Is there a way to retrieve a list of the most contributing features (i.e., k-mer sequences) and their associated weights? I have attempted to pull them by using the sklearn.feature_extraction module to no avail. However, I did notice (with my incredibly limited familiarity with c++) that there appears to be the tokenized feature array objects being passed to fastsk_kernel.cpp. Is this a potential source of extraction? Any help would be greatly appreciated!
Is there a way to retrieve a list of the most contributing features (i.e., k-mer sequences) and their associated weights? I have attempted to pull them by using the sklearn.feature_extraction module to no avail. However, I did notice (with my incredibly limited familiarity with c++) that there appears to be the tokenized feature array objects being passed to fastsk_kernel.cpp. Is this a potential source of extraction? Any help would be greatly appreciated!