Source code for jax._src.scipy.stats.bernoulli

# Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
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#     https://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
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import scipy.stats as osp_stats

from jax import lax
from jax._src.numpy import lax_numpy as jnp
from jax._src.numpy.util import _wraps
from jax.scipy.special import xlogy, xlog1py


[docs]@_wraps(osp_stats.bernoulli.logpmf, update_doc=False) def logpmf(k, p, loc=0): k, p, loc = jnp._promote_args_inexact("bernoulli.logpmf", k, p, loc) zero = jnp._constant_like(k, 0) one = jnp._constant_like(k, 1) x = lax.sub(k, loc) log_probs = xlogy(x, p) + xlog1py(lax.sub(one, x), -p) return jnp.where(jnp.logical_or(lax.lt(x, zero), lax.gt(x, one)), -jnp.inf, log_probs)
[docs]@_wraps(osp_stats.bernoulli.pmf, update_doc=False) def pmf(k, p, loc=0): return jnp.exp(logpmf(k, p, loc))