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ppforest2 v0.1.0
Projection Pursuit Decision Trees and Random Forests
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Leaf creation by mean response value. More...
#include <MeanResponse.hpp>
Public Member Functions | |
| std::string | display_name () const override |
| Human-readable name for display in summaries. | |
| std::set< types::Mode > | supported_modes () const override |
| Training modes this strategy supports. | |
| nlohmann::json | to_json () const override |
| Serialize this strategy's configuration to JSON. | |
Public Member Functions inherited from ppforest2::leaf::LeafStrategy | |
| TreeNode::Ptr | create_leaf (NodeContext const &ctx, stats::RNG &rng) const |
| Create a leaf node for the given node context. | |
Public Member Functions inherited from Strategy< LeafStrategy > | |
| virtual | ~Strategy ()=default |
Static Public Member Functions | |
| static LeafStrategy::Ptr | from_json (nlohmann::json const &j) |
Static Public Member Functions inherited from Strategy< LeafStrategy > | |
| static Ptr | from_json (nlohmann::json const &j) |
| Construct a strategy from its JSON representation. | |
| static bool | register_strategy (std::string const &name, Factory factory) |
| Register a concrete strategy for JSON deserialization. | |
Protected Member Functions | |
| TreeNode::Ptr | compute (NodeContext const &ctx, stats::RNG &rng) const override |
| Create a mean-response leaf from the node's observations. | |
Additional Inherited Members | |
Public Types inherited from Strategy< LeafStrategy > | |
| using | Factory |
| Factory function type for deserializing a strategy from JSON. | |
| using | Ptr |
Leaf creation by mean response value.
Returns a TreeLeaf whose value is the mean of the continuous response for observations in this node. Used for regression trees.
Requires NodeContext::y_vec to be set (populated by the training pipeline for regression; null for classification).
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overrideprotectedvirtual |
Create a mean-response leaf from the node's observations.
Implements ppforest2::leaf::LeafStrategy.
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inlineoverridevirtual |
Human-readable name for display in summaries.
Implements Strategy< LeafStrategy >.
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static |
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inlineoverridevirtual |
Training modes this strategy supports.
Every concrete strategy MUST explicitly declare which modes it supports — there is no default. This forces implementers to think about mode compatibility rather than silently inheriting both modes and triggering runtime surprises.
Used by TrainingSpec to validate that every selected strategy is compatible with the configured training mode. Fails fast at build time instead of silently misbehaving at train time.
Implements Strategy< LeafStrategy >.
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overridevirtual |
Serialize this strategy's configuration to JSON.
Must include a "name" field identifying the strategy type, plus any strategy-specific parameters.
Implements Strategy< LeafStrategy >.