Struct FittedBinarizer 

pub struct FittedBinarizer<F> { /* private fields */ }

A fitted Binarizer.

Binarizer is stateless — its fit (sklearn Binarizer.fit, _data.py:2257-2278, “Only validates estimator’s parameters”) learns NO statistics; it merely validates the input and records n_features_in_. The fitted type therefore carries only the configured threshold, the copy flag, and the recorded feature count. Its Transform::transform reuses the very same strict-greater logic as the stateless Binarizer/binarize path, so the two paths are bit-identical.

Implementations

impl<F: Float + Send + Sync + 'static> FittedBinarizer<F>

pub fn n_features_in(&self) -> usize

Return the number of features (columns) seen during Fit::fit.

Mirrors scikit-learn’s Binarizer.n_features_in_ (_data.py:2277).

pub fn threshold(&self) -> F

Return the configured threshold.

pub fn copy(&self) -> bool

Return the configured copy flag (no-op; see Binarizer::with_copy).

Trait Implementations

impl<F: Clone> Clone for FittedBinarizer<F>

fn clone(&self) -> FittedBinarizer<F>

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl<F: Debug> Debug for FittedBinarizer<F>

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

Formats the value using the given formatter.

impl<F: Float + Send + Sync + 'static> Transform<ArrayBase<OwnedRepr<F>, Dim<[usize; 2]>>> for FittedBinarizer<F>

fn transform(&self, x: &Array2<F>) -> Result<Array2<F>, FerroError>

Threshold each element of x, delegating to the SAME strict-greater logic as the stateless Binarizer / binarize path.

First applies the REQ-9 check_array guards (finite / min-samples / min-features) and binarizes, THEN validates that x has the same number of columns recorded during Fit::fit. This ORDER matches sklearn’s _validate_data(reset=False), which runs check_array BEFORE _check_n_features (base.py:633 then :654, #2207): a NaN / ±inf / zero-sample / zero-feature input raises its check_array error EVEN when the column count is also wrong. Only after that does the n_features comparison fire. The output is therefore byte-identical to Binarizer::transform / binarize(x, threshold).

Errors

Returns FerroError::ShapeMismatch if the column count differs from n_features_in_. Returns FerroError::InsufficientSamples for zero rows and FerroError::InvalidParameter for zero features or any non-finite value (REQ-9, via [validate_binarize_input]).

type Output = ArrayBase<OwnedRepr<F>, Dim<[usize; 2]>>

The transformed output type.

type Error = FerroError

The error type returned by transform.