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This tracks @eb8680's old idea of making Gaussian more amenable to symbolic computation. One advantage of this approach is that a forward-backward algorithm could be performed symbolically, such that each SVI step would require only a substitution, rather than a complete optimization pass.
This tracks @eb8680's old idea of making Gaussian more amenable to symbolic computation. One advantage of this approach is that a forward-backward algorithm could be performed symbolically, such that each SVI step would require only a substitution, rather than a complete optimization pass.
Tasks
literally_eager
interpretation that does not normalize. Use it insideGaussian.eager_()
methods.GaussianHMM
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