John
Follow the new model tutorial (the Oregon COVID data example may also be helpful). Then try to implement a model using Orion https://sintel.dev/Orion/ https://github.com/sintel-dev/Orion
``` 478 if auto_def_outputs and len(self.parent.op.outputs) == 1: 479 if inspect.isasyncgen(result): 480 481 async def convert_asyncgen(outputs): 482 async for yielded_output in outputs: 483 yield { 484 list(self.parent.op.outputs.keys())[ 485 0 486...
## Pain Point Currently when a use modifies `dataflow.flow` the dataflow is not updated unless `dataflow.update()` is called. For example: https://github.com/intel/dffml/blob/8c87efaf55707bf1c3f72406226de85111fb7681/examples/io/io_usage.py#L11-L49 ## Proposed Solution Ideally whenever `flow` is modified, or...
DFFML has started it's [web UI](https://intel.github.io/dffml/master/webui/). Using something like https://github.com/alyssaxuu/flowy, we need to enable users to visually create dataflows.  This is similar to [](https://intel.github.io/dffml/usage/integration.html) but instead of creating...
We need to make `InputSetContext` 's contain some information about the identity of the entity executing that context. This will assist with resource allocation, isolation from a security perspective, and...
Implement operations for resources listed on https://www.openculture.com/2016/05/1-8-million-free-works-of-art-from-world-class-museums-a-meta-list.html
Orchestrator for running dataflows in kubernetes using individual jobs.
```console $ dffml version Traceback (most recent call last): File "/usr/local/bin/dffml", line 8, in sys.exit(CLI.main()) File "/usr/local/lib/python3.9/dist-packages/dffml/util/cli/cmd.py", line 272, in main result = loop.run_until_complete(cls._main(*argv[1:])) File "/usr/lib/python3.9/asyncio/base_events.py", line 642, in run_until_complete...
Use the operations added in #1327 within https://intel.github.io/dffml/master/examples/integration.html#training-our-model