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.
## Description There is a bug regarding the ClassificationAccuracy scorer, where if a model outputs a float value as its classification (eg. 4.0 instead of 4) , it cannot be...
## Describe the bug Something bad happened!? A clear and concise description of what the bug is. ## Steps To Reproduce What were you doing when the bug happened. ```python...
Recording: https://youtu.be/3jn76BRa9yA?t=1200
``` $ alice shouldi reuse https://github.com/pdxjohnny/httptest Traceback (most recent call last): File "/home/pdxjohnny/Documents/python/dffml/dffml/df/memory.py", line 1203, in run_dispatch outputs = await self.run( File "/home/pdxjohnny/Documents/python/dffml/dffml/df/memory.py", line 1168, in run return await self.run_no_retry(ctx,...
- Legal requirements (see 2022-04-08 video) - Code review pyramid - CI checks - etc.
[## Pain Point What is it that isn't as good as it could be ## Proposed Solution What would make things behave most smoothly ](https://docs.github.com/en/enterprise-cloud@latest/get-started/learning-about-github/about-github-advanced-security)
## Pain Point What is it that isn't as good as it could be ## Proposed Solution What would make things behave most smoothly
GitHub and other services have ratelimited APIs, we should come up with a pateren for operation / dataflow usage which shows how to easily comply with rate limits
References: - https://github.com/intel/dffml/issues/954
The goal here is to figure out how we might integrate wasm into dataflows. Maybe via an operation which takes the wasm in it's config. References: - All docs on...