dffml
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intel
The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.
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
Create an orchestrator (orchestrator as dataflow?) to produce a github actions workflow file when run - Make every input an secret
Would be great to allow for making a plugin class from any dataflow, I think this issue might be a duplicate In this case we want a dataflow to be...
Add a model! This issue is for discussion and help needed comments while adding new `Models`s to DFFML. First, get familiar with how models can be used via the DFFML...
This issue is work in progress docs for how our suborg applies to PSF every year. This is **NOT** for students applying to this org, although you may find it...
## Project Description Time-Series Forecasting & Anomaly detection has paramount importance in many real-world problems like infrastructure monitoring, stock exchange, etc. Currently, DFFML has limited integration with time-series data formats...
