MLPClassifier class

An implementation of sklearn.neural_network.MLPClassifier

Inheritance

MLPClassifier(List<int> layers, List<List> coefs, List<List> intercepts, List<int> classes, String activation, String outActivation): To manually instantiate the MLPClassifier. The parameters are lifted directly from scikit-learn. See the attributes here: https://scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPClassifier.html
MLPClassifier.fromMap(Map params): factory

activation ↔ String: getter/setter pair
classes ↔ List<int>: getter/setter pair
coefs ↔ List<List>: getter/setter pair
hashCode → int: The hash code for this object.
no setterinherited
intercepts ↔ List<List>: getter/setter pair
layers ↔ List<int>: getter/setter pair
outActivation ↔ String: getter/setter pair
runtimeType → Type: A representation of the runtime type of the object.
no setterinherited

fromURL(String url) → dynamic: Override in all classes extending Classifier. Load a model from a URL using an HTTP request @TODO
inherited
identity(List<double> val) → List<double>: No-op activation function
logistic(List<double> val) → List<double>: Logistic activation function:
noSuchMethod(Invocation invocation) → dynamic: Invoked when a nonexistent method or property is accessed.
inherited
predict(List<double> X) → int: Implementation of sklearn.neural_network.MLPClassifier.predict.
override
relu(List<double> val) → List<double>: Rectified Linear unit activation function:
softmax(List<double> val) → List<double>: Softmax activation function:
tanh(List<double> val) → List<double>: Hyperbolic tangent activation function:
toString() → String: A string representation of this object.
inherited