m@32: import numpy as np
m@32: import sys
m@32: sys.path.append('../')
m@32: import scripts.load_dataset as load_dataset
m@32: 
m@32: df = load_dataset.sample_dataset(csv_file=load_dataset.METADATA_FILE)
m@32: OUTPUT_FILES = load_dataset.OUTPUT_FILES
m@32: n_iters = 1
m@32: n = int(sys.argv[1])
m@32: 
m@32: #for n in range(n_iters):
m@32: if 1:
m@32:     print "iteration %d" % n
m@32:     load_dataset.OUTPUT_FILES = [output_file.split('.pickle')[0]+'_'+str(n)+'.pickle' for 
m@32:                                  output_file in OUTPUT_FILES]
m@32:     load_dataset.features_for_train_test_sets(df, write_output=True)