column_indicator: Represents Multi-Hot Representation of Given Categorical...
In rstudio/tflearn: Interface to 'TensorFlow' Estimators
Description
Usage
Arguments
Value
View source: R/feature_columns.R
Description
Used to wrap any column_categorical()* (e.g., to feed to DNN). Use
column_embedding() if the inputs are sparse.
Usage
1
column_indicator(categorical_column)
Arguments
categorical_column
A categorical column which is created by
the column_categorical_with_*() or column_crossed() functions.
Value
An indicator column.
rstudio/tflearn documentation built on Nov. 25, 2021, 2:45 a.m.
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Description Usage Arguments Value
View source: R/feature_columns.R
Description
Used to wrap any column_categorical()* (e.g., to feed to DNN). Use
column_embedding() if the inputs are sparse.
Usage
1 | column_indicator(categorical_column)
|
Arguments
categorical_column |
A categorical column which is created by
the |
Value
An indicator column.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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