We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
There was an error while loading. Please reload this page.
1 parent e79c852 commit 7a3cf27Copy full SHA for 7a3cf27
pymc3/distributions/discrete.py
@@ -91,19 +91,6 @@ def logp(self, value):
91
"""
92
Calculate log-probability of Binomial distribution at specified value.
93
94
- Parameters
95
- ----------
96
- value : numeric
97
- Value(s) for which log-probability is calculated. If the log probabilities for multiple
98
- values are desired the values must be provided in a numpy array or theano tensor
99
-
100
- Returns
101
- -------
102
- TensorVariable
103
- """
104
105
- Calculate log-probability of Binomial distribution at specified value.
106
107
Parameters
108
----------
109
value : numeric
0 commit comments