Created
February 23, 2018 11:52
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Blogpost-Heineken8
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| def force_float_df(df): | |
| def force_float_col(x): | |
| try: | |
| return x.astype(float) | |
| except: | |
| return pd.factorize(x)[0] | |
| return df.apply(force_float_col) | |
| forward_sale_cols = ['weekly_sales1', 'weekly_sales2'] | |
| drop_cols = ['date'] | |
| all_drop_cols = forward_sale_cols + drop_cols | |
| X_pd = df_features.drop(all_drop_cols, axis=1) | |
| X_pd_num = force_float_df(X_pd).values | |
| y = df_features[forward_sale_cols].values |
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