Enum ANN_MLP_TrainFlags

#[repr(C)]
pub enum ANN_MLP_TrainFlags {
    UPDATE_WEIGHTS = 1,
    NO_INPUT_SCALE = 2,
    NO_OUTPUT_SCALE = 4,
}

Train options

Variants

UPDATE_WEIGHTS = 1

Update the network weights, rather than compute them from scratch. In the latter case the weights are initialized using the Nguyen-Widrow algorithm.

NO_INPUT_SCALE = 2

Do not normalize the input vectors. If this flag is not set, the training algorithm normalizes each input feature independently, shifting its mean value to 0 and making the standard deviation equal to 1. If the network is assumed to be updated frequently, the new training data could be much different from original one. In this case, you should take care of proper normalization.

NO_OUTPUT_SCALE = 4

Do not normalize the output vectors. If the flag is not set, the training algorithm normalizes each output feature independently, by transforming it to the certain range depending on the used activation function.

Trait Implementations

impl Clone for ANN_MLP_TrainFlags

fn clone(&self) -> ANN_MLP_TrainFlags

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for ANN_MLP_TrainFlags

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl From<ANN_MLP_TrainFlags> for i32

fn from(v: ANN_MLP_TrainFlags) -> Self

Converts to this type from the input type.

impl PartialEq for ANN_MLP_TrainFlags

fn eq(&self, other: &ANN_MLP_TrainFlags) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl TryFrom<i32> for ANN_MLP_TrainFlags

type Error = Error

The type returned in the event of a conversion error.

fn try_from(value: i32) -> Result<Self, Self::Error>

Performs the conversion.

impl Copy for ANN_MLP_TrainFlags

impl Eq for ANN_MLP_TrainFlags

impl StructuralPartialEq for ANN_MLP_TrainFlags