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make-new-project.py
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René Schöne authored
- Fixed pattern to parse datetime coming from openHAB. - add benchmark - Create RecognitionEvents in component Plan. - Add expression printing and fix expression tests. - Fixing tests. - Remove build artefacts of datasets module. - Fixing item behavior. - Fix bug when adding item using REST API. - More debug output for REST application and MQTT receiver - Flush cache if new MQTT Host is set - first integration for test - update integration activity ML - add item room_brightness - add ML Items in starter file - fix import error - update newData function - Fix Learner bugs. - Let ExternalMachineLearningModel.check() return true instead of throwing an exception - In Learner, use temporary files to store encog model - In MachineLearningImpl, do not use result for now (as newData won't work at the moment) - Minor fixes for base (add logger, add correct input to jastadd gradle task) - Progressing to integration of machine learning. - Added setKnowledgeBase to MachineLearningEncoder and -Decoder, and removed Root argument in other methods - Changed Learner-Impl to match new adapters - Updated starter to new adapters, and to use CSV files for initialization of learner - update readercsv - Fix imports and dependencies. - Fix errors with changed MachineLearningEncoder interface. - upate learner - add ML interfaces - implement decode encode - learner with activity and preference
René Schöne authored- Fixed pattern to parse datetime coming from openHAB. - add benchmark - Create RecognitionEvents in component Plan. - Add expression printing and fix expression tests. - Fixing tests. - Remove build artefacts of datasets module. - Fixing item behavior. - Fix bug when adding item using REST API. - More debug output for REST application and MQTT receiver - Flush cache if new MQTT Host is set - first integration for test - update integration activity ML - add item room_brightness - add ML Items in starter file - fix import error - update newData function - Fix Learner bugs. - Let ExternalMachineLearningModel.check() return true instead of throwing an exception - In Learner, use temporary files to store encog model - In MachineLearningImpl, do not use result for now (as newData won't work at the moment) - Minor fixes for base (add logger, add correct input to jastadd gradle task) - Progressing to integration of machine learning. - Added setKnowledgeBase to MachineLearningEncoder and -Decoder, and removed Root argument in other methods - Changed Learner-Impl to match new adapters - Updated starter to new adapters, and to use CSV files for initialization of learner - update readercsv - Fix imports and dependencies. - Fix errors with changed MachineLearningEncoder interface. - upate learner - add ML interfaces - implement decode encode - learner with activity and preference