Mojo struct

GaussianNB

@memory_only
struct GaussianNB

Gaussian Naive Bayes (GaussianNB).

Aliases

• __del__is_trivial = False

Fields

• var_smoothing (Float32): Portion of the largest variance of all features that is added to variances for calculation stability.

Implemented traits

AnyType, ImplicitlyDestructible

Methods

__init__

fn __init__(out self, var_smoothing: Float32 = 1.0E-8)

Args:

• var_smoothing (Float32)
• self (Self)

Returns:

Self

fit

fn fit(mut self, X: Matrix, y: Matrix)

Fit Gaussian Naive Bayes.

Args:

• self (Self)
• X (Matrix)
• y (Matrix)

Raises:

predict

fn predict(self, X: Matrix) -> Matrix

Predict class for X.

Args:

• self (Self)
• X (Matrix)

Returns:

Matrix: The predicted classes.

Raises: