s/logprob/logdensity

The library currently uses `logprob` to designate the target model's
joint log-density. We adopt the mathematical terminology instead and
replace `logprob` with `logdensity`.

README.md

@@ -63,14 +63,14 @@ import numpy as np
 import blackjax
 
 observed = np.random.normal(10, 20, size=1_000)
-def logprob_fn(x):
+def logdensity_fn(x):
   logpdf = stats.norm.logpdf(observed, x["loc"], x["scale"])
   return jnp.sum(logpdf)
 
 # Build the kernel
 step_size = 1e-3
 inverse_mass_matrix = jnp.array([1., 1.])
-nuts = blackjax.nuts(logprob_fn, step_size, inverse_mass_matrix)
+nuts = blackjax.nuts(logdensity_fn, step_size, inverse_mass_matrix)
 
 # Initialize the state
 initial_position = {"loc": 1., "scale": 2.}