This project is under refactoring... Please come later...
- Download Pycharm @ https://www.jetbrains.com/pycharm/
- Install Pycharm
- Open Pycharm
- Click VCS->Git->Clone
- Copy and paste this url in
Git Repository URL
box https://github.com/colpain/NeuralDecoding.git - Click Clone
You have to configure the experiment setup in order to use the tools. All applications are in bin
folder.
Use experiment_config.json
config file to config the experiment.
Explanations of config file fields are given below:
- model_name [REQUIRED]: the name of the model used in the pipeline, available models are:
- "NearestNeighbors"
- "RBF SVM"
- "DecisionTree"
- "RandomForest"
- "AdaBoost"
- "KNN"
- "RadiusNeighbors"
- hyper_parameter [REQUIRED]: the hyper parameter to define the model complexity, the higher the more complex model is
- mode: experiment mode [OPTIONAL]: available options are [100, 1], means either run 100 calls per time point of 1 call per time point, more options will be added in future. The default value of this field is 1
Change to the project root directory {YOURPATH_TO}/NeuralDecoding
, run python3 bin/gen_reports.py