diff options
Diffstat (limited to 'do_ml.py')
| -rw-r--r-- | do_ml.py | 28 |
1 files changed, 8 insertions, 20 deletions
@@ -21,23 +21,12 @@ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. """ import time -from colorama import init, Fore, Style +from misc import printc import numpy as np from gauss_kernel import gauss_kernel from cholesky_solve import cholesky_solve -init() - - -def printc(text, color): - """ - Prints texts normaly, but in color. Using colorama. - text: string with the text to print. - """ - print(color + text + Style.RESET_ALL) - - def do_ml(desc_data, energy_data, training_size, @@ -65,20 +54,19 @@ def do_ml(desc_data, e_len = len(energy_data) if d_len != e_len: printc(''.join(['ERROR. Descriptor data size different ', - 'than energy data size.']), Fore.RED) + 'than energy data size.']), 'RED') return None if training_size > d_len or test_size > d_len: - printc('ERROR. Training or test size greater than data size.', - Fore.RED) + printc('ERROR. Training or test size greater than data size.', 'RED') return None tic = time.perf_counter() if show_msgs: - printc('{} ML started, with parameters:'.format(desc_type), Fore.CYAN) - printc('\tTraining size: {}'.format(training_size), Fore.BLUE) - printc('\tTest size: {}'.format(test_size), Fore.BLUE) - printc('\tSigma: {}'.format(sigma), Fore.BLUE) + printc('{} ML started, with parameters:'.format(desc_type), 'CYAN') + printc('\tTraining size: {}'.format(training_size), 'BLUE') + printc('\tTest size: {}'.format(test_size), 'BLUE') + printc('\tSigma: {}'.format(sigma), 'BLUE') Xcm_training = desc_data[:training_size] Ycm_training = energy_data[:training_size] @@ -98,6 +86,6 @@ def do_ml(desc_data, tictoc = toc - tic if show_msgs: printc('\t{} ML took {:.4f} seconds.'.format(desc_type, tictoc), - Fore.GREEN) + 'GREEN') return mae, tictoc |