Encoder class abstract

Categorical data encoder factory.

Algorithms that process data to create prediction models can't handle categorical data, since they are based on mathematical equations and work only with bare numbers. That means that the categorical data should be converted to numbers.

The factory exposes different ways to convert categorical data into numbers.

Constructors

Encoder.label(DataFrame fittingData, {Iterable<int>? columnIndices, Iterable<String>? columnNames, UnknownValueHandlingType unknownValueHandlingType = defaultUnknownValueHandlingType})

Gets columns by columnIndices or columnNames (columnIndices has a precedence over columnNames) from fittingData, collects all unique values from the columns and builds a map raw value => encoded value. Once one calls the process method, the mapping will be applied.

factory

Encoder.oneHot(DataFrame fittingData, {Iterable<int>? columnIndices, Iterable<String>? columnNames, UnknownValueHandlingType unknownValueHandlingType = defaultUnknownValueHandlingType})

Gets columns by columnIndices or columnNames (columnIndices has a precedence over columnNames) from fittingData, collects all unique values from the columns and builds a map raw value => encoded value. Once one calls the process method, the mapping will be applied.

factory

Properties

hashCode → int

The hash code for this object.

no setter, inherited

runtimeType → Type

A representation of the runtime type of the object.

no setter, inherited

Methods

noSuchMethod(Invocation invocation) → dynamic

Invoked when a nonexistent method or property is accessed.

inherited

process(DataFrame input) → DataFrame

inherited

toString() → String

A string representation of this object.

inherited

Operators

operator ==(Object other) → bool

The equality operator.

inherited