Enum Increasing 

pub enum Increasing {
    True,
    False,
    Auto,
}

Monotonicity direction for the fitted function.

Mirrors scikit-learn’s increasing constructor parameter, whose _parameter_constraints allows ["boolean", StrOptions({"auto"})] with default True (sklearn/isotonic.py:271-274):

• Increasing::True — force a non-decreasing fit (increasing=True).
• Increasing::False — force a non-increasing fit (increasing=False).
• Increasing::Auto — resolve the direction from the data at fit time via a Spearman correlation test (increasing='auto', sklearn/isotonic.py:306-307: self.increasing_ = check_increasing(X, y)).

Variants

True

Force a non-decreasing (increasing) fit. The default, matching IsotonicRegression(increasing=True) (sklearn/isotonic.py:274).

False

Force a non-increasing (decreasing) fit.

Auto

Resolve the direction from the data via a Spearman correlation test (increasing='auto').

Trait Implementations

impl Clone for Increasing

fn clone(&self) -> Increasing

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Copy for Increasing

impl Debug for Increasing

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

Formats the value using the given formatter.

impl Default for Increasing

fn default() -> Increasing

Returns the “default value” for a type.

impl Eq for Increasing

impl From<bool> for Increasing

fn from(b: bool) -> Self

true → Increasing::True, false → Increasing::False.

This preserves the prior with_increasing(bool) API semantics.

impl PartialEq for Increasing

fn eq(&self, other: &Increasing) -> 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 StructuralPartialEq for Increasing