SGD sliding window

SGD sliding window is a Support Vector Machines (SVM) classifier using a sequence tagging approach (moving window) and is trained with Stochastic Gradient Descent (SGD).

As for SVM and Passive Agressive, the configuration of the SGD is tuned in order to preserve the original distribution of the dataset.

This model can be used in an online training pipeline because it can digest batches of data to perform partial training, so in Platform it's available for both Auto-ML and Online-ML experiments.