (Official) All rights reserved. Author: Ubaldo Tiberi Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. |
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<img src="https://github.com/VolvoGroup/dymoval/blob/main/docs/source/figures/DymovalLogo.svg" data-canonical-src="[https://github.com/VolvoGroup/dymoval/blob/main/docs/source/figures/DymovalLogo.svg](https://github.com/VolvoGroup/dymoval/blob/main/docs/source/figures/DymovalLogo.svg)" width="800" class="center" />
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### Build status
### Tools
[](https://github.com/pypa/hatch)
[](https://pypi.org/project/flake8)
[](https://github.com/python/mypy)
[](https://github.com/pytest-dev/pytest)
[](https://github.com/psf/black)
[](https://github.com/sphinx-doc/sphinx)
-----
## What is it?
**Dymoval** (**Dy**namic **Mo**del **Val**idation) is a Python package for analyzing *datasets* and validate *models*.
It does not matter if your model is a Deep Neural Network, an ODE or something more complex, nor it is important if you use Modelica or Simulink or whatever as modeling tool.
All you need to do is to feed *Dymoval* with real-world measurements and model-generated data and you will get a model quality evaluation in terms of r-squared fit, residuals norms and coverage region.
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If you are developing your models in a CI/CD environment, then *Dymoval* can help you in deciding if merging or not the latest model changes.
In-fact, *Dymoval* functions can also be included in development pipelines scripts, so the whole CI/CD process can be fully automatized.
*Dymoval* finally provides you with some essential functions for dealing with dataset analysis and manipulation.
Although the tool has been thought with engineers in mind, no one prevents you to use it in other application domains.
## Main Features
**Datasets analysis and manipulation**
- Time and frequency analysis
- Physical units
- Easy plotting of signals
- Missing data handling
- Linear filtering
- Means and offsets removal
- Re-sampling
**Model validation**
- Validation metrics:
- R-square fit
- Residuals auto-correlation
- Input-Residuals cross-correlation
- Coverage region
- Enable model unit-tests
- Work for both SISO and MIMO models
- Modeling tool independence
- Easily integrate with CI/CD pipelines.
## Installation
By running
pip install dymoval
everything should work, but there are few things to keep in mind.
Typically `conda` handles scientific packages better than `pip`, and given that many *dymoval* dependencies are scientific packages, it is suggested to install all the dependencies through `conda` and then to install *dymoval* through `pip`.
To do that, download the `environment.yml` file from [here](https://github.com/VolvoGroup/dymoval/blob/main/environment.yml) and run
conda env update --name env_name --file environment.yml
pip install dymoval
where `env_name` is the environment name where you want to install *dymoval*.
If not provided, *dymoval* will be installed in a new environment called `dymoval`.
#### Why not `conda install dymoval`?
Unfortunately, it is not possible (yet?) to easily build `conda` packages when the project is handled through a `pyproject.toml` file, and therefore the *dymoval* package, which uses a `pyproject.toml` file, is only available through `pip`.
<!-- comment
#### Installation From this repo
Clone this repo and run
cd /path/to/where/you/cloned/this/repo
conda env update --name env_name --file environment.yml
conda actiate env_name
pip install .
or
cd /path/to/where/you/cloned/this/repo
pip install .
-->
## Getting started
If you are already familiar with model validation, then the best way to get started with dymoval is to run the tutorial scripts that you can open with
import dymoval as dmv
dmv.open_tutorial()
This will copy the `dymoval_tutorial.ipynb` jupyter notebook from your installation folder to your `home` folder.
For more info on what is model validation and what is currently implemented in *dymoval* along with the *dymoval* complete API, you can check the [docs](https://volvogroup.github.io/dymoval/).
> **Note**
> If your tutorial won't start, you can still download the tutorial IPython notebook from this repo [here.](https://github.com/VolvoGroup/dymoval/blob/main/scripts/tutorial.ipynb)
## License
Dymoval is licensed under [BSD 3](https://github.com/VolvoGroup/dymoval/blob/main/LICENSE) license.
نیازمندی
| مقدار | نام |
|---|---|
| - | black |
| - | conda-lock |
| - | control |
| - | coverage |
| - | flake8 |
| - | furo |
| - | h5py |
| - | matplotlib |
| - | mypy |
| - | numpy |
| - | pandas |
| - | pathlib |
| - | pytest |
| - | scipy |
| - | sphinx |
| - | sphinx-autodoc-typehints |
| - | sphinx-toolbox |
| - | tomli |
| xtr | hatch; |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.10 | Python |
نحوه نصب
نصب پکیج whl dymoval-0.8.3:
pip install dymoval-0.8.3.whl
نصب پکیج tar.gz dymoval-0.8.3:
pip install dymoval-0.8.3.tar.gz