/orouterf1f2

Simple Dense location model using ōRouters to show where you are no GPS/Radar.

Primary LanguagePython

OROUTER SPATIAL DATA

Model Performance

Requirements

Python 3.9

Installation

To install the necessary packages, run the following command:

pip install pandas numpy scikit-learn tensorflow

```bash
python create.py 

## Included Data 
* f1.csv - Floor 1 building, 5 minutes of 51 samples of 16k Ambient RF by ōRouter G1 running ōRouter-CLI_Miner 0.3.9
* f2.csv - Floor 2 building, 5 minutes of 51 samples, 16k ... 

# Notes
Hyperparameters tuned with keras_tuenr 64 neurons. The dense layer is a fully connected neural network layer where each input node is connected to each output node. Used dense layers in this model as its easy to read and allows the network more noise.