Building The Model
PLAsTiCC is a timeseries dataset. Here's the process to create a model using timeseries data:
Preprocessing cleans up the data and establishes base attributes.
Feature Engineering is the task of creating features.
Thousands of features (mostly hand-crafted) are common in PLAsTiCC submissions.
Feature Engineering also eliminates the time domain, replacng it with reduction features (think of "period" replacing a series of amplitudes).
A metric measures the model's performance. Metrics need to be established up front!
Google's Tensorflow provides the framework.