Searched defs:distribution (Results 1 - 25 of 113) sorted by relevance

12345

/external/apache-commons-math/src/main/java/org/apache/commons/math/distribution/
H A DAbstractDistribution.java17 package org.apache.commons.math.distribution;
45 * to this distribution, this method returns P(x0 ≤ X ≤ x1).
53 * @return the probability that a random variable with this distribution
H A DContinuousDistribution.java17 package org.apache.commons.math.distribution;
28 * 2.1, all continuous distribution implementations included in commons-math
36 * For this distribution, X, this method returns x such that P(X < x) = p.
H A DDiscreteDistribution.java17 package org.apache.commons.math.distribution;
28 * to this distribution, this method returns P(X = x). In other words, this
29 * method represents the probability mass function, or PMF for the distribution.
H A DDistribution.java17 package org.apache.commons.math.distribution;
29 * to this distribution, this method returns P(X ≤ x). In other words,
30 * this method represents the (cumulative) distribution function, or
31 * CDF, for this distribution.
33 * @param x the value at which the distribution function is evaluated.
35 * distribution takes a value less than or equal to <code>x</code>
43 * to this distribution, this method returns P(x0 &le; X &le; x1).
47 * @return the probability that a random variable with this distribution
H A DHasDensity.java18 package org.apache.commons.math.distribution;
23 * <p>Interface that signals that a distribution can compute the probability density function
H A DTDistribution.java17 package org.apache.commons.math.distribution;
H A DBetaDistribution.java17 package org.apache.commons.math.distribution;
H A DBinomialDistribution.java17 package org.apache.commons.math.distribution;
34 * Access the number of trials for this distribution.
40 * Access the probability of success for this distribution.
46 * Change the number of trials for this distribution.
54 * Change the probability of success for this distribution.
H A DCauchyDistribution.java18 package org.apache.commons.math.distribution;
38 * @return median for this distribution
44 * @return scale parameter for this distribution
50 * @param median for this distribution
58 * @param s scale parameter for this distribution
H A DChiSquaredDistribution.java17 package org.apache.commons.math.distribution;
H A DExponentialDistribution.java17 package org.apache.commons.math.distribution;
H A DFDistribution.java17 package org.apache.commons.math.distribution;
H A DGammaDistribution.java17 package org.apache.commons.math.distribution;
H A DHypergeometricDistribution.java18 package org.apache.commons.math.distribution;
H A DIntegerDistribution.java17 package org.apache.commons.math.distribution;
29 * to this distribution, this method returns P(X = x). In other words, this
30 * method represents the probability mass function for the distribution.
39 * to this distribution, this method returns P(X &le; x). In other words,
40 * this method represents the probability distribution function, or PDF
41 * for the distribution.
44 * @return PDF for this distribution.
51 * For this distribution, X, this method returns P(x0 &le; X &le; x1).
62 * For this distribution, X, this method returns the largest x such that
H A DNormalDistribution.java18 package org.apache.commons.math.distribution;
36 * @return mean for this distribution
41 * @param mean for this distribution
48 * @return standard deviation for this distribution
53 * @param sd standard deviation for this distribution
H A DPascalDistribution.java17 package org.apache.commons.math.distribution;
20 * The Pascal distribution. The Pascal distribution is a special case of the
21 * Negative Binomial distribution where the number of successes parameter is an
24 * There are various ways to express the probability mass and distribution
25 * functions for the Pascal distribution. The convention employed by the
43 * Access the number of successes for this distribution.
50 * Access the probability of success for this distribution.
57 * Change the number of successes for this distribution.
66 * Change the probability of success for this distribution
[all...]
H A DPoissonDistribution.java17 package org.apache.commons.math.distribution;
28 * Poisson distribution</a></li>
37 * Get the mean for the distribution.
39 * @return the mean for the distribution.
44 * Set the mean for the distribution.
56 * Calculates the Poisson distribution function using a normal approximation.
59 * @return the distribution function value calculated using a normal approximation
H A DWeibullDistribution.java18 package org.apache.commons.math.distribution;
22 * distribution as defined by
H A DZipfDistribution.java18 package org.apache.commons.math.distribution;
35 * Get the number of elements (e.g. corpus size) for the distribution.
42 * Set the number of elements (e.g. corpus size) for the distribution.
54 * Get the exponent characterising the distribution.
61 * Set the exponent characterising the distribution.
H A DSaddlePointExpansion.java17 package org.apache.commons.math.distribution;
169 * Compute the PMF for a binomial distribution using the saddle point
/external/caliper/examples/src/main/java/examples/
H A DArraySortBenchmark.java33 @Param private Distribution distribution; field in class:ArraySortBenchmark
39 values = distribution.create(length);
/external/tensorflow/tensorflow/compiler/xla/tests/
H A Dtest_utils.h46 std::uniform_real_distribution<> distribution; local
48 (max_ - min_) * distribution(generator_));
/external/tensorflow/tensorflow/contrib/distributions/python/ops/
H A Dconditional_distribution.py15 """Conditional distribution base class."""
21 from tensorflow.python.ops.distributions import distribution namespace
25 class ConditionalDistribution(distribution.Distribution):
28 Subclasses of this distribution may have additional keyword arguments passed
H A Destimator.py40 """Creates a `Head` for regression under a generic distribution.
134 d = self.distribution(logits)
150 d = self.distribution(logits)
168 def distribution(self, logits, name=None): member in class:_DistributionRegressionHead
169 """Retrieves a distribution instance, parameterized by `logits`.
173 underlying distribution.
175 Default value: "distribution".
178 distribution: `tf.Distribution` instance parameterized by `logits`.
180 with ops.name_scope(name, "distribution", [logits]):

Completed in 549 milliseconds

12345