57 lines
2.3 KiB
C++
57 lines
2.3 KiB
C++
// ***************************************************************
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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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#include "KDBLd.h"
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#include <memory>
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namespace bayesnet {
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KDBLd::KDBLd(int k) : KDB(k), Proposal(dataset, features, className, KDB::notes)
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{
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validHyperparameters = validHyperparameters_ld;
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validHyperparameters.push_back("k");
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validHyperparameters.push_back("theta");
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}
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KDBLd& KDBLd::fit(torch::Tensor& X_, torch::Tensor& y_, const std::vector<std::string>& features_, const std::string& className_, map<std::string, std::vector<int>>& states_, const Smoothing_t smoothing)
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{
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checkInput(X_, y_);
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Xf = X_;
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y = y_;
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return commonFit(features_, className_, states_, smoothing);
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}
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KDBLd& KDBLd::fit(torch::Tensor& dataset, const std::vector<std::string>& features_, const std::string& className_, map<std::string, std::vector<int>>& states_, const Smoothing_t smoothing)
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{
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if (!torch::is_floating_point(dataset)) {
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throw std::runtime_error("Dataset must be a floating point tensor");
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}
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Xf = dataset.index({ torch::indexing::Slice(0, dataset.size(0) - 1), "..." }).clone();
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y = dataset.index({ -1, "..." }).clone().to(torch::kInt32);
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return commonFit(features_, className_, states_, smoothing);
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}
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KDBLd& KDBLd::commonFit(const std::vector<std::string>& features_, const std::string& className_, map<std::string, std::vector<int>>& states_, const Smoothing_t smoothing)
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{
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features = features_;
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className = className_;
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states = iterativeLocalDiscretization(y, static_cast<KDB*>(this), dataset, features, className, states_, smoothing);
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KDB::fit(dataset, features, className, states, smoothing);
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return *this;
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}
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torch::Tensor KDBLd::predict(torch::Tensor& X)
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{
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auto Xt = prepareX(X);
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return KDB::predict(Xt);
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}
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torch::Tensor KDBLd::predict_proba(torch::Tensor& X)
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{
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auto Xt = prepareX(X);
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return KDB::predict_proba(Xt);
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}
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std::vector<std::string> KDBLd::graph(const std::string& name) const
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{
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return KDB::graph(name);
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}
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}
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