@@ -482,7 +482,7 @@ class Group(object):
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String that marks the corresponding variational family for the group.
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Cannot be passed both with `params`
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params : dict
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- Dict with variation family parameters, full description can be found below.
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+ Dict with variational family parameters, full description can be found below.
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Cannot be passed both with `vfam`
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random_seed : int
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Random seed for underlying random generator
@@ -606,7 +606,7 @@ class Group(object):
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latent3_{i, \dots} \sim \mathcal{N}(\mu_i, \Sigma_i) \foreach i
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- **Note**: Using batched and parametrized approximation is ok, but
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+ **Note**: Using rowwise and user- parametrized approximation is ok, but
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shape should be checked beforehand, it is impossible to infer it by PyMC3
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Normalizing Flow Group
@@ -618,7 +618,7 @@ class Group(object):
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**Note**: Consider passing location flow as the last one and scale as the first one for stable inference.
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- Batched normalizing flow is supported as well
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+ Rowwise normalizing flow is supported as well
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>>> group = Group([latent3], vfam='scale-hh*2-radial-loc', rowwise=True)
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@@ -643,8 +643,8 @@ class Group(object):
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^^^^^^^^^^^^^^^^^^^^^^
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When you have a lot of latent variables it is impractical to do it all manually.
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To make life much simpler, You can pass `None` instead of list of variables. That case
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- you'll not create shared parameters untill you pass all collected groups to
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- Approximation object that collects all the croups together and checks that every group is
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+ you'll not create shared parameters until you pass all collected groups to
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+ Approximation object that collects all the groups together and checks that every group is
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correctly initialized. For those groups which have group equal to `None` it will collect all
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the rest variables not covered by other groups and perform delayed init.
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