26#if GTSAM_ENABLE_BOOST_SERIALIZATION
27#include <boost/serialization/nvp.hpp>
61 template<
typename L,
typename Y>
70 using LabelFormatter = std::function<std::string(L)>;
71 using ValueFormatter = std::function<std::string(Y)>;
72 using CompareFunc = std::function<bool(
const Y&,
const Y&)>;
75 using Unary = std::function<Y(
const Y&)>;
76 using UnaryAssignment = std::function<Y(
const Assignment<L>&,
const Y&)>;
77 using Binary = std::function<Y(
const Y&,
const Y&)>;
88 using Ptr = std::shared_ptr<Node>;
97 std::cout << ++nrNodes <<
" constructed " << id() << std::endl;
104#ifdef DT_DEBUG_MEMORY
105 std::cout << --nrNodes <<
" destructed " << id() << std::endl;
111 const void* id()
const {
return this; }
114 virtual void print(
const std::string& s,
115 const LabelFormatter& labelFormatter,
116 const ValueFormatter& valueFormatter)
const = 0;
117 virtual void dot(std::ostream& os,
const LabelFormatter& labelFormatter,
118 const ValueFormatter& valueFormatter,
119 bool showZero)
const = 0;
120 virtual bool sameLeaf(
const Leaf& q)
const = 0;
121 virtual bool sameLeaf(
const Node& q)
const = 0;
122 virtual bool equals(
const Node& other,
const CompareFunc& compare =
124 virtual const Y& operator()(
const Assignment<L>& x)
const = 0;
125 virtual Ptr apply(
const Unary& op)
const = 0;
126 virtual Ptr apply(
const UnaryAssignment& op,
128 virtual Ptr apply_f_op_g(
const Node&,
const Binary&)
const = 0;
129 virtual Ptr apply_g_op_fL(
const Leaf&,
const Binary&)
const = 0;
130 virtual Ptr apply_g_op_fC(
const Choice&,
const Binary&)
const = 0;
131 virtual Ptr choose(
const L& label,
size_t index)
const = 0;
132 virtual bool isLeaf()
const = 0;
135#if GTSAM_ENABLE_BOOST_SERIALIZATION
137 friend class boost::serialization::access;
138 template <
class ARCHIVE>
139 void serialize(ARCHIVE& ar,
const unsigned int ) {}
156 template <
typename It,
typename ValueIt>
164 template <
typename It,
typename ValueIt>
176 template <
typename X>
178 std::function<Y(
const X&)> Y_of_X);
190 template <
typename M,
typename X>
192 std::function<L(
const M&)> L_of_M,
193 std::function<Y(
const X&)> Y_of_X);
218 DecisionTree(
const std::vector<LabelC>& labelCs,
const std::vector<Y>& ys);
221 DecisionTree(
const std::vector<LabelC>& labelCs,
const std::string& table);
224 template<
typename Iterator>
247 template <
typename X,
typename Func>
260 template <
typename M,
typename X,
typename Func>
275 void print(
const std::string& s,
const LabelFormatter& labelFormatter,
276 const ValueFormatter& valueFormatter)
const;
312 template <
typename Func>
329 template <
typename Func>
346 template <
typename Func>
367 template <
typename Func,
typename X>
399 for (
const auto& [l, v] : assignment) newRoot = newRoot->choose(l, v);
405 const Binary& op)
const;
409 return combine(labelC.first, labelC.second, op);
413 void dot(std::ostream& os,
const LabelFormatter& labelFormatter,
414 const ValueFormatter& valueFormatter,
bool showZero =
true)
const;
417 void dot(
const std::string& name,
const LabelFormatter& labelFormatter,
418 const ValueFormatter& valueFormatter,
bool showZero =
true)
const;
421 std::string
dot(
const LabelFormatter& labelFormatter,
422 const ValueFormatter& valueFormatter,
423 bool showZero =
true)
const;
433 template <
typename A,
typename B>
435 std::function<std::pair<A, B>(
const Y&)> AB_of_Y)
const;
444 template<
typename Iterator>
NodePtr
445 static compose(Iterator begin, Iterator end,
const L& label);
450#if GTSAM_ENABLE_BOOST_SERIALIZATION
452 friend class boost::serialization::access;
453 template <
class ARCHIVE>
454 void serialize(ARCHIVE& ar,
const unsigned int ) {
455 ar& BOOST_SERIALIZATION_NVP(
root_);
460 template <
class L,
class Y>
466 template<
typename L,
typename Y>
473 template<
typename L,
typename Y>
475 const typename DecisionTree<L, Y>::UnaryAssignment& op) {
480 template<
typename L,
typename Y>
483 const typename DecisionTree<L, Y>::Binary& op) {
484 return f.
