Mercurial > repos > bgruening > keras_model_config

comparison label_encoder.py @ 15:6eb4e7fb0f91 draft

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planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
author bgruening
date Wed, 09 Aug 2023 13:23:40 +0000
parents 0c933465d70e
children
comparison
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14:8a794e6d3388 15:6eb4e7fb0f91
19 19
20 outfile : str 20 outfile : str
21 File path to output vector 21 File path to output vector
22 22
23 """ 23 """
24 warnings.simplefilter('ignore') 24 warnings.simplefilter("ignore")
25 25
26 with open(inputs, 'r') as param_handler: 26 with open(inputs, "r") as param_handler:
27 params = json.load(param_handler) 27 params = json.load(param_handler)
28 28
29 input_header = params['header0'] 29 input_header = params["header0"]
30 header = 'infer' if input_header else None 30 header = "infer" if input_header else None
31 31
32 input_vector = pd.read_csv(infile, sep='\t', header=header) 32 input_vector = pd.read_csv(infile, sep="\t", header=header)
33 33
34 le = LabelEncoder() 34 le = LabelEncoder()
35 35
36 output_vector = le.fit_transform(input_vector) 36 output_vector = le.fit_transform(input_vector)
37 37
38 np.savetxt(outfile, output_vector, fmt="%d", delimiter='\t') 38 np.savetxt(outfile, output_vector, fmt="%d", delimiter="\t")
39 39
40 40
41 if __name__ == '__main__': 41 if __name__ == "__main__":
42 aparser = argparse.ArgumentParser() 42 aparser = argparse.ArgumentParser()
43 aparser.add_argument("-i", "--inputs", dest="inputs", required=True) 43 aparser.add_argument("-i", "--inputs", dest="inputs", required=True)
44 aparser.add_argument("-y", "--infile", dest="infile") 44 aparser.add_argument("-y", "--infile", dest="infile")
45 aparser.add_argument("-o", "--outfile", dest="outfile") 45 aparser.add_argument("-o", "--outfile", dest="outfile")
46 args = aparser.parse_args() 46 args = aparser.parse_args()