#include <algorithm.h>
Inheritance diagram for Algorithm:
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Constructs a new learning algorithm.
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Applies the currently learned function to the filtered and preprocessed input vector.
Implemented in linear_classification, and linear_regression. |
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Exports the representation of this algorithm for use in external objects.
Implemented in linear_classification, and linear_regression. |
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Returns a textual description of the representation format for import/export - Representation. Implemented in linear_classification, and linear_regression. |
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Returns the number of input rows. |
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Returns the current value of a parameter.
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Returns the range of the algorithm's target values [a, b].
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Imports the data from an externally (e.g. Matlab) trained algorithm.
Implemented in linear_classification, and linear_regression. |
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Resets the information stored within the algorithm. Implements Advancable. Reimplemented in linear_classification, and linear_regression. |
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Sets a parameter of the algorithm.
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Sets the range of the algorithm's target values [a, b].
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This function is called after parameters are updated. Reimplemented from csimClass. |
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Returns the names of the valid parameters.
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