LostTech.TensorFlow : API Documentation

Type Chi2

Namespace tensorflow.contrib.distributions

Parent Gamma

Interfaces IChi2

Chi2 distribution.

The Chi2 distribution is defined over positive real numbers using a degrees of freedom ("df") parameter.

#### Mathematical Details

The probability density function (pdf) is,

```none pdf(x; df, x > 0) = x**(0.5 df - 1) exp(-0.5 x) / Z Z = 2**(0.5 df) Gamma(0.5 df) ```

where:

* `df` denotes the degrees of freedom, * `Z` is the normalization constant, and, * `Gamma` is the [gamma function]( https://en.wikipedia.org/wiki/Gamma_function).

The Chi2 distribution is a special case of the Gamma distribution, i.e.,
Show Example 
Chi2(df) = Gamma(concentration=0.5 * df, rate=0.5)

Properties

Public properties

object allow_nan_stats get;

object allow_nan_stats_dyn get;

TensorShape batch_shape get;

object batch_shape_dyn get;

object concentration get;

object concentration_dyn get;

object df get;

object df_dyn get;

object dtype get;

object dtype_dyn get;

TensorShape event_shape get;

object event_shape_dyn get;

string name get;

object name_dyn get;

IDictionary<object, object> parameters get;

object parameters_dyn get;

object PythonObject get;

object rate get;

object rate_dyn get;

object reparameterization_type get;

object reparameterization_type_dyn get;

object validate_args get;

object validate_args_dyn get;