filter_y_outlier — Y Outlier Filter¶
Group: Sample / feature filters · Binding: n4m.sklearn.YOutlierFilter · C ABI: n4m_filter_y_outlier_*
Description¶
Univariate outlier filter on the target vector y.
Full binding docstring
Univariate outlier filter on the target vector ``y``.
``method`` is one of ``"iqr"``, ``"zscore"``, ``"percentile"``, ``"mad"``.
Threshold semantics follow nirs4all's :class:`YOutlierFilter`:
* For ``"iqr"`` / ``"zscore"`` / ``"mad"``: ``threshold`` is the
multiplier on the IQR / σ / MAD bounds.
* For ``"percentile"``: ``lower_percentile`` and ``upper_percentile``
define the keep band.
Parameters¶
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Explanations¶
Bibliographic source¶
Standard spectroscopic operator — see the nirs4all preprocessing / augmentation handbook and the cited literature within the binding docstring.
Mathematical principle¶
Univariate outlier filter on the target vector y.
Implementation¶
C ABI n4m_filter_y_outlier_* in libn4m (create / apply / destroy lifecycle), wrapped by n4m.sklearn.YOutlierFilter. The same numerical kernel backs every language binding.
Usage¶
from n4m.sklearn import YOutlierFilter
op = YOutlierFilter()
X_transformed = op.fit_transform(X)
See also: methods index · interactive dashboard