Exercise: Format Data & Train the LinearLearner

Train your Estimator

After defining a model, you can format your training data and call .fit() to train the LinearLearner .

In the notebook, these exercises look as follows:

EXERCISE: Convert data into a RecordSet format

Prepare the data for a built-in model by converting the train features and labels into numpy array's of float values. Then you can use the record_set function to format the data as a RecordSet and prepare it for training!

# create RecordSet of training data
formatted_train_data = None

EXERCISE: Train the Estimator

After instantiating your estimator, train it with a call to .fit(), passing in the formatted training data.

%%time 
# train the estimator on formatted training data

Complete this code, and you may check out a solution, next!

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