@@ -310,23 +310,30 @@ class SummaryEncoder(BaseEstimator, util.TransformerWithTargetMixin):
310310 >>> print(numeric_dataset.info())
311311 <class 'pandas.core.frame.DataFrame'>
312312 RangeIndex: 506 entries, 0 to 505
313- Data columns (total 13 columns):
314- CRIM 506 non-null float64
315- ZN 506 non-null float64
316- INDUS 506 non-null float64
317- CHAS 506 non-null float64
318- NOX 506 non-null float64
319- RM 506 non-null float64
320- AGE 506 non-null float64
321- DIS 506 non-null float64
322- RAD 506 non-null float64
323- TAX 506 non-null float64
324- PTRATIO 506 non-null float64
325- B 506 non-null float64
326- LSTAT 506 non-null float64
327- dtypes: float64(13)
328- memory usage: 51.5 KB
329- None
313+ Data columns (total 19 columns):
314+ # Column Non-Null Count Dtype
315+ --- ------ -------------- -----
316+ 0 CRIM 506 non-null float64
317+ 1 ZN 506 non-null float64
318+ 2 INDUS 506 non-null float64
319+ 3 CHAS 506 non-null float64
320+ 4 NOX 506 non-null float64
321+ 5 RM 506 non-null float64
322+ 6 AGE 506 non-null float64
323+ 7 DIS 506 non-null float64
324+ 8 RAD 506 non-null float64
325+ 9 TAX 506 non-null float64
326+ 10 PTRATIO 506 non-null float64
327+ 11 B 506 non-null float64
328+ 12 LSTAT 506 non-null float64
329+ 13 CHAS_25 506 non-null float64
330+ 14 RAD_25 506 non-null float64
331+ 15 CHAS_50 506 non-null float64
332+ 16 RAD_50 506 non-null float64
333+ 17 CHAS_75 506 non-null float64
334+ 18 RAD_75 506 non-null float64
335+ dtypes: float64(19)
336+ memory usage: 75.2 KB
330337
331338 References
332339 ----------
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