test_rmsn.sh

#!/usr/bin/env bash

############################################################################################################################
# Script to demonstrate sequence to run for R-MSN training
#
# Notes:
# - Full hyperparameter optimisation is skipped right now, such that models trained with optimal params only
# - To run with hyperparameter optimisation, see the "EDIT ME!" sections at the top of each script it the seqeuence
############################################################################################################################

echo Commencing R-MSN Training...
echo 1 - Fitting Propensity Networks
python script_rnn_fit.py propensity_networks

echo 2 - Generating Propensity Scores  # models to used defined at the start of script
python script_propensity_generation.py

echo 3 - Fitting R-MSN Encoder 
python script_rnn_fit.py encoder

echo 4 - Fitting R-MSN Decoder [ Seq2Seq ]
python script_decoder_fit.py

echo Training Complete.

echo Commencing R-MSN Tests...
echo 1 - Testing one-step-ahead  [decoder] predictions
python script_rnn_test.py

echo 2 - Testing multi-step [encoder] predictions
python script_decoder_test.py 

echo Testing Complete.