Question about tutorial: Model fitting with correlated noise

dfm / george

Fast and flexible Gaussian Process regression in Python

http://george.readthedocs.io

MIT License

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Question about tutorial: Model fitting with correlated noise #121

Open Whitehaawk opened 5 years ago

Whitehaawk commented 5 years ago

Its possible that im dumb, but I am just wondering why in the final fit the truth dict is used for constructing the model

kwargs = dict(**truth) kwargs["bounds"] = dict(location=(-2, 2)) mean_model = Model(**kwargs)

dfm commented 5 years ago

In that step, we're initializing the model parameters. I agree that it's a bit convoluted to initialize at the truth, but it was the easiest option for the tutorial. They will then get updated when optimizing and sampling so the results aren't just showing the truth!