S^{n-1}The von Mises-Fisher distribution is a directional distribution over vectors
on the unit hypersphere S^{n-1} embedded in n dimensions (R^n).
tfd_von_mises_fisher(
mean_direction,
concentration,
validate_args = FALSE,
allow_nan_stats = TRUE,
name = "VonMisesFisher"
)Floating-point Tensor with shape [B1, ... Bn, D].
A unit vector indicating the mode of the distribution, or the
unit-normalized direction of the mean. (This is not in general the
mean of the distribution; the mean is not generally in the support of
the distribution.) NOTE: D is currently restricted to <= 5.
Floating-point Tensor having batch shape [B1, ... Bn]
broadcastable with mean_direction. The level of concentration of
samples around the mean_direction. concentration=0 indicates a
uniform distribution over the unit hypersphere, and concentration=+inf
indicates a Deterministic distribution (delta function) at mean_direction.
Logical, default FALSE. When TRUE distribution parameters are checked for validity despite possibly degrading runtime performance. When FALSE invalid inputs may silently render incorrect outputs. Default value: FALSE.
Logical, default TRUE. When TRUE, statistics (e.g., mean, mode, variance) use the value NaN to indicate the result is undefined. When FALSE, an exception is raised if one or more of the statistic's batch members are undefined.
name prefixed to Ops created by this class.
a distribution instance.
Mathematical details The probability density function (pdf) is,
pdf(x; mu, kappa) = C(kappa) exp(kappa * mu^T x)
where,
C(kappa) = (2 pi)^{-n/2} kappa^{n/2-1} / I_{n/2-1}(kappa),
I_v(z) being the modified Bessel function of the first kind of order v
where:
mean_direction = mu; a unit vector in R^k,
concentration = kappa; scalar real >= 0, concentration of samples around
mean_direction, where 0 pertains to the uniform distribution on the
hypersphere, and inf indicates a delta function at mean_direction.
NOTE: Currently only n in 2, 3, 4, 5 are supported. For n=5 some numerical instability can occur for low concentrations (<.01).
For usage examples see e.g. tfd_sample(), tfd_log_prob(), tfd_mean().
Other distributions:
tfd_autoregressive(),
tfd_batch_reshape(),
tfd_bates(),
tfd_bernoulli(),
tfd_beta_binomial(),
tfd_beta(),
tfd_binomial(),
tfd_categorical(),
tfd_cauchy(),
tfd_chi2(),
tfd_chi(),
tfd_cholesky_lkj(),
tfd_continuous_bernoulli(),
tfd_deterministic(),
tfd_dirichlet_multinomial(),
tfd_dirichlet(),
tfd_empirical(),
tfd_exp_gamma(),
tfd_exp_inverse_gamma(),
tfd_exponential(),
tfd_gamma_gamma(),
tfd_gamma(),
tfd_gaussian_process_regression_model(),
tfd_gaussian_process(),
tfd_generalized_normal(),
tfd_geometric(),
tfd_gumbel(),
tfd_half_cauchy(),
tfd_half_normal(),
tfd_hidden_markov_model(),
tfd_horseshoe(),
tfd_independent(),
tfd_inverse_gamma(),
tfd_inverse_gaussian(),
tfd_johnson_s_u(),
tfd_joint_distribution_named_auto_batched(),
tfd_joint_distribution_named(),
tfd_joint_distribution_sequential_auto_batched(),
tfd_joint_distribution_sequential(),
tfd_kumaraswamy(),
tfd_laplace(),
tfd_linear_gaussian_state_space_model(),
tfd_lkj(),
tfd_log_logistic(),
tfd_log_normal(),
tfd_logistic(),
tfd_mixture_same_family(),
tfd_mixture(),
tfd_multinomial(),
tfd_multivariate_normal_diag_plus_low_rank(),
tfd_multivariate_normal_diag(),
tfd_multivariate_normal_full_covariance(),
tfd_multivariate_normal_linear_operator(),
tfd_multivariate_normal_tri_l(),
tfd_multivariate_student_t_linear_operator(),
tfd_negative_binomial(),
tfd_normal(),
tfd_one_hot_categorical(),
tfd_pareto(),
tfd_pixel_cnn(),
tfd_poisson_log_normal_quadrature_compound(),
tfd_poisson(),
tfd_power_spherical(),
tfd_probit_bernoulli(),
tfd_quantized(),
tfd_relaxed_bernoulli(),
tfd_relaxed_one_hot_categorical(),
tfd_sample_distribution(),
tfd_sinh_arcsinh(),
tfd_skellam(),
tfd_spherical_uniform(),
tfd_student_t_process(),
tfd_student_t(),
tfd_transformed_distribution(),
tfd_triangular(),
tfd_truncated_cauchy(),
tfd_truncated_normal(),
tfd_uniform(),
tfd_variational_gaussian_process(),
tfd_vector_diffeomixture(),
tfd_vector_exponential_diag(),
tfd_vector_exponential_linear_operator(),
tfd_vector_laplace_diag(),
tfd_vector_laplace_linear_operator(),
tfd_vector_sinh_arcsinh_diag(),
tfd_von_mises(),
tfd_weibull(),
tfd_wishart_linear_operator(),
tfd_wishart_tri_l(),
tfd_wishart(),
tfd_zipf()