KDEDefaultParams contains the default input parameter values for KDE.
More...
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| static constexpr double | absError = 0 |
| | Absolute error tolerance. More...
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| static constexpr size_t | initialSampleSize = 100 |
| | Initial sample size for Monte Carlo estimations. More...
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| static constexpr double | mcBreakCoef = 0.4 |
| | Monte Carlo break coefficient. More...
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| static constexpr double | mcEntryCoef = 3 |
| | Monte Carlo entry coefficient. More...
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| static constexpr double | mcProb = 0.95 |
| | Probability of a Monte Carlo estimation to be bounded by the relative error tolerance. More...
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| static constexpr KDEMode | mode = KDEMode::DUAL_TREE_MODE |
| | KDE algorithm mode. More...
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| static constexpr bool | monteCarlo = false |
| | Whether to use Monte Carlo estimations when possible. More...
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| static constexpr double | relError = 0.05 |
| | Relative error tolerance. More...
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KDEDefaultParams contains the default input parameter values for KDE.
Definition at line 32 of file kde.hpp.
| constexpr double absError = 0 |
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Absolute error tolerance.
Definition at line 38 of file kde.hpp.
| constexpr size_t initialSampleSize = 100 |
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Initial sample size for Monte Carlo estimations.
Definition at line 51 of file kde.hpp.
| constexpr double mcBreakCoef = 0.4 |
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Monte Carlo break coefficient.
Definition at line 57 of file kde.hpp.
| constexpr double mcEntryCoef = 3 |
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Monte Carlo entry coefficient.
Definition at line 54 of file kde.hpp.
| constexpr double mcProb = 0.95 |
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Probability of a Monte Carlo estimation to be bounded by the relative error tolerance.
Definition at line 48 of file kde.hpp.
| constexpr KDEMode mode = KDEMode::DUAL_TREE_MODE |
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| constexpr bool monteCarlo = false |
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Whether to use Monte Carlo estimations when possible.
Definition at line 44 of file kde.hpp.
| constexpr double relError = 0.05 |
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Relative error tolerance.
Definition at line 35 of file kde.hpp.
The documentation for this struct was generated from the following file: