Welcome to HyperStream’s documentation!¶
HyperStream is a large-scale, flexible and robust software package, written in the Python language, for processing streaming data with workflow creation capabilities. HyperStream overcomes the limitations of other computational engines and provides high-level interfaces to execute complex nesting, fusion, and prediction both in online and offline forms in streaming environments. HyperStream is a general purpose tool that is well-suited for the design, development, and deployment of Machine Learning algorithms and predictive models in a wide space of sequential predictive problems.
The code can be found on our Github project page. It is released under the MIT open source license.
Tutorials:
Contents:
- hyperstream package
- Subpackages
- hyperstream.channels package
- Submodules
- hyperstream.channels.assets_channel module
- hyperstream.channels.assets_channel2 module
- hyperstream.channels.base_channel module
- hyperstream.channels.database_channel module
- hyperstream.channels.file_channel module
- hyperstream.channels.memory_channel module
- hyperstream.channels.module_channel module
- hyperstream.channels.tool_channel module
- Module contents
- hyperstream.itertools2 package
- hyperstream.models package
- hyperstream.stream package
- hyperstream.tool package
- hyperstream.utils package
- hyperstream.workflow package
- hyperstream.channels package
- Submodules
- hyperstream.channel_manager module
- hyperstream.client module
- hyperstream.config module
- hyperstream.hyperstream module
- hyperstream.online_engine module
- hyperstream.plugin_manager module
- hyperstream.time_interval module
- hyperstream.version module
- Module contents
- Subpackages
- tests package