Updates to the base library:
- optimized linear algebra, fixed few bugs in regression
- added moving average, variance, covariance
- updated feature generators to work well on stream
- svm trainset can wrap around linear algebra objects
- linux process memory consumption
- optimized cache
- added features to json object representation
Updated critical section to not lock within same thread.
Updates to QMiner:
- can have more then 255 stores
- feature extractors behave well on streams
- added moving average, variance and covariance stream aggregators
- removed some deprecated stream aggregators
- added javascript obojects: TFltV, TIntV, TSpV, TSpMatrix
- fixed bug in http request handling
- fixed bug reporting in require module loading
Added wrappers around
Updated to JS libraries
- added utilities and analytics module
- wrapper for training batch models (SVM) for classification and regression in analytics.js
- added console line (console.start)
Updated movies and time series tests. Added record and feature space tests.
Added example showing how to use classification and regression based around movie data.
Reorganized javascript tests.
Added stuff to ignore list
Added script to initialize javascript tests.