depth_points = pm.Uniform(“depth_points”, lower=0, upper=max_depth, shape=num_layers) I want to generate an increasing sequence of numbers. Is there any way to do this? I’d appreciate it.

depth_point_offsets = pm.Uniform(“depth_point_offsets ”, lower=0, upper=max_depth, shape=num_layers) depth_points = pm.Determinstic('depth_points', depth_point_offsets.cumsum()) You can do arbitrary transformations of RVs after you’ve made them, so in this case you could just take their cumulative …

You should think about what prior you want over the sequence. And whether it’s upper bounded by max_depth here. If it’s upper bounded by max_depth, then you can’t just take uniform points in (0, max_depth) and cumulative sum without risk of going over. An alternative that respects n upper bound i…

Thanks so much. I will try this way.

To be clear, @bob-carpenter 's suggestion is related to the logp computation for a hypothetical “ordered bounded uniform” prior. Your could implement that in PyMC as a custom prior, but it’s not typically the way we suggest you work. In PyMC you are declaring a generative forward model (as opposed t…

To clarify, I’m not sure the sort is a good strategy because NUTS may not love the discontinuities in the gradient (if it ever finds them after tuning). A scaled cumsum of Uniform/Dirichlet may be just fine. In general it’s hard to find a forward constraining transform that’s equivalent to paramete…

@ricardoV94 @jessegrabowski Thanks sooooo much for help

[image] Separation between data and parameters P.S. Hope it’s OK to jump on your forums. I’m starting to work with normalizing flows in JAX and need a way to generate JAX models for testing, so I’m checking out PyMC and Pyro. It’s a privilege to have you here – thanks for sharing your knowledg…

[image] Separation between data and parameters I’m starting to work with normalizing flows in JAX and need a way to generate JAX models for testing, so I’m checking out PyMC and Pyro. Feel free to open a thread to ask any dev questions

How to generate an increasing sequence?

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ricardoV94 July 23, 2024, 9:08pm 12

Feel free to open a thread to ask any dev questions

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How to generate an increasing sequence?

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