0.2.3

Bug fixes:

• Data reindexing while imputation fixed at the presence of missing / invalid data

Scoring logic updates:

• Model uncertainty is taken into consideration while making stationarity adjustments while scoring WindowDensityModel

0.2.2

Bug fixes:

False positives due to detrending failure for shorter history time series in WindowDensityModel

0.2.1

• 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.

0.1.0

Making Luminaire available as a beta release.

Details:

• Core Luminaire code base
• Documentation:
  • Readme https://github.com/zillow/luminaire/blob/master/README.md
  • Github pages https://zillow.github.io/luminaire/
• CI/CD pipeline workflow for build, release and documents
• Improved code/files organization

Doc updates

Merge pull request #35 from zillow/issue26-slowdown-workflow-gif

docs and version update