h2oai / h2o-3

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
http://h2o.ai
Apache License 2.0
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Appendix k/l: updating user guide page to adhere to style guide (k, keep_cross_validation_fold_assignment, keep_cross_validation_models, keep_cross_validation_predictions, lambda, lambda_min_ratio, lambda_search, laplace, learn_rate, learn_rate_annealing, link, lre_min) #16266

Open hannah-tillman opened 5 months ago

hannah-tillman commented 5 months ago

Algo-params K and L:

hannah-tillman commented 5 months ago

General: Follow Google style guide for writing conventions Break up bulky paragraphs when possible into smaller sections Switch R and Python examples to lead with the Python example Turn **Note:** into .. note:: Test links

Headers: Switch to sentence case ==== > —— > ~~~~ > ‘’’’ > ^^^^ > **<>** > *<>* on every page No verb ending in “ing” at the start

Accessibility: Strong, concise alt text Descriptive link text Introduce tables/graphs/images

Reformat: Awkward positioning of formulas on laplace link: fix the AUTO tagging lre_min: fix formula