# emel v0.3.0 Emel.Ml.Perceptron View Source

A binary classification algorithm that makes its predictions based on a linear predictor function combining a set of weights with the feature vector.

# Link to this section Summary

## Functions

Returns the function that classifies an item by using the Perceptron Algorithm

# Link to this section Functions

Link to this function classifier(dataset, continuous_attributes, boolean_class, learning_rate \\ 0.0001, err_thres \\ 0.1, max_iter \\ 10000) View Source

Returns the function that classifies an item by using the Perceptron Algorithm.

## Examples

``````iex> f = Emel.Ml.Perceptron.classifier([%{a: 0, b: 0, or: false},
...>                                    %{a: 0, b: 1, or: true},
...>                                    %{a: 1, b: 0, or: true},
...>                                    %{a: 1, b: 1, or: true},
...>                                   ], [:a, :b], :or)
...> f.(%{a: 1, b: 0})
true

iex> f = Emel.Ml.Perceptron.classifier([%{x: 0.0, y: 0.1, x_less_than_y: true},
...>                                    %{x: 0.3, y: 0.2, x_less_than_y: false},
...>                                    %{x: 0.2, y: 0.3, x_less_than_y: true},
...>                                    %{x: 0.3, y: 0.4, x_less_than_y: true},
...>                                    %{x: 0.4, y: 0.3, x_less_than_y: false},
...>                                    %{x: 0.5, y: 0.5, x_less_than_y: false},
...>                                    %{x: 0.5, y: 0.6, x_less_than_y: true},
...>                                    %{x: 0.1, y: 0.2, x_less_than_y: true},
...>                                    %{x: 0.0, y: 0.0, x_less_than_y: false},
...>                                    %{x: 0.1, y: 0.0, x_less_than_y: false},
...>                                    %{x: 0.2, y: 0.1, x_less_than_y: false},
...>                                    %{x: 0.6, y: 0.7, x_less_than_y: true},
...>                                   ], [:x, :y], :x_less_than_y, 0.5, 0.001, 100)
...> f.(%{x: 0.55, y: 0.35})
false``````