#include <type_traits>#include <mlpack/core.hpp>#include <mlpack/core/cv/metrics/average_strategy.hpp>#include "f1_impl.hpp"
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Classes | |
| class | mlpack::cv::F1< AS, PositiveClass > |
| F1 is a metric of performance for classification algorithms that for binary classification is equal to \( 2 * precision * recall / (precision + recall) \). More... | |
Namespaces | |
| mlpack | |
| Linear algebra utility functions, generally performed on matrices or vectors. | |
Detailed Description
The F1 metric.
mlpack is free software; you may redistribute it and/or modify it under the terms of the 3-clause BSD license. You should have received a copy of the 3-clause BSD license along with mlpack. If not, see http://www.opensource.org/licenses/BSD-3-Clause for more information.
