Exercise

Store Pipeline

You'll now create the Pipeline again, but directly, skipping the step of initializing the StandardScaler and LogisticRegression as a variable. Instead, you will do the initialization as part of the Pipeline creation.

You'll then store the model for further use.

The data is available as X_train, with the labels as y_train.

StandardScaler, LogisticRegression and Pipeline have been imported for you.

Instructions 1/3

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Create a Pipeline object, using a StandardScaler and a LogisticRegression.
Fit the pipeline to X_train and y_train.