Mojo struct

MultinomialNB

@memory_only
struct MultinomialNB

Naive Bayes classifier for multinomial models.

Aliases

• __del__is_trivial = False

Fields

• alpha (Float32): Additive smoothing parameter.

Implemented traits

AnyType, CV, ImplicitlyDestructible

Methods

__init__

fn __init__(out self, alpha: Float32 = 0)

Args:

• alpha (Float32)
• self (Self)

Returns:

Self

fn __init__(out self, params: Dict[String, String])

Args:

• params (Dict)
• self (Self)

Returns:

Self

Raises:

fit

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

Fit Naive Bayes classifier.

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: