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ploomber / sklearn-evaluation

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.
https://sklearn-evaluation.ploomber.io
Apache License 2.0
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add missing html_meta to every .md/.rst document #290

Closed edublancas closed 1 year ago

edublancas commented 1 year ago

(see https://github.com/ploomber/sklearn-evaluation/issues/253 for context)

Sohlar commented 1 year ago

This is an example for doc/classification/basic.md. Let me know what you all think.

`html_meta:

"description lang=en": "A comprehensive guide to evaluating machine learning classifiers using sklearn_evaluation, including training a model, confusion matrix, feature importances, classification report, precision-recall, and ROC curves."

"keywords": "machine learning, sklearn_evaluation, evaluation, classifiers, confusion matrix, feature importances, classification report, precision-recall, ROC curve, random forest classifier, Python, scikit-learn"

"property=og:locale": "en_US"`

idomic commented 1 year ago

@Sohlar This one is great! Much better than the generic template :) I think you can do a few in a pr (the ones you're certain about, and list the ones that still need work here)

Sohlar commented 1 year ago

@idomic Yeah, sorry about that. I thought the issue was no one wanted to copy paste that much, hence the template. 😅