- Model Application

Logistic regression

Now that we have prepared our training and test datasets, we can use the logistic regression algorithm provided by MLlib to fit the training dataframe.

1. We first create a logistic regression object and define the columns to use as labels and features.
2. Next, we use the fit function to train the model on the training dataset.
3. In the last step in the snippet below, we use the transform function to apply the model to our test dataset.