java.lang.Object
riso.distributions.AbstractDistribution
riso.distributions.Gaussian
riso.distributions.GaussianDelta
- All Implemented Interfaces:
- ConditionalDistribution, Delta, Distribution, LocationScaleDensity, java.io.Serializable, Translatable
- public class GaussianDelta
- extends Gaussian
- implements Delta
An object of this class represents a continuous distribution
whose mass is concentrated at one point. An instance of this
class can be used anywhere that an instance of Gaussian
can be used.
| Fields inherited from class riso.distributions.Gaussian |
alpha, beta, det_Sigma, eta, L_Sigma, mu, mu_hat, ndims, rng, Sigma, Sigma_inverse |
|
Method Summary |
java.lang.String |
format_string(java.lang.String leading_ws)
Create a description of this distribution model as a string. |
double[] |
get_support()
Return the point on which the mass of this density is concentrated. |
double |
p(double[] x)
Computes the density at the point x. |
void |
pretty_input(riso.general.SmarterTokenizer st)
Read a description of this distribution model from an input stream. |
double[] |
random()
Return an instance of a random variable from this distribution. |
double |
update(double[][] x,
double[] responsibility,
int niter_max,
double stopping_criterion)
Place-holder for method to update the parameters of this distribution;
not implemented -- see exception description. |
| Methods inherited from class riso.distributions.Gaussian |
cdf, clone, densities_product_constant, densities_product, effective_support, expected_value, format_string_1d, g, g1, get_location, get_scale, get_Sigma, initial_mix, log_p, log_prior, ndimensions, set_location, set_scale, set_Sigma, sqrt_variance, translate |
GaussianDelta
public GaussianDelta()
GaussianDelta
public GaussianDelta(double[] support_point)
GaussianDelta
public GaussianDelta(double support_point)
get_support
public double[] get_support()
- Return the point on which the mass of this density is concentrated.
- Specified by:
get_support in interface Delta
p
public double p(double[] x)
throws java.lang.IllegalArgumentException
- Computes the density at the point
x.
This method is a little strange since this distribution is continuous, and strictly
speaking a meaningful density can't be defined in that case. Oh, well.
- Specified by:
p in interface Distribution- Overrides:
p in class Gaussian
random
public double[] random()
throws java.lang.Exception
- Return an instance of a random variable from this distribution.
This function always returns the point on which this distribution
is concentrated, since all the mass is there.
- Specified by:
random in interface Distribution- Overrides:
random in class Gaussian
update
public double update(double[][] x,
double[] responsibility,
int niter_max,
double stopping_criterion)
throws java.lang.Exception
- Place-holder for method to update the parameters of this distribution;
not implemented -- see exception description.
- Specified by:
update in interface Distribution- Overrides:
update in class Gaussian
pretty_input
public void pretty_input(riso.general.SmarterTokenizer st)
throws java.io.IOException
- Read a description of this distribution model from an input stream.
This is intended for input from a human-readable source; this is
different from object serialization.
- Overrides:
pretty_input in class Gaussian
format_string
public java.lang.String format_string(java.lang.String leading_ws)
throws java.io.IOException
- Create a description of this distribution model as a string.
- Specified by:
format_string in interface ConditionalDistribution- Overrides:
format_string in class Gaussian
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