StandardScaler class

StandardScaler standardizes features by removing the mean and scaling to unit variance. Commonly used in machine learning preprocessing.

Constructors

StandardScaler.new()

Properties

hashCode → int
The hash code for this object.
no setterinherited
isFitted → bool
no setter
runtimeType → Type
A representation of the runtime type of the object.
no setterinherited

Methods

fit(List<List<double>> data) → void
Computes the mean and standard deviation per feature (column).
inverseTransform(List<List<double>> data) → List<List<double>>
Reverts standardized values back to original scale.
loadFromModel(ScalerModel model) → void
Loads scaler from a model.
noSuchMethod(Invocation invocation) → dynamic
Invoked when a nonexistent method or property is accessed.
inherited
toModel() → ScalerModel
Serializes the model to a ScalerModel object.
toString() → String
A string representation of this object.
inherited
transform(List<List<double>> data) → List<List<double>>
Standardizes the data (zero mean, unit variance).

Operators

operator ==(Object other) → bool
The equality operator.
inherited