forked from kubapok/auta-public
Modify script
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2000
dev-0/out.tsv
2000
dev-0/out.tsv
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7
main.py
7
main.py
@ -29,7 +29,7 @@ def get_train_data(names: list):
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train_path = os.path.join(MAIN_DIR, TRAIN_DIR, TRAIN_FILE_NAME)
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train_path = os.path.join(MAIN_DIR, TRAIN_DIR, TRAIN_FILE_NAME)
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check_file(train_path)
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check_file(train_path)
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train_data = process_input(pandas.read_csv(
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train_data = process_input(pandas.read_csv(
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train_path, header=None, sep=VALUE_SEP, names=names))
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train_path, header=None, sep=VALUE_SEP, names=names), names)
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train_data = train_data.loc[(train_data[names[0]] > 1000)]
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train_data = train_data.loc[(train_data[names[0]] > 1000)]
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@ -42,10 +42,11 @@ def get_train_data(names: list):
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def get_input_data(dirname, names):
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def get_input_data(dirname, names):
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in_path = os.path.join(dirname, IN_FILE_NAME)
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in_path = os.path.join(dirname, IN_FILE_NAME)
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check_file(in_path)
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check_file(in_path)
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return process_input(pandas.read_csv(in_path, header=None, sep=VALUE_SEP, names=names[1:]))
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return process_input(pandas.read_csv(in_path, header=None, sep=VALUE_SEP, names=names[1:]), names)
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def process_input(df):
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def process_input(df, names):
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df = df.drop([names[4]], axis=1)
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for c in df.select_dtypes(include=object).columns.values:
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for c in df.select_dtypes(include=object).columns.values:
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df[c] = df[c].astype(CATEGORY_TYPE).cat.codes
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df[c] = df[c].astype(CATEGORY_TYPE).cat.codes
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return df
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return df
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2000
test-A/out.tsv
2000
test-A/out.tsv
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