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It would be nice if the documentation explicitly stated that properties are per unit mol when dealing with a single fluid (for the functions that are not already explicitly intensive such as density).…
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Hi there
Any idea why the following gives a root in the liquid phase? I'd like to use this for determining the phase (and density) for differing P and T, but seems that it's not able?
```python
…
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Hi Cecilia,
This looks like a great application! I have a few questions:
1) Does the Ksrates output provide the equation and/or lognorm fit parameters for the mixture-model fits? I'd like to be…
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I would like to first thank you all for the very useful library you have created, thank you very much!
To the question: I am using HDBScan to cluster data that I am generating from a simulation tha…
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http://www.dtic.upf.edu/~mblaauw/IS2017_NPSS/ This job Synthesized singing voice frame-by-frame with wavenet. Is it possible to build our model like that?
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[Neural Adaptive SMC, Gu etc.](https://arxiv.org/abs/1506.03338) is a nice framework that allows us to train proposals for non-linear state space models. We can use [forward KL in a nested variational…
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Would be a first non/sklearn thing
- requires ability to use "product" prior (Laplace x Normal)
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The `computeBayesianMetaAnalysis()` outputs a posterior distribution for the parameter of interest (i.e. effect size estimate). If we convert that to a likelihood profile we can use it for example to …
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Allow for previous run results and objects to be resubmitted to the function if they aren't completed yet.
Multiple phases:
1. Straight restart - nothing has changed between run attempts
2. Targe…
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I wonder how the mixture is done in MDN at test time (so when we want to dream).
http://blog.otoro.net/2015/11/24/mixture-density-networks-with-tensorflow/ : Here we have an example of a MDN with k…