Mojo function

`MinMaxScaler`

fn MinMaxScaler(data: Matrix, feature_range: Tuple[Float32, Float32] = Tuple(Float32("0"), Float32("1"))) -> Tuple[Matrix, Matrix, Matrix]

Transform features by scaling each feature to a given range.

Args:

data (Matrix): Data.
feature_range (Tuple[Float32, Float32]): Desired range of transformed data.

Returns:

Tuple[Matrix, Matrix, Matrix]: Scaled data, data_min, data_max.

Raises:

fn MinMaxScaler(data: Matrix, x_min: Matrix, x_max: Matrix, feature_range: Tuple[Float32, Float32] = Tuple(Float32("0"), Float32("1"))) -> Matrix

Transform features by scaling each feature to a given range, data_min and data_max.

Args:

data (Matrix): Data.
x_min (Matrix): Per feature minimum seen in the data.
x_max (Matrix): Per feature maximum seen in the data.
feature_range (Tuple[Float32, Float32]): Desired range of transformed data.

Returns:

Matrix: Scaled data.

Raises:

MinMaxScaler