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Sklearn transformer output returns more columns with some columns not having the transformation

score 42 · Answer 1 · 2024-03-18T17:57:04.473000

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Sklearn transformer output returns more columns with some columns not having the transformation

42 views Asked by EngineerP At 18 March 2024 at 17:57

score 58 · Answer 2 · 2024-02-23T19:49:38.130000

Combining sequential feature selection with column transformer

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score 20 · Answer 3 · 2024-01-13T06:54:57.490000

Reconstruct sklearn pipeline without storing pre-trained embeddings

20 views Asked by raywib At 13 January 2024 at 06:54

score 85 · Answer 4 · 2023-12-11T20:05:26.073000

python random search with pipeline and lasso features selection

85 views Asked by Harrison Ford At 11 December 2023 at 20:05

score 216 · Answer 5 · 2023-10-28T09:11:43.153000

Dropping a column in sklearn Pipeline after using it to create new features

216 views Asked by Astat At 28 October 2023 at 09:11

score 39 · Answer 6 · 2023-10-03T06:05:43.213000

What methods of its last estimator does a scikit-learn pipeline have?

39 views Asked by Evan Aad At 03 October 2023 at 06:05

score 80 · Answer 7 · 2023-09-28T12:54:45.060000

Why is my double underscore notation not working with nested pipelines in scikit-learn?

80 views Asked by Ted At 28 September 2023 at 12:54

score 266 · Answer 8 · 2023-08-28T16:40:27.570000

How can I use sklearn's make_column_selector to select all valid datetime columns?

266 views Asked by JAdel At 28 August 2023 at 16:40

score 92 · Answer 9 · 2023-08-07T08:02:25.137000

All intermediate steps should be transformers and implement fit and transform or be the string 'passthrough'

92 views Asked by nakoshimati At 07 August 2023 at 08:02

score 167 · Answer 10 · 2023-05-06T01:42:42.523000

Value error using scikit-learn transformers

167 views Asked by GEBRU At 06 May 2023 at 01:42

score 175 · Answer 11 · 2023-03-30T21:06:03.117000

Imputation of mixed data types with pandas and Scikit-Learn

175 views Asked by Rodrigo A At 30 March 2023 at 21:06

score 4884 · Answer 12 · 2023-02-15T16:43:06.113000

AttributeError: 'ColumnTransformer' object has no attribute '_name_to_fitted_passthrough'

4.8k views Asked by Jagadeesh Pangala At 15 February 2023 at 16:43

score 1242 · Answer 13 · 2023-01-08T07:41:31.177000

Is get_feature_names_out from scikit-learn SimpleImputer working?

1.2k views Asked by Joseph At 08 January 2023 at 07:41

score 58 · Answer 14 · 2023-01-06T17:25:05.140000

LassoCV getting axis -1 is out of bounds for array of dimension 0 and other questions

58 views Asked by Gaspard_Boyer At 06 January 2023 at 17:25

score 1785 · Answer 15 · 2023-01-06T03:14:45.240000

How to create pandas output for custom transformers?

1.7k views Asked by Armando Bridena At 06 January 2023 at 03:14

score 512 · Answer 16 · 2023-01-05T12:46:40.027000

Divide by zero encountered in true_divide f = msb / msw with SelectKBest

512 views Asked by Gaspard_Boyer At 05 January 2023 at 12:46

score 149 · Answer 17 · 2023-01-03T15:04:08.920000

Get OOB score within a pipeline for Random Forest

149 views Asked by Gaspard_Boyer At 03 January 2023 at 15:04

score 117 · Answer 18 · 2022-12-21T10:07:11.843000

GLMM alike solution - adding an interaction step as an element of scikit-learn Pipeline for columns transformed in previous steps

117 views Asked by Freejack At 21 December 2022 at 10:07

score 357 · Answer 19 · 2022-12-20T03:17:27.540000

fit() missing 1 required positional argument: 'y'

357 views Asked by rckoprstyo At 20 December 2022 at 03:17

score 234 · Answer 20 · 2022-12-20T01:48:17.583000

Fails to save model after running GridSearchCV with a scikit pipeline

234 views Asked by Li-Pin Juan At 20 December 2022 at 01:48

TechQA.

List Question

Sklearn transformer output returns more columns with some columns not having the transformation

Combining sequential feature selection with column transformer

Reconstruct sklearn pipeline without storing pre-trained embeddings

python random search with pipeline and lasso features selection

Dropping a column in sklearn Pipeline after using it to create new features

What methods of its last estimator does a scikit-learn pipeline have?

Why is my double underscore notation not working with nested pipelines in scikit-learn?

How can I use sklearn's make_column_selector to select all valid datetime columns?

All intermediate steps should be transformers and implement fit and transform or be the string 'passthrough'

Value error using scikit-learn transformers

Imputation of mixed data types with pandas and Scikit-Learn

AttributeError: 'ColumnTransformer' object has no attribute '_name_to_fitted_passthrough'

Is get_feature_names_out from scikit-learn SimpleImputer working?

LassoCV getting axis -1 is out of bounds for array of dimension 0 and other questions

How to create pandas output for custom transformers?

Divide by zero encountered in true_divide f = msb / msw with SelectKBest

Get OOB score within a pipeline for Random Forest

GLMM alike solution - adding an interaction step as an element of scikit-learn Pipeline for columns transformed in previous steps

fit() missing 1 required positional argument: 'y'

Fails to save model after running GridSearchCV with a scikit pipeline

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