vtreat the bike rental data

In this exercise you will create one-hot-encoded data frames of the July/August bike data, for use with xgboost later on.

The data frames bikesJuly and bikesAugust are in the workspace.

For your convenience, we have defined the variable vars with the list of variable columns for the model.

Load the package vtreat.
Use designTreatmentsZ() to create a treatment plan treatplan for the variables in vars from bikesJuly (the training data).
- Set the flag verbose=FALSE to prevent the function from printing too many messages.
Fill in the blanks to create a vector newvars that contains only the names of the clean and lev transformed variables. Print it.
Use prepare() to create a one-hot-encoded training data frame bikesJuly.treat.
- Use the varRestrictions argument to restrict the variables you will use to newvars.
Use prepare() to create a one-hot-encoded test frame bikesAugust.treat from bikesAugust in the same way.
Call str() on both prepared test frames to see the structure.