Comments (1)
Somehow of course this would be nice, but due to lack of need, we will close this now. This is more of a nice to have meanwhile, which is why we postpne this to a time, when someone feels, it would be useful again. If you read this and think the time has come, feel free to reopen this issue.
By the way, we meant this repo: https://github.com/harislulic/ZeMA-machine-learning-tutorials
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Related Issues (20)
- There seems to be a bug with an occurence of self.value_unc instead of self._value_unc in metrological_streams
- Restructure the agents' modules to keep the namespaces from getting cluttered and the modules from getting huge
- Align cosine and sine default frequencies
- Remove legacy self.memory from metrological monitor agent
- Properly document input_data_maxlen and output_data_maxlen in metrological_agents
- Include refactoring and performance types in the CONTRIBUTING.md HOT 1
- Provide key facts for the new project homepage in bullet point style HOT 5
- Consider changing server listening on localhost i.e. 127.0.0.1 to listening on all interfaces i.e. 0.0.0.0 HOT 4
- Consider moving tutorials into namespace agentMET4FOF
- Incorporate valuable changes from NPL's code
- Consider including the agentMET4FOF version number in the start up message, that gets printed out on the console
- Labeling of agents HOT 1
- Make sure Mesa does not get tested against naming an agent just with a space HOT 1
- Consider making data sources and generator functions consistent in their default return types
- Improve debugging documentation
- Consider refactoring of AgentMet4FoF to an abstract base class
- Tutorials with OSBrain as backend don't run with PyCharm on Windows HOT 5
- Find a way to log data processing in pipelines
- This site canβt be reached127.0.0.1 refused to connect. HOT 16
- Set data source to handle pd.DataFrame correctly HOT 1
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