apply(g, op);
493 template <
typename L,
typename T1,
typename T2>
Typedefs for easier changing of types.
Concept check for values that can be used in unit tests.
An assignment from labels to a discrete value index (size_t).
Global functions in a separate testing namespace.
Definition chartTesting.h:28
std::pair< DecisionTree< L, T1 >, DecisionTree< L, T2 > > unzip(const DecisionTree< L, std::pair< T1, T2 > > &input)
unzip a DecisionTree with std::pair values.
Definition DecisionTree.h:494
DecisionTree< L, Y > apply(const DecisionTree< L, Y > &f, const typename DecisionTree< L, Y >::Unary &op)
free versions of apply
Definition DecisionTree.h:467
A manifold defines a space in which there is a notion of a linear tangent space that can be centered ...
Definition Group.h:37
A helper that implements the traits interface for GTSAM types.
Definition Testable.h:152
An assignment from labels to value index (size_t).
Definition Assignment.h:37
Definition DecisionTree-inl.h:53
Definition DecisionTree-inl.h:165
a decision tree is a function from assignments to values.
Definition DecisionTree.h:62
DecisionTree apply(const Unary &op) const
apply Unary operation "op" to f
Definition DecisionTree-inl.h:1006
static NodePtr convertFrom(const typename DecisionTree< M, X >::NodePtr &f, std::function< L(const M &)> L_of_M, std::function< Y(const X &)> Y_of_X)
Convert from a DecisionTree<M, X> to DecisionTree<L, Y>.
Definition DecisionTree-inl.h:774
DecisionTree choose(const L &label, size_t index) const
create a new function where value(label)==index It's like "restrict" in Darwiche09book pg329,...
Definition DecisionTree.h:391
DecisionTree combine(const LabelC &labelC, const Binary &op) const
combine with LabelC for convenience
Definition DecisionTree.h:408
DecisionTree(Iterator begin, Iterator end, const L &label)
Create DecisionTree from others.
Definition DecisionTree-inl.h:555
virtual ~DecisionTree()=default
Make virtual.
static bool DefaultCompare(const Y &a, const Y &b)
Default method for comparison of two objects of type Y.
Definition DecisionTree.h:65
typename Node::Ptr NodePtr
Definition DecisionTree.h:146
DecisionTree(const std::vector< LabelC > &labelCs, const std::string &table)
Create from keys and string table.
Definition DecisionTree-inl.h:541
static NodePtr build(It begin, It end, ValueIt beginY, ValueIt endY)
Internal recursive function to create from keys, cardinalities, and Y values.
Definition DecisionTree-inl.h:694
std::set< L > labels() const
Retrieve all unique labels as a set.
Definition DecisionTree-inl.h:965
DecisionTree(const DecisionTree< L, X > &other, Func Y_of_X)
Convert from a different value type.
Definition DecisionTree-inl.h:603
DecisionTree apply(const DecisionTree &g, const Binary &op) const
apply binary operation "op" to f and g
Definition DecisionTree-inl.h:1031
bool empty() const
Check if tree is empty.
Definition DecisionTree.h:290
void visit(Func f) const
Visit all leaves in depth-first fashion.
Definition DecisionTree-inl.h:844
void visitLeaf(Func f) const
Visit all leaves in depth-first fashion.
