RandomForestClassifier class

An implementation of sklearn.ensemble.RandomForestClassifier

https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html

Inheritance

• Object
• Classifier
• RandomForestClassifier

Constructors

RandomForestClassifier(List<int> classes, List dtrees)

To manually instantiate the RandomForestClassifier. The parameters are lifted directly from scikit-learn. See the attributes here: https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html

RandomForestClassifier.fromMap(Map<String, dynamic> params)

Override from Classifier.

factory

Properties

classes ↔ List<int>

getter/setter pair

dtrees ↔ List

getter/setter pair

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

fromURL(String url) → dynamic

Override in all classes extending Classifier. Load a model from a URL using an HTTP request @TODO

inherited

initDtrees(List trees) → void

Initializes the decision trees within the forest. Each of those instantiates a DecisionTreeClassifier.

noSuchMethod(Invocation invocation) → dynamic

Invoked when a nonexistent method or property is accessed.

inherited

predict(List<double> X) → int

Implementation of sklearn.ensemble.RandomForestClassifier.predict.

override

toString() → String

A string representation of this object.

inherited

Operators

operator ==(Object other) → bool

The equality operator.

inherited