60beaa4563
* reflected doc changes to README.md
Signed-off-by: Arthur Lu <learthurgo@gmail.com>
* tra_analysis v 2.1.0-alpha.1
Signed-off-by: Arthur Lu <learthurgo@gmail.com>
* changed setup.py to use __version__ from source
added Topic and keywords
Signed-off-by: Arthur Lu <learthurgo@gmail.com>
* updated Supported Platforms in README.md
Signed-off-by: Arthur Lu <learthurgo@gmail.com>
* moved required files back to parent
Signed-off-by: Arthur Lu <learthurgo@gmail.com>
* moved security back to parent
Signed-off-by: Arthur Lu <learthurgo@gmail.com>
* moved security back to parent
moved contributing back to parent
Signed-off-by: Arthur Lu <learthurgo@gmail.com>
* add PR template
Signed-off-by: Arthur Lu <learthurgo@gmail.com>
* moved to parent folder
Signed-off-by: Arthur Lu <learthurgo@gmail.com>
* moved meta files to .github folder
Signed-off-by: Arthur Lu <learthurgo@gmail.com>
* Analysis.py v 3.0.1
Signed-off-by: Arthur Lu <learthurgo@gmail.com>
* updated test_analysis for submodules, and added missing numpy import in Sort.py
* fixed item one of Issue #58
Signed-off-by: Arthur Lu <learthurgo@gmail.com>
* readded cache searching in postCreateCommand
Signed-off-by: Arthur Lu <learthurgo@gmail.com>
* added myself as an author
* feat: created kivy gui boilerplate
* added Kivy to requirements.txt
Signed-off-by: Arthur Lu <learthurgo@gmail.com>
* feat: gui with placeholders
* fix: changed config.json path
* migrated docker base image to debian
Signed-off-by: ltcptgeneral <learthurgo@gmail.com>
* style: spaces to tabs
* migrated to ubuntu
Signed-off-by: ltcptgeneral <learthurgo@gmail.com>
* fixed issues
Signed-off-by: ltcptgeneral <learthurgo@gmail.com>
* fix: docker build?
* fix: use ubuntu bionic
* fix: get kivy installed
* @ltcptgeneral can't spell
* optim dockerfile for not installing unused packages
* install basic stuff while building the container
* use prebuilt image for development
* install pylint on base image
* rename and use new kivy
* tests: added tests for Array and CorrelationTest
Both are not working due to errors
* use new thing
* use 20.04 base
* symlink pip3 to pip
* use pip instead of pip3
* equation.Expression.py v 0.0.1-alpha
added corresponding .pyc to .gitignore
* parser.py v 0.0.2-alpha
* added pyparsing to requirements.txt
* parser v 0.0.4-alpha
* Equation v 0.0.1-alpha
* added Equation to tra_analysis imports
* tests: New unit tests for submoduling (#66)
* feat: created kivy gui boilerplate
* migrated docker base image to debian
Signed-off-by: ltcptgeneral <learthurgo@gmail.com>
* migrated to ubuntu
Signed-off-by: ltcptgeneral <learthurgo@gmail.com>
* fixed issues
Signed-off-by: ltcptgeneral <learthurgo@gmail.com>
* fix: docker build?
* fix: use ubuntu bionic
* fix: get kivy installed
* @ltcptgeneral can't spell
* optim dockerfile for not installing unused packages
* install basic stuff while building the container
* use prebuilt image for development
* install pylint on base image
* rename and use new kivy
* tests: added tests for Array and CorrelationTest
Both are not working due to errors
* fix: Array no longer has *args and CorrelationTest functions no longer have self in the arguments
* use new thing
* use 20.04 base
* symlink pip3 to pip
* use pip instead of pip3
* tra_analysis v 2.1.0-alpha.2
SVM v 1.0.1
added unvalidated SVM unit tests
Signed-off-by: ltcptgeneral <learthurgo@gmail.com>
* fixed version number
Signed-off-by: ltcptgeneral <learthurgo@gmail.com>
* tests: added tests for ClassificationMetric
* partially fixed and commented out svm unit tests
* fixed some SVM unit tests
* added installing pytest to devcontainer.json
* fix: small fixes to KNN
Namely, removing self from parameters and passing correct arguments to KNeighborsClassifier constructor
* fix, test: Added tests for KNN and NaiveBayes.
Also made some small fixes in KNN, NaiveBayes, and RegressionMetric
* test: finished unit tests except for StatisticalTest
Also made various small fixes and style changes
* StatisticalTest v 1.0.1
* fixed RegressionMetric unit test
temporarily disabled CorrelationTest unit tests
* tra_analysis v 2.1.0-alpha.3
* readded __all__
* fix: floating point issues in unit tests for CorrelationTest
Co-authored-by: AGawde05 <agawde05@gmail.com>
Co-authored-by: ltcptgeneral <learthurgo@gmail.com>
Co-authored-by: Dev Singh <dev@devksingh.com>
Co-authored-by: jzpan1 <panzhenyu2014@gmail.com>
* fixed depreciated escape sequences
* ficed tests, indent, import in test_analysis
* changed version to 3.0.0
added backwards compatibility
* ficed pytest install in container
* removed GUI changes
Signed-off-by: Arthur Lu <learthurgo@gmail.com>
* incremented version to rc.1 (release candidate 1)
Signed-off-by: Arthur Lu <learthurgo@gmail.com>
* fixed NaiveBayes __changelog__
Signed-off-by: Arthur Lu <learthurgo@gmail.com>
* fix: __setitem__ == to single =
* Array v 1.0.1
* Revert "Array v 1.0.1"
This reverts commit
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|---|---|---|
| .devcontainer | ||
| .github | ||
| analysis-master | ||
| .gitattributes | ||
| .gitignore | ||
| CONTRIBUTING.md | ||
| LICENSE | ||
| MAINTAINERS | ||
| README.md | ||
| SECURITY.md | ||
Red Alliance Analysis · 
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
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.
Prerequisites
- 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.
Installing
Standard Platforms
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.
Exotic Platforms (Android)
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.
Use
tra-analysis operates like any other python package. Consult the documentation for more information.
Supported Platforms
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
Data analysis has been separated into its own repository.
Contributing
Read our included contributing guidelines (CONTRIBUTING.md) for more information and feel free to reach out to any current maintainer for more information.
Build Statuses
