本文整理匯總了Python中tensorflow.python.ops.math_ops.betainc方法的典型用法代碼示例。如果您正苦於以下問題：Python math_ops.betainc方法的具體用法？Python math_ops.betainc怎麽用？Python math_ops.betainc使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類tensorflow.python.ops.math_ops的用法示例。
在下文中一共展示了math_ops.betainc方法的6個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: _bdtr
# 需要導入模塊: from tensorflow.python.ops import math_ops [as 別名]
# 或者: from tensorflow.python.ops.math_ops import betainc [as 別名]
def _bdtr(k, n, p):
"""The binomial cumulative distribution function.
Args:
k: floating point `Tensor`.
n: floating point `Tensor`.
p: floating point `Tensor`.
Returns:
`sum_{j=0}^k p^j (1 - p)^(n - j)`.
"""
# Trick for getting safe backprop/gradients into n, k when
# betainc(a = 0, ..) = nan
# Write:
# where(unsafe, safe_output, betainc(where(unsafe, safe_input, input)))
ones = array_ops.ones_like(n - k)
k_eq_n = math_ops.equal(k, n)
safe_dn = array_ops.where(k_eq_n, ones, n - k)
dk = math_ops.betainc(a=safe_dn, b=k + 1, x=1 - p)
return array_ops.where(k_eq_n, ones, dk) 示例2: _cdf
# 需要導入模塊: from tensorflow.python.ops import math_ops [as 別名]
# 或者: from tensorflow.python.ops.math_ops import betainc [as 別名]
def _cdf(self, x):
return math_ops.betainc(self.concentration1, self.concentration0, x) 示例3: _cdf
# 需要導入模塊: from tensorflow.python.ops import math_ops [as 別名]
# 或者: from tensorflow.python.ops.math_ops import betainc [as 別名]
def _cdf(self, x):
# Take Abs(scale) to make subsequent where work correctly.
y = (x - self.loc) / math_ops.abs(self.scale)
x_t = self.df / (y**2. + self.df)
neg_cdf = 0.5 * math_ops.betainc(0.5 * self.df, 0.5, x_t)
return array_ops.where(math_ops.less(y, 0.), neg_cdf, 1. - neg_cdf) 示例4: _cdf
# 需要導入模塊: from tensorflow.python.ops import math_ops [as 別名]
# 或者: from tensorflow.python.ops.math_ops import betainc [as 別名]
def _cdf(self, positive_counts):
if self.validate_args:
positive_counts = math_ops.floor(
distribution_util.embed_check_nonnegative_discrete(
positive_counts, check_integer=False))
return math_ops.betainc(
self.total_count, positive_counts + 1.,
math_ops.sigmoid(-self.logits)) 示例5: _cdf
# 需要導入模塊: from tensorflow.python.ops import math_ops [as 別名]
# 或者: from tensorflow.python.ops.math_ops import betainc [as 別名]
def _cdf(self, x):
return math_ops.betainc(self.a, self.b, x) 示例6: _cdf
# 需要導入模塊: from tensorflow.python.ops import math_ops [as 別名]
# 或者: from tensorflow.python.ops.math_ops import betainc [as 別名]
def _cdf(self, x):
# Take Abs(sigma) to make subsequent where work correctly.
y = (x - self.mu) / math_ops.abs(self.sigma)
x_t = self.df / (y**2. + self.df)
neg_cdf = 0.5 * math_ops.betainc(0.5 * self.df, 0.5, x_t)
return array_ops.where(math_ops.less(y, 0.), neg_cdf, 1. - neg_cdf)