#include <randomkfold.h>
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| std::vector< std::tuple< std::vector< gsl::index >, std::vector< gsl::index > > > | split_batch |
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Definition at line 11 of file randomkfold.h.
◆ RandomKFold() [1/3]
| Cosan::RandomKFold::RandomKFold |
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inline |
◆ RandomKFold() [2/3]
| Cosan::RandomKFold::RandomKFold |
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gsl::index |
kfoldnumber | ) |
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inline |
◆ RandomKFold() [3/3]
| Cosan::RandomKFold::RandomKFold |
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gsl::index |
nrows, |
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gsl::index |
kfoldnumber |
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) |
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inline |
◆ GetSplit()
| std::vector< std::tuple<std::vector<gsl::index>,std::vector<gsl::index> > > Cosan::RandomKFold::GetSplit |
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inline |
◆ SetSplit()
| void Cosan::RandomKFold::SetSplit |
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gsl::index |
nrows | ) |
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inlinevirtual |
Reimplemented from Cosan::Splitter.
Definition at line 16 of file randomkfold.h.
20 std::vector<gsl::index> idx(nrows);
21 std::iota(idx.begin(), idx.end(), 0);
24 std::vector<gsl::index> testidx,trainidx;
25 std::sample(idx.begin(), idx.end(), std::back_inserter(testidx),
26 foldSize, std::mt19937{std::random_device{}()});
27 std::sort(testidx.begin(),testidx.end());
28 std::set_difference(idx.begin(), idx.end(), testidx.begin(), testidx.end(),
29 std::inserter(trainidx, trainidx.begin()));
30 fmt::print(
"Current Index is {:}, trainidx size:{:}, testidx size:{:}\n",
31 i,trainidx.size(),testidx.size());
◆ split_batch
| std::vector< std::tuple<std::vector<gsl::index>,std::vector<gsl::index> > > Cosan::RandomKFold::split_batch |
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private |
The documentation for this class was generated from the following file: