dffml
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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.
``` /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,...
@shauryaDugar will be contributing a model based on mobilenet
Need to add the following as a page on the docs site: --- DFFML has a logo! https://github.com/intel/dffml  [Saahil Ali](https://www.linkedin.com/in/ACoAACgHETgBuh1yIBNZ2Hq9SD7tNklizg-xoE8) reached out to Jason Long, who designed Git's logo,...
Related: https://github.com/intel/dffml/pull/1273/files#r794027710
When you run: ```bash dffml service dev install ``` It breaks on auto-sklearn due to missing dependencies...
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...