hermabr / fys-stk4155-project-2

Feed forward neural networks and logistic regression

Usage

python3 src/run.py [arguments]

usage: run.py [-h] [-s] [-f] [-l] [-a]

To run the analysis and the tests

optional arguments:
  -h, --help      show this help message and exit
  -s, --sgd       To run the analysis for doing OLS and Ridge regression using the SGD method
  -f, --ffnn      To run the analysis for the Feedforward neural network
  -l, --logistic  To run the analysis for the logistic regression
  -a, --all       To run all the analyzes

Structure

.
├── output - Outputs generated by the program
│  ├── ...
├── README.md
└── src
   ├── analysis - files for running the analysis
   ├── config - config variables shared among multiple files
   ├── FFNN.py - the implementation of the FFNN
   ├── generate_data.py - to generate data
   ├── layers.py - containing the different layers with different activation functions
   ├── linear_regression_models.py - containing the abstract linear regression model
   ├── logistic_regression.py - contains a logistic regression model
   ├── ordinary_least_squares.py - contains the ordinary least square implementation
   ├── plot.py - contains code used for plotting
   ├── ridge.py - contains the ridge implementation
   └── run.py - contains the code for running the analysis