False by default. Centers the data with mean before scaling. It will build a dense output, so this does not work on sparse input and will raise an exception.
True by default. Scales the data to unit standard deviation.
Computes the mean and variance and stores as a model to be used for later scaling.
The data used to compute the mean and variance to build the transformation model.