Passing through columns in scikit-learn typically means that those columns are not subjected to any transformations. There are a few ways to do this in scikit-learn.
1. Using ColumnTransformer
One way to pass through columns is to use the passthrough
parameter in a ColumnTransformer
object. Here’s an example:
In this example, we use the 'passthrough'
string for the transformer object in the tuple corresponding to the columns that we want to pass through. We also include a StandardScaler
transformer for the other columns. The resulting transformed data will include the original ‘sepal length (cm)’ and ‘sepal width (cm)’ columns.
2. Using FunctionTransformer
Another way to pass through columns is to use a FunctionTransformer
object in a Pipeline
. Here’s an example:
In this example, we define a Pipeline
with a ColumnTransformer
object followed by a StandardScaler
object. We specify the columns to pass through using the 'passthrough'
string, and we specify those columns in the third element of the tuple.