restructure the side nav bar in docs

docs/make.jl

@@ -10,26 +10,30 @@ makedocs(;
  "Quick-start guide" => "quick_start_guide.md",
  "The model type hierarchy" => "the_model_type_hierarchy.md",
  "New model type declarations" => "type_declarations.md",
- "Supervised models" => "supervised_models.md",
- "Summary of methods" => "summary_of_methods.md",
- "The form of data for fitting and predicting" => "form_of_data.md",
- "The fit method" => "the_fit_method.md",
- "The fitted_params method" => "the_fitted_params_method.md",
- "The predict method" => "the_predict_method.md",
- "The predict_joint method" => "the_predict_joint_method.md",
- "Training losses" => "training_losses.md",
- "Feature importances" => "feature_importances.md",
- "Trait declarations" => "trait_declarations.md",
- "Iterative models and the update! method" => "iterative_models.md",
- "Implementing a data front end" => "implementing_a_data_front_end.md",
- "Supervised models with a transform method" =>
- "supervised_models_with_transform.md",
- "Models that learn a probability distribution" => "fitting_distributions.md",
- "Serialization" => "serialization.md",
- "Document strings" => "document_strings.md",
+ "Supervised models" => [
+ "Introduction" => "supervised_models.md",
+ "Summary of methods" => "summary_of_methods.md",
+ "The form of data for fitting and predicting" => "form_of_data.md",
+ "The fit method" => "the_fit_method.md",
+ "The fitted_params method" => "the_fitted_params_method.md",
+ "The predict method" => "the_predict_method.md",
+ "The predict_joint method" => "the_predict_joint_method.md",
+ "Training losses" => "training_losses.md",
+ "Feature importances" => "feature_importances.md",
+ "Trait declarations" => "trait_declarations.md",
+ "Iterative models and the update! method" => "iterative_models.md",
+ "Implementing a data front end" => "implementing_a_data_front_end.md",
+ "Supervised models with a transform method" =>
+ "supervised_models_with_transform.md",
+ "Models that learn a probability distribution" =>
+ "fitting_distributions.md",
+ ],
  "Unsupervised models" => "unsupervised_models.md",
  "Static models" => "static_models.md",
  "Outlier detection models" => "outlier_detection_models.md",
+ "Model wrappers" => "model_wrappers.md",
+ "Serialization" => "serialization.md",
+ "Document strings" => "document_strings.md",
  "Convenience methods" => "convenience_methods.md",
  "Where to place code implementing new models" => "where_to_put_code.md",
  "How to add models to the MLJ Model Registry" => "how_to_register.md",

docs/src/index.md

@@ -8,7 +8,7 @@ API defined there, as outlined in this document.
 
 !!! tip
 
- This is a reference document, which has become rather sprawling over the evolution of the MLJ project. We recommend starting with [Quick start guide](@ref), which covers the main points relevant to most new model implementations.
+ This is a reference document, which has become rather sprawling over the evolution of the MLJ project. We recommend starting with [Quick start guide](@ref), which covers the main points relevant to most new model implementations. Most topics are only detailed for `Supervised` models, so if you are implementing another kind of model, you may still need to refer to the [Supervised models](@ref) section. 
 
 Interface code can be hosted by the package providing the core machine learning algorithm,
 or by a stand-alone "interface-only" package, using the template