Interprets dataset as a continuous sequence of result values of a certain function y = f(x,..). Each sample is created by a sliding window of size = number of inputs + number of outputs. Window is shifting "size" values towards the end of the set at a time. Example: network has 3 inputs and 2 outputs, set contains 10 values which totals in 2 available samples. More...

`#include <helpers.h>`

Inheritance diagram for Sequential_Diffs_No_Repeat_Interpreter:

Collaboration diagram for Sequential_Diffs_No_Repeat_Interpreter:

## Public Member Functions | |

virtual void | refresh () |

Re-index training samples (use when training set was modified). | |

virtual Data_Set_Interpreter::Sample | operator[] (const unsigned int i) |

Training samples are addressed by 0-based index. |

Interprets dataset as a continuous sequence of result values of a certain function y = f(x,..). Each sample is created by a sliding window of size = number of inputs + number of outputs. Window is shifting "size" values towards the end of the set at a time. Example: network has 3 inputs and 2 outputs, set contains 10 values which totals in 2 available samples.