Closed justaddcoffee closed 3 years ago
One way to do this: each of the steps that output metrics (embeddings
, classifiers
, etc) outputs a file in output of the form embeddings_metrics.yaml
, classifiers_metrics.yaml
. The names of these files are specified in the YAML section in question
To start addressing this, I made this PR - this outputs metrics for graph embeddings. Need to do the same for classifier training, but shouldn't be too hard
addressed by #29
Right now at the end of a NEAT run, metrics like AUROC, AUPRC, etc are printed to stdout during training.
These should be emitted as a JSON or some computable format.