replace typedef with using and improve docstrings
parent
174490eb51
commit
cfb6011560
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@ -113,6 +113,7 @@ namespace gtsam {
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template<typename M>
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AlgebraicDecisionTree(const AlgebraicDecisionTree<M>& other,
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const std::map<M, L>& map) {
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// Functor for label conversion so we can use `convertFrom`.
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std::function<L(const M&)> L_of_M = [&map](const M& label) -> L {
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return map.at(label);
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};
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@ -82,13 +82,19 @@ namespace gtsam {
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return compare(this->constant_, other->constant_);
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}
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/** print */
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/**
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* @brief Print method.
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*
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* @param s Prefix string.
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* @param labelFormatter Functor to format the node label.
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* @param valueFormatter Functor to format the node value.
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*/
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void print(const std::string& s, const LabelFormatter& labelFormatter,
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const ValueFormatter& valueFormatter) const override {
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std::cout << s << " Leaf " << valueFormatter(constant_) << std::endl;
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}
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/** to graphviz file */
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/** Write graphviz format to stream `os`. */
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void dot(std::ostream& os, const LabelFormatter& labelFormatter,
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const ValueFormatter& valueFormatter,
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bool showZero) const override {
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@ -154,7 +160,7 @@ namespace gtsam {
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/** incremental allSame */
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size_t allSame_;
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typedef boost::shared_ptr<const Choice> ChoicePtr;
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using ChoicePtr = boost::shared_ptr<const Choice>;
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public:
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@ -462,6 +468,7 @@ namespace gtsam {
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template <typename X>
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DecisionTree<L, Y>::DecisionTree(const DecisionTree<L, X>& other,
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std::function<Y(const X&)> Y_of_X) {
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// Define functor for identity mapping of node label.
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auto L_of_L = [](const L& label) { return label; };
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root_ = convertFrom<L, X>(Y_of_X, L_of_L);
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}
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@ -594,11 +601,11 @@ namespace gtsam {
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const typename DecisionTree<M, X>::NodePtr& f,
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std::function<L(const M&)> L_of_M,
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std::function<Y(const X&)> Y_of_X) const {
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typedef DecisionTree<M, X> MX;
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typedef typename MX::Leaf MXLeaf;
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typedef typename MX::Choice MXChoice;
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typedef typename MX::NodePtr MXNodePtr;
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typedef DecisionTree<L, Y> LY;
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using MX = DecisionTree<M, X>;
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using MXLeaf = typename MX::Leaf;
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using MXChoice = typename MX::Choice;
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using MXNodePtr = typename MX::NodePtr;
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using LY = DecisionTree<L, Y>;
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// ugliness below because apparently we can't have templated virtual functions
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// If leaf, apply unary conversion "op" and create a unique leaf
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@ -64,11 +64,11 @@ namespace gtsam {
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using CompareFunc = std::function<bool(const Y&, const Y&)>;
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/** Handy typedefs for unary and binary function types */
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typedef std::function<Y(const Y&)> Unary;
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typedef std::function<Y(const Y&, const Y&)> Binary;
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using Unary = std::function<Y(const Y&)>;
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using Binary = std::function<Y(const Y&, const Y&)>;
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/** A label annotated with cardinality */
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typedef std::pair<L,size_t> LabelC;
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using LabelC = std::pair<L,size_t>;
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/** DTs consist of Leaf and Choice nodes, both subclasses of Node */
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class Leaf;
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@ -77,7 +77,7 @@ namespace gtsam {
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/** ------------------------ Node base class --------------------------- */
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class Node {
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public:
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typedef boost::shared_ptr<const Node> Ptr;
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using Ptr = boost::shared_ptr<const Node>;
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#ifdef DT_DEBUG_MEMORY
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static int nrNodes;
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@ -128,7 +128,7 @@ namespace gtsam {
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/** A function is a shared pointer to the root of a DT */
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using NodePtr = typename Node::Ptr;
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/// a DecisionTree just contains the root. TODO(dellaert): make protected.
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/// A DecisionTree just contains the root. TODO(dellaert): make protected.
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NodePtr root_;
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protected:
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@ -137,7 +137,16 @@ namespace gtsam {
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template<typename It, typename ValueIt>
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NodePtr create(It begin, It end, ValueIt beginY, ValueIt endY) const;
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/// Convert from a DecisionTree<M, X>.
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/**
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* @brief Convert from a DecisionTree<M, X> to DecisionTree<L, Y>.
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*
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* @tparam M The previous label type.
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* @tparam X The previous node type.
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* @param f The node pointer to the root of the previous DecisionTree.
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* @param L_of_M Functor to convert from label type M to type L.
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* @param Y_of_X Functor to convert from node type X to type Y.
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* @return NodePtr
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*/
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template <typename M, typename X>
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NodePtr convertFrom(const typename DecisionTree<M, X>::NodePtr& f,
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std::function<L(const M&)> L_of_M,
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@ -174,7 +183,13 @@ namespace gtsam {
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DecisionTree(const L& label, //
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const DecisionTree& f0, const DecisionTree& f1);
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/** Convert from a different type. */
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/**
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* @brief Convert from a different node type.
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*
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* @tparam X The previous node type.
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* @param other The DecisionTree to convert from.
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* @param Y_of_X Functor to convert from node type X to type Y.
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*/
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template <typename X>
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DecisionTree(const DecisionTree<L, X>& other,
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std::function<Y(const X&)> Y_of_X);
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@ -220,7 +235,7 @@ namespace gtsam {
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virtual ~DecisionTree() {
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}
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/** empty tree? */
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/// Check if tree is empty.
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bool empty() const { return !root_; }
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/** equality */
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@ -283,18 +298,21 @@ namespace gtsam {
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/** free versions of apply */
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/// Apply unary operator `op` to DecisionTree `f`.
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template<typename L, typename Y>
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DecisionTree<L, Y> apply(const DecisionTree<L, Y>& f,
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const typename DecisionTree<L, Y>::Unary& op) {
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return f.apply(op);
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}
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/// Apply unary operator `op` to DecisionTree `f` but with node type.
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template<typename L, typename Y, typename X>
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DecisionTree<L, Y> apply(const DecisionTree<L, Y>& f,
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const std::function<Y(const X&)>& op) {
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return f.apply(op);
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}
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/// Apply binary operator `op` to DecisionTree `f`.
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template<typename L, typename Y>
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DecisionTree<L, Y> apply(const DecisionTree<L, Y>& f,
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const DecisionTree<L, Y>& g,
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