Trait Estimator 

pub trait Estimator<Data> {
    type Model: Model<Data>;
    type ModelIter: IntoIterator<Item = Self::Model>;

    const MIN_SAMPLES: usize;

    // Required method
    fn estimate<I>(&self, data: I) -> Self::ModelIter
       where I: Iterator<Item = Data> + Clone;
}

An Estimator is able to create a model that best fits a set of data. It is also able to determine the residual error each data point contributes in relation to the model.

Required Associated Constants

const MIN_SAMPLES: usize

The minimum number of samples that the estimator can estimate a model from.

Required Associated Types

type Model: Model<Data>

Model is the model which is estimated from the underlying data

type ModelIter: IntoIterator<Item = Self::Model>

Iterator over the models produced from the data.

Required Methods

fn estimate<I>(&self, data: I) -> Self::ModelIter

where I: Iterator<Item = Data> + Clone,

Takes in an iterator over the data and produces a model that best fits the data.

This must be passed at least Self::MIN_SAMPLES data points, otherwise estimate should panic to indicate a developer error.

None should be returned only if a model is impossible to estimate based on the data. For instance, if a particle has greater than infinite mass, a point is detected behind a camera, an equation has an imaginary answer, or non-causal events happen, then a model may not be produced.

Dyn Compatibility

This trait is not dyn compatible.

In older versions of Rust, dyn compatibility was called "object safety".

Implementors