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OpenANN
1.1.0
An open source library for artificial neural networks.
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All Classes Namespaces Files Functions Variables Typedefs Enumerations Enumerator Friends Macros Pages
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OpenANN
1.1.0
An open source library for artificial neural networks.
|
Provides some convenience functions to evaluate learners. More...
#include <Eigen/Core>Go to the source code of this file.
Namespaces | |
| OpenANN | |
Functions | |
| double | OpenANN::sse (Learner &learner, DataSet &dataSet) |
| Sum of squared errors. More... | |
| double | OpenANN::mse (Learner &learner, DataSet &dataSet) |
| Mean squared error. More... | |
| double | OpenANN::rmse (Learner &learner, DataSet &dataSet) |
| Root mean squared error. More... | |
| double | OpenANN::ce (Learner &learner, DataSet &dataSet) |
| Cross entropy. More... | |
| double | OpenANN::accuracy (Learner &learner, DataSet &dataSet) |
| Accuracy. More... | |
| double | OpenANN::weightedAccuracy (Learner &learner, DataSet &dataSet, Eigen::VectorXd weights) |
| Accuracy on weighted data set. More... | |
| Eigen::MatrixXi | OpenANN::confusionMatrix (Learner &learner, DataSet &dataSet) |
| Confusion matrix. More... | |
| int | OpenANN::classificationHits (Learner &learner, DataSet &dataSet) |
| Classification hits. More... | |
| double | OpenANN::crossValidation (int folds, Learner &learner, DataSet &dataSet, Optimizer &opt) |
| Cross-validation. More... | |
| int | OpenANN::oneOfCDecoding (const Eigen::VectorXd &target) |
| One-of-c decoding. More... | |
Provides some convenience functions to evaluate learners.
1.8.4