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Hello, I'm learning a normal distribution and multi variate normal distribution with tfd.Normal and tfd.MultivariateNormalDiag.
I write a code here. https://colab.research.google.com/gist/MokkeMegu…
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#### Description
`RidgeClassifierCV` is not working when `scoring` param is fed and `cv!=None`.
It is similar to the issue mentioned [here](https://github.com/scikit-learn/scikit-learn/i…
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Hi tejaslodaya,
I want to run the VRAE for a single class, unlabelled and multivariate time series data-set.
**Does your implementation support also multivariate data-sets?**
I saw in one of…
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Presently, there is no way to construct a multi-variate polynomial ring based on a Singular ring with ring order with 'c' or 'C'. Singular ring order with 'c' or 'C' is useful if computation with mo…
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Machine learning and data science provide ways to find patterns that depend on a lot of variables that have lots of nonlinear interactions with each other (to paraphrase a quote from a panel at the AP…
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I'm trying to train a semi-supervised HMM with multi-variate states and I'm running into an issue when using the HiddenMarkovModel.from_samples function. The issue is that when I use the from_samples …
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hi, I'm looking for a simple example to polynomial fit data (uni-variate or multi-variate) and I want to print out the parameters to implement the prediction in embedded system. Thanks.
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If a hidden variable H is True, then observable variable A1 has 30% chance to be True, and observable variable A2 has 60% chance to be True. I am not sure if A1 and A2 are independent and I do not kno…
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## feature request description
The NLP community is shifting from LSTMs to [Transformers](https://arxiv.org/abs/1706.03762) for a number of NLP tasks.
This would be great if we could have a packed…
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So i am trying to train Tacotron 2 on some custom dataset, i have a single speaker dataset, that is roughly around 11 hours.
I have trained other implementations of tacotron 1 before, and on this …