This is an assigment part of the job interview from LYTT
Classification of the flow type using features0-6 measured at different times and depths. The flow can be classified as "single phase", "slug" or "stratified".
The folder Plot_color_map includes functions for nicely plot the data
The folder data_cleaning has functions to clean up the data and prepare it for scktlean functions
The folder Autoencoder includes the architecture of different autoencoders and data cleaning for pytorch
Use the package manager pip to install the fidelity library in flow_class_vir.zip. Navigate to the directory that contains flow_class_vir.zip and run
pip install flow_class_vir.zipAn example of the package usage can be found in the jupyter notebook Example.ipynb
The folder Models contains different architectures trained The folder Figures has all the figures created during this assigment .git has the log of the version control