sanitize-ml-labels 1.0.1

Simple python package to sanitize in a standard way ML-related labels.

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_labels

Tests 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.