- Improved automatic window size detection logic added for the WindowDensityModel
0.2.0
- WindowDensity model improvements for streaming and high-frequency time series - Full automation in training and scoring the window density model - Minor version upgrades for package dependencies (more on the way!) - Bugfixes
0.2.0.dev1
Dev release for v0.2.0.
This release includes the following: - Improved WindowDensity modeling for streaming use cases. - Bringing automation in configuring window density model for streaming use cases.
0.1.4
- Minor bug fixes applied to hyperparameter optimization. - Updates in docs and readme.
0.1.3
- training_start and training_end are removed from required parameters for training the window density model - doc corrections and updates
0.1.1
This release fixes the bug 52 for ‘T’ and ‘15T’ pandas frequencies for window density model. Minor documentation updates.