</p></td>
    </tr>
    <tr>
      <th>logPrior</th>
      <td><p>optional. Default uninformative improper prior.
Function which takes parameters (list of TensorFlow variables) as input.
The function should return a TensorFlow tensor which defines the log prior of the model.</p></td>
    </tr>
    <tr>
      <th>minibatchSize</th>
      <td><p>optional. Default 0.01.
Numeric or integer value that specifies amount of dataset to use at each iteration 
either as proportion of dataset size (if between 0 and 1) 