Created
June 27, 2019 21:17
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def load_data(datafile, encoder=None): | |
data = pd.read_csv(datafile, header=0, low_memory=False) | |
data_y = data[['job_performance']] | |
data_x = data.drop(['job_performance'], axis=1) | |
data_x.replace([np.inf, -np.inf], np.nan, inplace=True) | |
data_x.fillna(data_x.mean(), inplace=True) | |
if not encoder: | |
encoder = OneHotEncoder(handle_unknown='ignore', categories='auto') | |
fnc = encoder.fit_transform | |
else: | |
fnc = encoder.transform | |
data_x2 = data_x.drop(data_x.select_dtypes(object).columns, axis=1) | |
dummies = pd.DataFrame( | |
fnc(data_x.select_dtypes(object) | |
.iloc[:,:287] | |
.fillna(0) | |
.astype(str)).toarray(), | |
index=data_x.index, | |
dtype=int) | |
data_x = pd.concat([data_x2, dummies], axis=1) | |
return (data_x, data_y, encoder) |
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