A set examples of using UTCT for various classification/regression tasks.
All scripts must be runned from the root of the repository, e.g. for MXNet-version of MNIST training:
python mnist/MXNet/train.py
Any training script usually creates a project subdirectory in the working director with all
working files. One of them is a *_score.log
file with tabulated learning curves. You can visualize
this curves by using R-script utct/common/observe.R
. This script starts a web-server and has two
arguments:
- the path to
score_ref.csv
file (this file is in the working directory), - port for web-server (the defalut value is 6006).
After starting this script you can see curve plots in your web-browser by the address
http://localhost:6006
.