0.2.12

• Implemented unit tests for the new features in AnomalyLikelihood class.
• Convert AnomalyLikelihood._historicalScores to a user-configurable sliding window, instead of accumulating all of the incoming data points. This improved performance a ton! Added AnomalyLikelihood.forceModelRefresh() method.
• Update nupic.core to include backwards compatibility fix for RandomImpl.
• Uninstall pycapnp to avoid running tests that utilize the functionality and currently fail with Duplicate ID error.
• Makes pycapnp and corresponding serialization optional. If pycapnp is not installed then the corresponding serialization tests will be skipped.
• Add Multiple Prediction Test for NegLL Metric
• Add test for NegLL Error Metric
• Fix Orphan Decay Bug in temporal memory test
• Change decreasing overlaps test for coordinate encoder to not require a strict decrease (staying the same is ok).
• Allow specifying MonitoredTemporalMemory as TM implementation through OPF
• include bucket likelihood and classifier input in clamodel
• update metrics managers to pass model results to metrics
• introducting a computeFlag to prevent double-computation. * The flag is used to prevent double computation in the event that customCompute() is called at the same time as compute()
• Added numRecords param for consitency with the newly added infer method in FastCLACLassifier
• checking if classifier has a maxCategoryCount attribute. If not, set it to solve backward compatibilities issues
• renaming numCategories to maxCategoryCount to be constistent between KNN and CLA classifier
• made new experimentutils file containing InferenceElement, InferenceType, and ModelResult duplicates which we will want to change in the future