Turns vector<double> into a collection of training samples, this is only a base class, no relevant implementation. More...
#include <helpers.h>
Inheritance diagram for Data_Set_Interpreter:
Collaboration diagram for Data_Set_Interpreter:
Classes | |
| struct | Sample |
| Training sample, consists of input and desired output pair. More... | |
| struct | Stats |
| Container of statistics gathered over training data set. More... | |
Public Member Functions | |
| Data_Set_Interpreter (unsigned int network_inputs_count, unsigned int network_outputs_count, const std::vector< double > *data_set) | |
| Constructor. | |
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virtual Data_Set_Interpreter::Sample | operator[] (const unsigned int i)=0 |
| Training samples are addressed by 0-based index. | |
| virtual void | refresh ()=0 |
| Re-index training samples (use when training set was modified). | |
| virtual unsigned int | get_samples_count () |
| Returns total count of training samples found in dataset and indexed. | |
| virtual Data_Set_Interpreter::Stats | get_stats () |
| Returns dataset statistics. | |
Detailed Description
Turns vector<double> into a collection of training samples, this is only a base class, no relevant implementation.
