Performance improvements for TSBF
While running TSBF on the new data from UCR database for our revisions to the paper, I realized that current R implementation is not efficient. Overall approach is still not implemented in a good way since feature extraction is done separately (C code) where the connection with R is through text files. This affects the time to run TSBF significantly since reading files into matrices in R is taking substantial time (especially for large datasets). To shorten the time for reading feature matrices and handle the memory efficiently, I did the following revisions:
1) Removing matrices that are not used (memory management) illustrated below for some of the matrices.
Please let me know if you have any questions! The direct link to the folder for the updated files is
.