v1.2.0

What's Changed

• Add intermediate API's to all models. by @aadyotb in #90
  • Internal changes; should not cause any breaking changes for end users.
  • Implements train(), forecast(), and get_anomaly_score() at the level of the base class for all models. Each of these methods respectively calls an implementation-specific _train(), _forecast(), or _get_anomaly_score().
  • The base classes now include much of what was previously boilerplate code that had to be duplicated for each model (applying pre-processing transforms, converting standard errors to inter-quartile ranges, training post-rules, etc.).
• Fix forecasting bugs when return_prev=True. by @aadyotb in #97

Major Changes Since v1.1.0

• Added intermediate API's to all models.
• Made installation more lightweight.
• Changed Python-Java bridge from jpype to py4j, for improved robustness in multiprocessing settings.
• Various bugfixes.

Full Changelog: v1.1.3...v1.2.0