Update file README.md

README.md

@@ -79,18 +79,18 @@ Make sure to modify the file ```path.sh``` in order to export the necessary envi
 
 Here is a short overview of the stages:
 
-- stage 0: deletes experiment folder if it exists and runs all subsequent stages in a row
-- stage 1: prepares the data given an experiment folder (e.g., ```DATA/BEAGR```); resulting files are stored in ```exp_*/data/```
-- stage 2: 
+- ```stage=0```: deletes experiment folder if it exists and runs all subsequent stages in a row
+- ```stage=1```: prepares the data given an experiment folder (e.g., ```DATA/BEAGR```); resulting files are stored in ```exp_*/data/```
+- ```stage=2```: 
   - counts frequencies of used codebook entries per speaker
   - if VERBOSE is true this stage also generates log-files
   - **ATTENTION:** if you need to extract features with a CPU, set ```device = torch.device('cpu')``` in the script ```local/codebook_freqs.py``` (default is ```device = torch.device('gpu')```)
   - resulting files are stored in ```exp_*/logs/```, ```exp_*/numpy/``` and```exp_*/txt/```
-- stage 3: prepares and stores a similarty matrix in the folder ```exp_*/numpy/```
-- stage 4: 
+- ```stage=3```: prepares and stores a similarty matrix in the folder ```exp_*/numpy/```
+- ```stage=4```: 
   - performs a PCA on the similarity matrix and plots the PCA space
   - resulting ```*.png```-files are stored in ```exp_*/plots/analysis/```
-- stage 5: 
+- ```stage=5```: 
   - performs k-means on the resulting PCA space and assigns classes
   - **ATTENTION:** the parameter ```nclust``` in the script ```run.sh``` specifies the number of allowed clusters which should be modified depending on the task
   - resulting ```*.png```-files (confusion matrices) are stored in ```exp_*/plots/kmenas/```