* Hot fix for bug that occasionally leads to `LinAlgError: SVD did not converge` error when fitting caltrack hourly models by converting the weights from `np.float64` ton `np.float32`.
2.3.0
-----
* Fix bug where the model prediction includes features in the last row that should be null. * Fix in `transform.get_baseline_data` and `transform.get_reporting_data` to enable pulling a full year of data even with irregular billing periods
2.2.10
------
* Added option in `transform.as_freq` to handle instantaneous data such as temperature and other weather variables.
2.2.9
-----
* Predict with empty formula now returns NaNs.
2.2.8
-----
* Update `compute_occupancy_feature` so it can handle instances where there are less than 168 values in the data.
2.2.7
-----
* SegmentModel becomes CalTRACKSegmentModel, which includes a hard-coded check that the same hours of week are in the model fit parameters and the prediction design matrix.