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>
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. | |
Detailed Description
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.
