This repository is going to contain the implementation of our transferability metrics, which we define in our latest publication: On Metrics to Assess the Transferability of Machine Learning Models in Non-Intrusive Load Monitoring
PS: compatible to NILMTK!
from GenLoss import *
from nilmtk.api import API
from file_handler import load_experiment
from nilmtk.disaggregate import FHMMExact, Hart85
from nilmtk_contrib import *
# load dict and execute experiment
experiment = load_experiment(experiment_ID)
api_results = API(experiment)
# assess generalisation abilities
g_loss = mean_generalization_loss(api_results)
auh = accuracy_on_unseen_houses(api_results)
exit()