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
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Appendix m: updating user guide page to adhere to style guide (max_abs_leafnode_pred, max_active_predictors, max_after_balance_size, max_depth, max_iterations, max_models, max_runtime_secs, max_runtime_secs_per_model, metalearner_algorithm, metalearner_params, metalearner_transform, min_prob, min_rows, min_sdev, min_split_improvement, missing_values_handling, model_id, monotone_constraints, mtries) #16267

Open hannah-tillman opened 1 month ago

hannah-tillman commented 1 month ago

Algo-param M:

hannah-tillman commented 1 month 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: max_active_predictors: break default values into subsection