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OpenNN
Open-source neural networks library
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#include <statistics.h>
Public Member Functions | |
| Descriptives (const float=NAN, float=NAN, float=NAN, float=NAN) | |
| VectorR | to_tensor () const |
| void | set (const float=NAN, float=NAN, float=NAN, float=NAN) |
| void | save (const filesystem::path &) const |
| void | print (const string &="Descriptives:") const |
Public Attributes | |
| string | name = "Descriptives" |
| float | minimum = -1.0f |
| float | maximum = 1.0f |
| float | mean = 0.0f |
| float | standard_deviation = 1.0f |
| opennn::Descriptives::Descriptives | ( | const float | = NAN, |
| float | = NAN, | ||
| float | = NAN, | ||
| float | = NAN ) |
| void opennn::Descriptives::print | ( | const string & | = "Descriptives:" | ) | const |
| void opennn::Descriptives::save | ( | const filesystem::path & | ) | const |
| void opennn::Descriptives::set | ( | const float | = NAN, |
| float | = NAN, | ||
| float | = NAN, | ||
| float | = NAN ) |
| VectorR opennn::Descriptives::to_tensor | ( | ) | const |
| float opennn::Descriptives::maximum = 1.0f |
| float opennn::Descriptives::mean = 0.0f |
| float opennn::Descriptives::minimum = -1.0f |
| string opennn::Descriptives::name = "Descriptives" |
| float opennn::Descriptives::standard_deviation = 1.0f |