: A scientific plotting package, Python. On Line 3 matplotlib IS SET to use the“Agg”
backend to save training plots to disk.
: We’ll be taking advantage of theImageDataGenerator
: From scikit-learn we’ll need its implementation of aclassification_report
: We’re going to be putting our newly defined CancerNet to use (training and evaluating it). We’ll also need our config to grab the paths to our three data splits. This module is not pip-installable; it is included the “Downloads” section of today’s post.
: I’ve made my convenience functions publicly available as a pip-installable package. We’ll be using thepaths
module to grab paths to each of our images.
: The typical tool used by data scientists for numerical processing with Python.
- Python: Bothargparse
are built into Python installations. We’ll use
argparseto parse a command line argument.