Brief instructions on running the various scripts and getting started with the classification.

1. In the TPA_Classifier directory,

   bokeh serve classifier.py --port 5006 --args -psrlist tpa_psrs.list -tags classifier_tags.list
   

   This will launch the classifier in localhost:5006. The classifier can then be viewed in http://localhost:5006/classifier in your local browser.

   While using the TPADocker: Forward this to your local machine by running ssh psr@localhost -p 2222 -L 5006:localhost:5006

2. After classification, run

python getcsv.py -psrlist tpa_psrs.list -psrcat psrcat_params.list -custom custom_params.list -save saved_queries/<somename>

This will create a set of files in the directory saved_queries, which will be used by the ppdot_visualizer.

3. Now run the ppdot-visualiser,

bokeh serve ppdot_visualise.py --port 5007 --args -load saved_queries/<somename>.pckl -psrcat saved_queries/<somename>_fullcat.pckl -tags classifier_tags.list

This will launch it in localhost:5007, which is to be launched as previously instructed.