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

A simple probabilistic classifier based on applying Bayes’ theorem with naive independence assumptions between the features. It makes classifications using the maximum posteriori decision rule in a Bayesian setting.

# Link to this section Summary

## Functions

Returns the function that classifies an item by using the Naive Bayes Algorithm

# Link to this section Functions

Link to this function classifier(dataset, discrete_attributes, class) View Source

Returns the function that classifies an item by using the Naive Bayes Algorithm.

## Examples

``````iex> f = Emel.Ml.NaiveBayes.classifier([
...>         %{outlook: "Sunny", temperature: "Hot", humidity: "High", wind: "Weak", decision: "No"},
...>         %{outlook: "Sunny", temperature: "Hot", humidity: "High", wind: "Strong", decision: "No"},
...>         %{outlook: "Overcast", temperature: "Hot", humidity: "High", wind: "Weak", decision: "Yes"},
...>         %{outlook: "Rain", temperature: "Mild", humidity: "High", wind: "Weak", decision: "Yes"},
...>         %{outlook: "Rain", temperature: "Cool", humidity: "Normal", wind: "Weak", decision: "Yes"},
...>         %{outlook: "Rain", temperature: "Cool", humidity: "Normal", wind: "Strong", decision: "No"},
...>         %{outlook: "Overcast", temperature: "Cool", humidity: "Normal", wind: "Strong", decision: "Yes"},
...>         %{outlook: "Sunny", temperature: "Mild", humidity: "High", wind: "Weak", decision: "No"},
...>         %{outlook: "Sunny", temperature: "Cool", humidity: "Normal", wind: "Weak", decision: "Yes"},
...>         %{outlook: "Rain", temperature: "Mild", humidity: "Normal", wind: "Weak", decision: "Yes"},
...>         %{outlook: "Sunny", temperature: "Mild", humidity: "Normal", wind: "Strong", decision: "Yes"},
...>         %{outlook: "Overcast", temperature: "Mild", humidity: "High", wind: "Strong", decision: "Yes"},
...>         %{outlook: "Overcast", temperature: "Hot", humidity: "Normal", wind: "Weak", decision: "Yes"},
...>         %{outlook: "Rain", temperature: "Mild", humidity: "High", wind: "Strong", decision: "No"}
...>    ], [:outlook, :temperature, :humidity, :wind], :decision)
...> f.(%{outlook: "Sunny", temperature: "Mild", humidity: "Normal", wind: "Strong"})
"Yes"``````