e85e88f839
This pull is just a complete port to Python3.6 - I converted deprecated functions from 2.X to 3.X, updated all packages to their latest versions and changed modules to remove deprecated functions. Resolved errors that existed in port across to 3.6 which are summarised below.
- Fixed critical error by changing structure sequence type. TypeError: The two structures don't have the same sequence type. - First structure has type <class 'list'>, while second structure has type <class 'tuple'>.
- Fixed v3.X error by changing to int division '//' TypeError: 'float' object cannot be interpreted as an integer
General conversion of functions from 2.X to 3.X i.e. print('') instead of print ''
- Resolved deprecation errors by updating cross_validation module to the newer model_selection module
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| files | ||
| .gitignore | ||
| Karoo_GP_User_Guide.pdf | ||
| LICENSE.md | ||
| README.md | ||
| RELEASE_NOTES.txt | ||
| karoo_gp_base_class.py | ||
| karoo_gp_main.py | ||
| karoo_gp_server.py | ||
README.md
Karoo GP
Karoo GP is an evolutionary algorithm, a genetic programming application suite written in Python which supports both symbolic regression and classification data analysis. It is ready to work with your datasets, is multicore and GPU enabled by means of the powerful library TensorFlow. The packge includes a Desktop application with an intuitive user interface, and a Server application which supports fully scripted runs. Output is automatically archived.
Batteries included. No programming required.
Learn more at kstaats.github.io/karoo_gp
Dependencies:
- python (3.6.2)
- pip (9.0.1)
- matplotlib (2.0.2)
- numpy (1.13.1)
- scikit-learn (0.19.0)
- scipy (0.19.1)
- sklearn (0.0)
- sympy (1.1.1)
- tensorflow (1.2.1)
Using Karoo GP
Before you do anything read the Karoo GP User Guide
Installation (With Anaconda)
create -n tensorflow
source activate tensorflow
pip install numpy sympy tensorflow scipy scikit-learn matplotlib sklearn
Starting Karoo GP Interface
python karoo_gp_main.py
Using your own data
python karoo_gp_main.py /path/to/data.csv
Running Server
python karoo_gp_server.py