-
Notifications
You must be signed in to change notification settings - Fork 4
/
LocalLearning.hpp
90 lines (71 loc) · 2.54 KB
/
LocalLearning.hpp
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
/**
* @file LocalLearning.hpp
* @brief Declaration of the classes for local-to-global causal discovery.
* @author Ankit Srivastava <[email protected]>
*
* Copyright 2020 Georgia Institute of Technology
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef LOCALLEARNING_HPP_
#define LOCALLEARNING_HPP_
#include "ConstraintBasedLearning.hpp"
/**
* @brief Abstract base class for local-to-global causal discovery.
*
* @tparam Data Type of the object which is used for querying the data.
* @tparam Var Type of variable indices (expected to be an integer type).
* @tparam Set Type of set container.
*/
template <typename Data, typename Var, typename Set>
class LocalLearning : public ConstraintBasedLearning<Data, Var, Set> {
public:
LocalLearning(const mxx::comm&, const Data&, const double, const Var);
const Set&
getPC(const Var) const override;
const Set&
getMB(const Var) const override;
virtual
~LocalLearning() { }
protected:
virtual
Set
getCandidatePC(const Var, Set&&) const = 0;
virtual
Set
getCandidateMB(const Var, Set&&) const = 0;
void
parallelInitialize(std::vector<std::tuple<Var, Var, double>>&, std::unordered_map<Var, Set>&) const;
void
syncMissingSets(const std::vector<std::tuple<Var, Var, double>>&, std::unordered_map<Var, Set>&) const;
std::vector<std::pair<Var, Var>>
symmetryCorrect(const std::unordered_map<Var, Set>&&, const std::set<std::pair<Var, Var>>&&) const;
private:
Set&
getCandidatePC_cache(const Var, Set&&) const;
void
symmetryCorrectPC(const Var, Set&) const;
Set&
getCandidateMB_cache(const Var, Set&&) const;
void
symmetryCorrectMB(const Var, Set&) const;
BayesianNetwork<Var>
getSkeleton_sequential(const bool) const override;
protected:
mutable std::unordered_map<Var, Set> m_cachedPC;
mutable std::unordered_map<Var, Set> m_cachedMB;
mutable std::unordered_map<Var, bool> m_cachedPCSymmetric;
mutable std::unordered_map<Var, bool> m_cachedMBSymmetric;
}; // class LocalLearning
#include "detail/LocalLearning.hpp"
#endif // LOCALLEARNING_HPP_