Python get_paths Examples

Example #1

def postprocess(test_path):
    submit_path = 'home/' + function.get_paths()['SUBMISSION_PATH']
    os.chdir('post_processing')
    cmd = 'sh ./post_processing.sh {0} home/features/Astar_test.f home/scores/final.score {1}'.format(
        test_path, submit_path)
    print cmd
    os.system(cmd)

Example #2

def predict(test_path):
    model_path = 'home/' + function.get_paths()['MODEL_DIR_PATH']
    os.chdir('train_and_predict')
    train_dir = os.getcwd()

    test_file = 'home/features/all_test.f'

    os.chdir('Kmeans')
    cmd = 'python train_predict.py home/features/Kmeans_train+valid.f home/features/Kmeans_test.f {0} home/scores/K.score'.format(
        test_path)
    print cmd
    os.system(cmd)
    os.chdir(train_dir)

    os.chdir('BinarySearch')
    cmd = './predict.sh {0} {1} {2}BS.model home/scores/BS.score'.format(
        test_file, test_path, model_path)
    print cmd
    os.system(cmd)
    os.chdir(train_dir)

    os.chdir('Astar')
    cmd = 'python predict.py {0} {1} {2}AS.model home/scores/AS.score'.format(
        test_file, test_path, model_path)
    print cmd
    os.system(cmd)
    os.chdir(train_dir)

Example #3

File: predict.py Project: 4sp1r3/track1

def main():

	top_dir = os.getcwd()
	raw_dir = 'home/' + function.get_paths()['TRAIN_DATA_DIR_PATH']
	aux_dir = 'home/auxiliary_data/'
	test_path = 'home/' + function.get_paths()['TEST_DATA_PATH']
	function.generate_features(raw_dir, aux_dir+'dummyTrain.csv', test_path, '_null.f', '_test.f')
	os.chdir(top_dir)
	
	concate_features()
	os.chdir(top_dir)
	
	predict(test_path)
	os.chdir(top_dir)
	
	weighted_average()
	os.chdir(top_dir)

	postprocess(test_path)
	os.chdir(top_dir)

Example #4

def main():

    top_dir = os.getcwd()
    raw_dir = 'home/' + function.get_paths()['TRAIN_DATA_DIR_PATH']
    aux_dir = 'home/auxiliary_data/'
    test_path = 'home/' + function.get_paths()['TEST_DATA_PATH']
    function.generate_features(raw_dir, aux_dir + 'dummyTrain.csv', test_path,
                               '_null.f', '_test.f')
    os.chdir(top_dir)

    concate_features()
    os.chdir(top_dir)

    predict(test_path)
    os.chdir(top_dir)

    weighted_average()
    os.chdir(top_dir)

    postprocess(test_path)
    os.chdir(top_dir)

Example #5

def main():
    top_dir = os.getcwd()

    raw_dir = 'home/' + function.get_paths()['TRAIN_DATA_DIR_PATH']
    cmd = 'python util/gen_Train+Valid.py {0}Train.csv {0}Valid.csv {0}ValidSolution.csv auxiliary_data/Train+Valid.csv'.format(
        function.get_paths()['TRAIN_DATA_DIR_PATH'])
    print cmd
    os.system(cmd)

    function.generate_features(raw_dir, raw_dir + 'Train.csv',
                               raw_dir + 'Valid.csv', '_train.f', '_valid.f')
    os.chdir(top_dir)

    concate_features()
    os.chdir(top_dir)

    set_list = ['all', 'Kmeans']
    merge_train_and_valid(set_list, raw_dir)
    os.chdir(top_dir)

    train()
    os.chdir(top_dir)

Example #6

File: train.py Project: 4sp1r3/track1

def train():
	model_path = 'home/' + function.get_paths()['MODEL_DIR_PATH']
	os.chdir('train_and_predict')
	train_dir = os.getcwd()

	train_file = 'home/features/all_train+valid.f'
	ref_file = 'home/auxiliary_data/Train+Valid.csv'

	os.chdir('BinarySearch')
	cmd = './train.sh {0} {1} {2}BS.model'.format(train_file, ref_file, model_path)
	print cmd
	os.system(cmd)
	os.chdir(train_dir)
	
	os.chdir('Astar')
	cmd = 'python train.py {0} {1} {2}AS.model -m 1'.format(train_file, ref_file, model_path)
	print cmd
	os.system(cmd)
	os.chdir(train_dir)

Example #7

File: train.py Project: 4sp1r3/track1

def main():
	top_dir = os.getcwd()

	raw_dir = 'home/' + function.get_paths()['TRAIN_DATA_DIR_PATH']
	cmd = 'python util/gen_Train+Valid.py {0}Train.csv {0}Valid.csv {0}ValidSolution.csv auxiliary_data/Train+Valid.csv'.format(function.get_paths()['TRAIN_DATA_DIR_PATH'])
	print cmd
	os.system(cmd)
	
	function.generate_features(raw_dir, raw_dir+'Train.csv', raw_dir+'Valid.csv', '_train.f', '_valid.f')
	os.chdir(top_dir)
	
	concate_features()
	os.chdir(top_dir)
	
	set_list = ['all', 'Kmeans']
	merge_train_and_valid(set_list, raw_dir)
	os.chdir(top_dir)

	train()
	os.chdir(top_dir)

Example #8

def train():
    model_path = 'home/' + function.get_paths()['MODEL_DIR_PATH']
    os.chdir('train_and_predict')
    train_dir = os.getcwd()

    train_file = 'home/features/all_train+valid.f'
    ref_file = 'home/auxiliary_data/Train+Valid.csv'

    os.chdir('BinarySearch')
    cmd = './train.sh {0} {1} {2}BS.model'.format(train_file, ref_file,
                                                  model_path)
    print cmd
    os.system(cmd)
    os.chdir(train_dir)

    os.chdir('Astar')
    cmd = 'python train.py {0} {1} {2}AS.model -m 1'.format(
        train_file, ref_file, model_path)
    print cmd
    os.system(cmd)
    os.chdir(train_dir)

Example #9

File: predict.py Project: 4sp1r3/track1

def predict(test_path):
	model_path = 'home/' + function.get_paths()['MODEL_DIR_PATH']
	os.chdir('train_and_predict')
	train_dir = os.getcwd()

	test_file = 'home/features/all_test.f'

	os.chdir('Kmeans')
	cmd = 'python train_predict.py home/features/Kmeans_train+valid.f home/features/Kmeans_test.f {0} home/scores/K.score'.format(test_path)
	print cmd
	os.system(cmd)
	os.chdir(train_dir)
	
	os.chdir('BinarySearch')
	cmd = './predict.sh {0} {1} {2}BS.model home/scores/BS.score'.format(test_file, test_path, model_path)
	print cmd
	os.system(cmd)
	os.chdir(train_dir)
	
	os.chdir('Astar')
	cmd = 'python predict.py {0} {1} {2}AS.model home/scores/AS.score'.format(test_file, test_path, model_path)
	print cmd
	os.system(cmd)
	os.chdir(train_dir)

Example #10

File: predict.py Project: 4sp1r3/track1

def postprocess(test_path):
	submit_path = 'home/' + function.get_paths()['SUBMISSION_PATH']
	os.chdir('post_processing')
	cmd = 'sh ./post_processing.sh {0} home/features/Astar_test.f home/scores/final.score {1}'.format(test_path, submit_path)
	print cmd
	os.system(cmd)