# Step 1: initialise classli
init
    
# Step 2: set the classifier to EXACT_MATCH
set --classifier EXACT_MATCH
    
# Step 3: load gold standard data from file 'gs.csv' in current working directory,
#         skip header record, use all records for training
load --from gs.csv gold_standard -h -t 1.0
    
# Step 4: load unseen data from file 'unseen.csv' in current working directory,
#         skip header record
load --from unseen.csv unseen -h
    
# Step 5: clean loaded gold standard and unseen data using all predefined cleaners
clean -c COMBINED
    
# Step 6: train classifier using all cleaned gold standard data (no internal evaluation)
train -it 1.0
        
# Step 7: classify unseen records, store classified records in file 
#         'classified-unseen.csv' in current working directory
classify -o classified-unseen.csv