Definition DecisionTree-inl.h:882
DecisionTree(const Unary &op, DecisionTree &&other) noexcept
Move constructor for DecisionTree.
Definition DecisionTree-inl.h:570
std::function< double(const double &)> Unary
Definition DecisionTree.h:75
DecisionTree(const Y &y)
Create a constant.
Definition DecisionTree-inl.h:505
DecisionTree apply(const UnaryAssignment &op) const
Apply Unary operation "op" to f while also providing the corresponding assignment.
Definition DecisionTree-inl.h:1018
X fold(Func f, X x0) const
Fold a binary function over the tree, returning accumulator.
Definition DecisionTree-inl.h:945
NodePtr root_
Definition DecisionTree.h:149
void print(const std::string &s, const LabelFormatter &labelFormatter, const ValueFormatter &valueFormatter) const
GTSAM-style print.
Definition DecisionTree-inl.h:984
DecisionTree combine(const L &label, size_t cardinality, const Binary &op) const
combine subtrees on key with binary operation "op"
Definition DecisionTree-inl.h:1055
std::string dot(const LabelFormatter &labelFormatter, const ValueFormatter &valueFormatter, bool showZero=true) const
output to graphviz format string
Definition DecisionTree-inl.h:1098
void visitWith(Func f) const
Visit all leaves in depth-first fashion.
Definition DecisionTree-inl.h:928
DecisionTree(const LabelC &label, const Y &y1, const Y &y2)
Allow Label+Cardinality for convenience.
Definition DecisionTree-inl.h:521
DecisionTree restrict(const Assignment< L > &assignment) const
Choose multiple values.
Definition DecisionTree.h:397
const Y & operator()(const Assignment< L > &x) const
evaluate
Definition DecisionTree-inl.h:997
void dot(std::ostream &os, const LabelFormatter &labelFormatter, const ValueFormatter &valueFormatter, bool showZero=true) const
output to graphviz format, stream version
Definition DecisionTree-inl.h:1067
std::pair< DecisionTree< L, A >, DecisionTree< L, B > > split(std::function< std::pair< A, B >(const Y &)> AB_of_Y) const
Convert into two trees with value types A and B.
Definition DecisionTree-inl.h:1109
static NodePtr convertFrom(const typename DecisionTree< L, X >::NodePtr &f, std::function< Y(const X &)> Y_of_X)
Convert from a DecisionTree<L, X> to DecisionTree<L, Y>.
Definition DecisionTree-inl.h:745
void dot(const std::string &name, const LabelFormatter &labelFormatter, const ValueFormatter &valueFormatter, bool showZero=true) const
output to graphviz format, open a file
Definition DecisionTree-inl.h:1077
DecisionTree(const DecisionTree< M, X > &other, const std::map< M, L > &map, Func Y_of_X)
Convert from a different value type X to value type Y, also translate labels via map from type M to L...
Definition DecisionTree-inl.h:611
DecisionTree(const std::vector< LabelC > &labelCs, const std::vector< Y > &ys)
Create from keys and a corresponding vector of values.
Definition DecisionTree-inl.h:533
bool operator==(const DecisionTree &q) const
equality
Definition DecisionTree-inl.h:991
std::pair< L, size_t > LabelC
Definition DecisionTree.h:80
DecisionTree(const L &label, const Y &y1, const Y &y2)
Create tree with 2 assignments y1, y2, splitting on variable label.
Definition DecisionTree-inl.h:511
size_t nrLeaves() const
Return the number of leaves in the tree.
Definition DecisionTree-inl.h:935
static NodePtr create(It begin, It end, ValueIt beginY, ValueIt endY)
Internal helper function to create a tree from keys, cardinalities, and Y values.
Definition DecisionTree-inl.h:736
DecisionTree()
Default constructor (for serialization).
Definition DecisionTree-inl.h:497
DecisionTree(const L &label, const DecisionTree &f0, const DecisionTree &f1)
Create DecisionTree from two others.
Definition DecisionTree-inl.h:562