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#271 Classification Evaluation #290
I'm currently adding the possibility to evaluate a classification model based on the LIDC dataset as described in #271. Furthermore, I'm currently benchmarking the model that's implemented at the moment.
Jan 22, 2018
It looks good, and no I don't see any major flaws. If someone with more experience in applying these metrics to CT scans has suggestions he/she can always improve this with future PRs. It also seems like the
This is what I got...
import os import numpy as np import pylidc as pl try: from ....config import Config except ValueError: from config import Config ...
from ..algorithms.evaluation.evaluation import evaluate_classification def test_evaluate_classification(model_path=None): assert evaluate_classification(model_path)
I believe you'll also have to add