OpenANN
1.1.0
An open source library for artificial neural networks.
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Common base for all transformations. More...
#include <Transformer.h>
Public Member Functions | |
virtual | ~Transformer () |
virtual Transformer & | fit (const Eigen::MatrixXd &X)=0 |
Fit transformation according to training set X. More... | |
virtual Transformer & | fitPartial (const Eigen::MatrixXd &X) |
Fit transformation according to subset of the training set X. More... | |
virtual Eigen::MatrixXd | transform (const Eigen::MatrixXd &X)=0 |
Transform the data. More... | |
Common base for all transformations.
Transformations are (usually unsupervised) data preprocessing methods.
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inlinevirtual |
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pure virtual |
Fit transformation according to training set X.
X | each row represents an instance |
Implemented in OpenANN::KMeans, OpenANN::PCA, OpenANN::Compressor, OpenANN::ZCAWhitening, and OpenANN::Normalization.
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inlinevirtual |
Fit transformation according to subset of the training set X.
This can be used for online adaption of the transformation.
X | each row represents an instance |
Reimplemented in OpenANN::Compressor.
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pure virtual |
Transform the data.
X | each row represents an instance |
Implemented in OpenANN::KMeans, OpenANN::PCA, OpenANN::Compressor, OpenANN::ZCAWhitening, and OpenANN::Normalization.