Simple python package to sanitize in a standard way ML-related labels.
Project description
Simple python package to sanitize in a standard way ML-related labels.
How do I install this package?
As usual, just download it using pip:
pip install sanitize_ml_labelsTests Coverage
Since some software handling coverages sometime get slightly different results, here’s three of them:
Usage examples
So you have some kind of plot and you have some ML-related labels. Since I always rename and sanitize them the same way, I have prepared this package to always sanitize them in a standard fashion.
from sanitize_ml_labels import sanitize_ml_labels
# Example for metrics
labels = [
"acc",
"loss",
"auroc",
"lr"
]
sanitize_ml_labels(labels)
# ["Accuracy", "Loss", "AUROC", "Learning rate"]
# Example for models
labels = [
"vanilla mlp",
"vanilla cnn",
"vanilla ffnn",
"vanilla perceptron"
]
sanitize_ml_labels(labels)
# ["MLP", "CNN", "FFNN", "Perceptron"]New features and issues
As always, for new features and issues you can either open a new issue and pull request. A pull request will always be the quicker way, but I’ll look into the issues when I get the time.
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