one-hot-encoding

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Is it possible to specify handle_unknown = 'ignore' for certain columns and 'error' for others inside OneHotEncoder?
user_101575870
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7
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4118
one-hot-encoding scikit-learn pandas python
converting tensor to one hot encoded tensor of indices
user_81762850
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16
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27848
one-hot-encoding pytorch
Populate values for categorical data in their respective one-hot encoded columns
user_107804220
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4
4
368
one-hot-encoding pandas dataframe pivot python
create new column with data in a column
user_4627940
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2
2
270
one-hot-encoding pandas dataframe python string
Encode numbers into categorical vectors
user_97704030
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3
4
221
one-hot-encoding r list
One Hot Encoding for top categories, NA, and remaining subsumed as 'others' in R
user_99799550
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3
3
365
one-hot-encoding r
OneHotEncoder - encoding only some of categorical variable columns
user_90246980
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7
1
10077
one-hot-encoding scikit-learn python
ValueError: Columns must be same length as key
user_100938920
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2
1
13806
one-hot-encoding pandas dummy-variable python
How to do one hot encoding in R
user_44580470
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3
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2579
one-hot-encoding r
How do I resolve one hot encoding if my test data has missing values in a col?
user_73940390
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9
3
6619
one-hot-encoding pandas machine-learning numpy
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