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3 changes: 1 addition & 2 deletions pymc/distributions/discrete.py
Original file line number Diff line number Diff line change
Expand Up @@ -1268,8 +1268,7 @@ class Categorical(Discrete):
Parameters
----------
p : array of floats
p > 0 and the elements of p must sum to 1. They will be automatically
rescaled otherwise.
p > 0 and the elements of p must sum to 1.
logit_p : float
Alternative log odds for the probability of success.
"""
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2 changes: 1 addition & 1 deletion pymc/distributions/multivariate.py
Original file line number Diff line number Diff line change
Expand Up @@ -516,7 +516,7 @@ class Multinomial(Discrete):
p : tensor_like of float
Probability of each one of the different outcomes (0 <= p <= 1). The number of
categories is given by the length of the last axis. Elements are expected to sum
to 1 along the last axis, and they will be automatically rescaled otherwise.
to 1 along the last axis.
"""
rv_op = multinomial

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