rasoolianbehnam

Chp_14 potentially incorrect covariance functions

2

I could be wrong but I believe in Chp_14.ipynb cell 72, the covariance function `SIGMA = etasq * pm.gp.cov.Exponential(input_dim=1, ls=rhosq)` is not correct since it only takes the first column...

Just FYI. I have written the following model for the ODE part in chapter 16 (Hare/Lynx). It's working but very slow. ```python def Ind(d, reinterpreted_batch_ndims=1, **kwargs): return tfd.Independent(d, reinterpreted_batch_ndims=reinterpreted_batch_ndims, **kwargs)...

There seems to be a bug in the model specification. in ```python tfd.MultivariateNormalDiag( loc=tf.zeros(num_students), scale_diag=self._stddev_students * tf.ones(num_students)), tfd.MultivariateNormalDiag( loc=tf.zeros(num_instructors), scale_diag=self._stddev_instructors * tf.ones(num_instructors)), tfd.MultivariateNormalDiag( loc=tf.zeros(num_departments), scale_diag=self._stddev_departments * tf.ones(num_departments)), ``` it seems...