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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.

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``` /home/runner/work/dffml/dffml/model/pytorch/dffml_model_pytorch/pytorch_base.py:181: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this,...

bug
good first issue
kind/ml
p1

@shauryaDugar will be contributing a model based on mobilenet

enhancement
kind/ml

Need to add the following as a page on the docs site: --- DFFML has a logo! https://github.com/intel/dffml ![dffml-logo](https://user-images.githubusercontent.com/5950433/152667418-905b1135-72d1-4f49-92c6-6c8d64c355a7.png) [Saahil Ali](https://www.linkedin.com/in/ACoAACgHETgBuh1yIBNZ2Hq9SD7tNklizg-xoE8) reached out to Jason Long, who designed Git's logo,...

documentation

Related: https://github.com/intel/dffml/pull/1273/files#r794027710

enhancement

When you run: ```bash dffml service dev install ``` It breaks on auto-sklearn due to missing dependencies...

documentation

Equivilant of gitpod (could use local containers on linux, or WSL2, or k8s?)

Related: https://github.com/intel/dffml/pull/1292 Related: https://github.com/intel/dffml/runs/4914648319?check_suite_focus=true

Some models use their accuracy as their confidence for a given prediction. We should separate out the confidence for a prediction into a separate data structure so that we avoid...

enhancement
kind/ml
p1
tL