BayesNet
1.0.5
Bayesian Network Classifiers using libtorch from scratch
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KDB.h
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// ***************************************************************
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// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez
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// SPDX-FileType: SOURCE
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// SPDX-License-Identifier: MIT
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// ***************************************************************
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#ifndef KDB_H
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#define KDB_H
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#include <torch/torch.h>
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#include "bayesnet/utils/bayesnetUtils.h"
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#include "Classifier.h"
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namespace
bayesnet {
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class
KDB
:
public
Classifier
{
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private
:
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int
k;
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float
theta;
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void
add_m_edges(
int
idx, std::vector<int>& S, torch::Tensor& weights);
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protected
:
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void
buildModel(
const
torch::Tensor& weights)
override
;
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public
:
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explicit
KDB
(
int
k,
float
theta = 0.03);
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virtual
~KDB
() =
default
;
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void
setHyperparameters(
const
nlohmann::json& hyperparameters_)
override
;
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std::vector<std::string> graph(
const
std::string& name =
"KDB"
)
const override
;
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};
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}
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#endif
bayesnet::Classifier
Definition
Classifier.h:15
bayesnet::KDB
Definition
KDB.h:13
bayesnet
classifiers
KDB.h
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