| 346 | |
| 347 | template <typename T> |
| 348 | void configure_trainer ( |
| 349 | const std::vector<std::vector<dense_vect> >& samples, |
| 350 | structural_sequence_segmentation_trainer<T>& trainer, |
| 351 | const segmenter_params& params |
| 352 | ) |
| 353 | { |
| 354 | pyassert(samples.size() != 0, "Invalid arguments. You must give some training sequences."); |
| 355 | pyassert(samples[0].size() != 0, "Invalid arguments. You can't have zero length training sequences."); |
| 356 | pyassert(params.window_size != 0, "Invalid window_size parameter, it must be > 0."); |
| 357 | pyassert(params.epsilon > 0, "Invalid epsilon parameter, it must be > 0."); |
| 358 | pyassert(params.C > 0, "Invalid C parameter, it must be > 0."); |
| 359 | const long dims = samples[0][0].size(); |
| 360 | |
| 361 | trainer = structural_sequence_segmentation_trainer<T>(T(dims, params.window_size)); |
| 362 | trainer.set_num_threads(params.num_threads); |
| 363 | trainer.set_epsilon(params.epsilon); |
| 364 | trainer.set_max_cache_size(params.max_cache_size); |
| 365 | trainer.set_c(params.C); |
| 366 | if (params.be_verbose) |
| 367 | trainer.be_verbose(); |
| 368 | } |
| 369 | |
| 370 | // ---------------------------------------------------------------------------------------- |
| 371 |
no test coverage detected