fix typos

Author: ferrine

pymc3/variational/approximations.py

@@ -26,7 +26,7 @@ class MeanField(Approximation):
     Parameters
     ----------
     local_rv : dict[var->tuple]
-        mapping {model_variable -> local_variable (:math:`\\mu`, math:`\\rho`)}
+        mapping {model_variable -> local_variable (:math:`\\mu`, :math:`\\rho`)}
         Local Vars are used for Autoencoding Variational Bayes
         See (AEVB; Kingma and Welling, 2014) for details
 
@@ -101,7 +101,7 @@ class FullRank(Approximation):
     Parameters
     ----------
     local_rv : dict[var->tuple]
-        mapping {model_variable -> local_variable (:math:`\\mu`, math:`\\rho`)}
+        mapping {model_variable -> local_variable (:math:`\\mu`, :math:`\\rho`)}
         Local Vars are used for Autoencoding Variational Bayes
         See (AEVB; Kingma and Welling, 2014) for details
 
@@ -241,8 +241,8 @@ class Empirical(Approximation):
     ----------
     trace : MultiTrace
     local_rv : dict[var->tuple]
-        Experimental for Empirical Distribution
-        mapping {model_variable -> local_variable (:math:`\\mu`, math:`\\rho`)}
+        Experimental for Empirical Approximation
+        mapping {model_variable -> local_variable (:math:`\\mu`, :math:`\\rho`)}
         Local Vars are used for Autoencoding Variational Bayes
         See (AEVB; Kingma and Welling, 2014) for details
 

pymc3/variational/inference.py

@@ -292,7 +292,7 @@ class ADVI(Inference):
     Parameters
     ----------
     local_rv : dict[var->tuple]
-        mapping {model_variable -> local_variable (:math:`\\mu`, math:`\\rho`)}
+        mapping {model_variable -> local_variable (:math:`\\mu`, :math:`\\rho`)}
         Local Vars are used for Autoencoding Variational Bayes
         See (AEVB; Kingma and Welling, 2014) for details
 
@@ -356,7 +356,7 @@ class FullRankADVI(Inference):
     Parameters
     ----------
     local_rv : dict[var->tuple]
-        mapping {model_variable -> local_variable (:math:`\\mu`, math:`\\rho`)}
+        mapping {model_variable -> local_variable (:math:`\\mu`, :math:`\\rho`)}
         Local Vars are used for Autoencoding Variational Bayes
         See (AEVB; Kingma and Welling, 2014) for details
 
@@ -523,8 +523,8 @@ def fit(n=10000, local_rv=None, method='advi', model=None, seed=None, **kwargs):
     ----------
     n : int
         number of iterations
-    local_rv : dict
-        mapping {model_variable -> local_variable}
+    local_rv : dict[var->tuple]
+        mapping {model_variable -> local_variable (:math:`\\mu`, :math:`\\rho`)}
         Local Vars are used for Autoencoding Variational Bayes
         See (AEVB; Kingma and Welling, 2014) for details
     method : str or Inference