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An implementation of the tools described in the paper entitled "Graphical-model based estimation and inference for differential privacy"

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Adding a few changes to output AIM model in addition to synthetic data, and support weighted marginals in workload. `run()` outputs the AIM model and the synthetic data, with option...

I am trying to run [torch_example.py](https://github.com/ryan112358/private-pgm/blob/master/examples/torch_example.py) but I am getting the following error: ``` Traceback (most recent call last): File "/Users/jakeetaylor/private-pgm/examples/torch_example.py", line 68, in model = engine.estimate(measurements, total=total, engine='RDA') File...

Hi, I noticed some unknown modules in the mechanisms. For example, in `mechanisms/aim.py`, the modules `dpsynth` and `hdmm` are not officially distributed in PyPI. Where can I find them? Thanks!

Hi, Just curious. What are the steps taken to discretize the adult dataset into what is here as `data/adult.csv`? I notice that `fnlwgt` in particular is discretized pretty heavily, for...

Could you provide the NIST scoring scripts that were used to obtain the following scores from your paper?

Hello. Can you include how you measured (L1, workload) error in the toy and the adult example?

Using the default params of the adult dataset, I got ``` $ python mst.py Traceback (most recent call last): File "/Users/test/Library/Mobile Documents/com~apple~CloudDocs/Cloud/private-pgm/mechanisms/mst.py", line 199, in synth = MST(data, args.epsilon, args.delta)...

As titled, I'd like to know how to call `.synthetic_data` on a `LocalInference` like with `FactoredInference`