(Issue #114) Fix typos.

src/Taweret/core/base_mixer.py

@@ -202,7 +202,7 @@ def prior(self):
     @abstractmethod
     def set_prior(self):
         '''
-        User must provide function that sets a member varibale called
+        User must provide function that sets a member variable called
         ``_prior``.
         Dictionary of prior distributions. Format should be compatible with
         sampler.
@@ -230,8 +230,8 @@ def train(self):
         '''
         Run sampler to learn parameters. Method should also create class
         members that store the posterior and other diagnostic quantities
-        import for plotting
-        MAP values should also caluclate and set as member variable of
+        important for plotting
+        MAP values should also calculate and set as member variable of
         class
 
         Return:

src/Taweret/core/base_model.py

@@ -34,8 +34,7 @@ def evaluate(self, model_parameters):
     @abstractmethod
     def log_likelihood_elementwise(self):
         r'''
-        Calculate log_likelihood for array of points given, and return with
-        array with same shape[0]
+        Calculate log_likelihood for array of points given
 
         Returns:
         --------
@@ -61,7 +60,7 @@ def log_likelihood_elementwise(
     @abstractmethod
     def set_prior(self):
         '''
-        User must provide function that sets a member varibale called _prior.
+        User must provide function that sets a member variable called _prior.
         Dictionary of prior distributions. Format should be compatible with
         sampler.
 

src/Taweret/mix/trees.py

@@ -256,7 +256,7 @@ def set_prior(
         :param float base:
             The base parameter in the tree prior.
         :param float overallsd:
-            An initial estimate of the erorr standard deviation.
+            An initial estimate of the error standard deviation.
             This value is used to calibrate the scale parameter in
             variance prior.
         :param float overallnu: