Titan Robotics 2022 Strategy Team Repository for Data Analysis Tools. Included with these tools are the backend data analysis engine formatted as a python package, associated binaries for the analysis package, and premade scripts that can be pulled directly from this repository and will integrate with other Red Alliance applications to quickly deploy FRC scouting tools.
tra-analysis is a higher level package for data processing and analysis. It is a python library that combines popular data science tools like numpy, scipy, and sklearn along with other tools to create an easy-to-use data analysis engine. tra-analysis includes analysis in all ranges of complexity from basic statistics like mean, median, mode to complex kernel based classifiers and allows user to more quickly deploy these algorithms. The package also includes performance metrics for score based applications including elo, glicko2, and trueskill ranking systems.
At the core of the tra-analysis package is the modularity of each analytical tool. The package encapsulates the setup code for the included data science tools. For example, there are many packages that allow users to generate many different types of regressions. With the tra-analysis package, one function can be called to generate many regressions and sort them by accuracy.
- Python >= 3.6
- Pip which can be installed by running
curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py
python get-pip.py
after installing python, or with a package manager on linux. Refer to the pip installation instructions for more information.
For the latest version of tra-analysis, run pip install tra-analysis or pip install tra_analysis. The requirements for tra-analysis should be automatically installed.
Termux is recommended for a linux environemnt on Android. Consult the documentation for advice on installing the prerequisites. After installing the prerequisites, the package should be installed normally with pip install tra-analysis or pip install tra_analysis.
tra-analysis operates like any other python package. Consult the documentation for more information.
Although any modern 64 bit platform should be supported, the following platforms have been tested to be working:
- AMD64 (Tested on Zen, Zen+, and Zen 2)
- Intel 64/x86_64/x64 (Tested on Kaby Lake, Ice Lake)
- ARM64 (Tested on Broadcom BCM2836 SoC, Broadcom BCM2711 SoC)
The following OSes have been tested to be working:
- Linux Kernel 3.16, 4.4, 4.15, 4.19, 5.4
- Ubuntu 16.04, 18.04, 20.04
- Debian (and Debian derivaives) Jessie, Buster
- Windows 7, 10
The following python versions are supported:
- python 3.6 (not tested)
- python 3.7
- python 3.8
Data analysis has been separated into its own repository.
Read our included contributing guidelines (CONTRIBUTING.md) for more information and feel free to reach out to any current maintainer for more information.
