NormalDistribution class

Normal distribution (also known as Gaussian distribution).

Example

import 'package:calc/calc.dart';

void main() {
  final distribution = NormalDistribution(mean: 2.0, variance:1.0);

  // Print 100 samples
  final samples = distribution.sampleList(100);
  print(samples);
}
Inheritance

Constructors

NormalDistribution({required double mean, required double variance})
Constructs a normal distribution with the given mean and variance.
NormalDistribution.fit(Iterable<num> iterable)
Fits normal distribution to the scalars.
factory

Properties

hashCode → int
The hash code for this object.
no setteroverride
mean → double
Mean of the distribution.
final
runtimeType → Type
A representation of the runtime type of the object.
no setterinherited
standardDeviation → double
Standard deviation.
no setter
variance → double
Variance of the distribution.
final

Methods

cdf(double x) → double
Cumulative Distribution Function (CDF).
override
map<R>(R f(double value)) → Distribution<R>
Maps samples of the distribution with the given function.
inherited
noSuchMethod(Invocation invocation) → dynamic
Invoked when a nonexistent method or property is accessed.
inherited
pdf(double x) → double
Probability Density Function (PDF).
override
probabilityForRange(double min, double max) → double
Calculates probability that the value is in the range.
inherited
sample({Random? random}) → double
Generates a random sample.
override
sampleList(int length, {Random? random}) → List<double>
Generates a list of N random samples.
inherited
slice({double min = double.negativeInfinity, double max = double.infinity, int? attempts}) → ContinuousDistribution
Returns a slice of the distribution.
inherited
toString() → String
A string representation of this object.
override

Operators

operator ==(Object other) → bool
The equality operator.
override

Static Methods

fitTensors(Iterable<Tensor<double>> iterable) → TensorDistribution
Constructs a distribution for the tensors.