#include <loss_functions.h>
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| virtual std::string | getType ()=0 |
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| virtual float | getParameter () |
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| virtual float | getLoss (shared_data *, float prediction, float label)=0 |
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| virtual float | getUpdate (float prediction, float label, float update_scale, float pred_per_update)=0 |
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| virtual float | getUnsafeUpdate (float prediction, float label, float eta_t)=0 |
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| virtual float | getRevertingWeight (shared_data *, float prediction, float eta_t)=0 |
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| virtual float | getSquareGrad (float prediction, float label)=0 |
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| virtual float | first_derivative (shared_data *, float prediction, float label)=0 |
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| virtual float | second_derivative (shared_data *, float prediction, float label)=0 |
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| virtual | ~loss_function ()=default |
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◆ ~loss_function()
| virtual loss_function::~loss_function |
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virtualdefault |
◆ first_derivative()
| virtual float loss_function::first_derivative |
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shared_data * |
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float |
prediction, |
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float |
label |
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) |
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pure virtual |
◆ getLoss()
| virtual float loss_function::getLoss |
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shared_data * |
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float |
prediction, |
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float |
label |
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) |
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pure virtual |
◆ getParameter()
| virtual float loss_function::getParameter |
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inlinevirtual |
◆ getRevertingWeight()
| virtual float loss_function::getRevertingWeight |
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shared_data * |
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float |
prediction, |
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float |
eta_t |
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) |
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pure virtual |
◆ getSquareGrad()
| virtual float loss_function::getSquareGrad |
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float |
prediction, |
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float |
label |
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) |
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pure virtual |
◆ getType()
| virtual std::string loss_function::getType |
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pure virtual |
◆ getUnsafeUpdate()
| virtual float loss_function::getUnsafeUpdate |
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float |
prediction, |
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float |
label, |
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float |
eta_t |
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) |
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pure virtual |
◆ getUpdate()
| virtual float loss_function::getUpdate |
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float |
prediction, |
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float |
label, |
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float |
update_scale, |
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float |
pred_per_update |
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) |
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pure virtual |
◆ second_derivative()
| virtual float loss_function::second_derivative |
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shared_data * |
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float |
prediction, |
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float |
label |
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) |
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pure virtual |
The documentation for this class was generated from the following file:
