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GTSAM_EXPORT | Potentials () |
| | Default constructor for I/O.
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GTSAM_EXPORT | Potentials (const DiscreteKeys &keys, const ADT &decisionTree) |
| | Constructor from Indices and ADT.
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template<class SOURCE > |
| | Potentials (const DiscreteKeys &keys, SOURCE table) |
| | Constructor from Indices and (string or doubles)
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GTSAM_EXPORT bool | equals (const Potentials &other, double tol=1e-9) const |
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GTSAM_EXPORT void | print (const std::string &s="Potentials: ", const KeyFormatter &formatter=DefaultKeyFormatter) const |
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size_t | cardinality (Key j) const |
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| AlgebraicDecisionTree (const Super &add) |
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| AlgebraicDecisionTree (const Key &label, double y1, double y2) |
| | Create a new leaf function splitting on a variable.
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| AlgebraicDecisionTree (const typename Super::LabelC &labelC, double y1, double y2) |
| | Create a new leaf function splitting on a variable.
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| AlgebraicDecisionTree (const std::vector< typename Super::LabelC > &labelCs, const std::vector< double > &ys) |
| | Create from keys and vector table.
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| AlgebraicDecisionTree (const std::vector< typename Super::LabelC > &labelCs, const std::string &table) |
| | Create from keys and string table.
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| AlgebraicDecisionTree (Iterator begin, Iterator end, const Key &label) |
| | Create a new function splitting on a variable.
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| AlgebraicDecisionTree (const AlgebraicDecisionTree< M > &other, const std::map< M, Key > &map) |
| | Convert.
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AlgebraicDecisionTree | operator+ (const AlgebraicDecisionTree &g) const |
| | sum
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AlgebraicDecisionTree | operator* (const AlgebraicDecisionTree &g) const |
| | product
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AlgebraicDecisionTree | operator/ (const AlgebraicDecisionTree &g) const |
| | division
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AlgebraicDecisionTree | sum (const Key &label, size_t cardinality) const |
| | sum out variable
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AlgebraicDecisionTree | sum (const typename Super::LabelC &labelC) const |
| | sum out variable
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| DecisionTree (const double &y) |
| | Create a constant.
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| DecisionTree (const Key &label, const double &y1, const double &y2) |
| | Create a new leaf function splitting on a variable.
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| DecisionTree (const LabelC &label, const double &y1, const double &y2) |
| | Allow Label+Cardinality for convenience.
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| DecisionTree (const std::vector< LabelC > &labelCs, const std::vector< double > &ys) |
| | Create from keys and a corresponding vector of values.
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| DecisionTree (const std::vector< LabelC > &labelCs, const std::string &table) |
| | Create from keys and string table.
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| DecisionTree (Iterator begin, Iterator end, const Key &label) |
| | Create DecisionTree from others.
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| DecisionTree (const Key &label, const DecisionTree &f0, const DecisionTree &f1) |
| | Create DecisionTree from two others.
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| DecisionTree (const DecisionTree< M, X > &other, const std::map< M, Key > &map, std::function< double(const X &)> op) |
| | Convert from a different type.
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| DecisionTree (const NodePtr &root) |
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NodePtr | compose (Iterator begin, Iterator end, const Key &label) const |
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void | print (const std::string &s="DecisionTree") const |
| | GTSAM-style print.
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bool | equals (const DecisionTree &other, double tol=1e-9) const |
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virtual | ~DecisionTree () |
| | Make virtual.
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bool | operator== (const DecisionTree &q) const |
| | equality
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const double & | operator() (const Assignment< Key > &x) const |
| | evaluate
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DecisionTree | apply (const Unary &op) const |
| | apply Unary operation "op" to f
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DecisionTree | apply (const DecisionTree &g, const Binary &op) const |
| | apply binary operation "op" to f and g
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DecisionTree | choose (const Key &label, size_t index) const |
| | create a new function where value(label)==index It's like "restrict" in Darwiche09book pg329, 330?
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DecisionTree | combine (const Key &label, size_t cardinality, const Binary &op) const |
| | combine subtrees on key with binary operation "op"
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DecisionTree | combine (const LabelC &labelC, const Binary &op) const |
| | combine with LabelC for convenience
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void | dot (std::ostream &os, bool showZero=true) const |
| | output to graphviz format, stream version
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void | dot (const std::string &name, bool showZero=true) const |
| | output to graphviz format, open a file
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