Did you know ... Search Documentation:
Pack logtalk -- logtalk-3.100.1/docs/apis/_sources/knn_classifier_0.rst.txt

.. index:: single: knn_classifier .. _knn_classifier/0:

.. rst-class:: right

object

knn_classifier

k-Nearest Neighbors classifier with multiple distance metrics and weighting options. Learns from a dataset object implementing the dataset_protocol protocol and returns a classifier term that can be used for prediction and exported as predicate clauses.

| Availability: | logtalk_load(knn_classifier(loader))

| Author: Paulo Moura | Version: 2:0:0 | Date: 2026-05-11

| Compilation flags: | static, context_switching_calls

| Imports: | public :ref:`probabilistic_classifier_common <probabilistic_classifier_common/0>` | Uses: | :ref:`format <format/0>` | :ref:`list <list/0>` | :ref:`pairs <pairs/0>` | :ref:`type <type/0>`

| Remarks: | (none)

| Inherited public predicates: |  :ref:`classifier_protocol/0::check_classifier/1`  :ref:`options_protocol/0::check_option/1`  :ref:`options_protocol/0::check_options/1`  :ref:`classifier_protocol/0::classifier_options/2`  :ref:`options_protocol/0::default_option/1`  :ref:`options_protocol/0::default_options/1`  :ref:`classifier_protocol/0::diagnostic/2`  :ref:`classifier_protocol/0::diagnostics/2`  :ref:`classifier_protocol/0::export_to_clauses/4`  :ref:`classifier_protocol/0::export_to_file/4`  :ref:`classifier_protocol/0::learn/2`  :ref:`classifier_protocol/0::learn/3`  :ref:`options_protocol/0::option/2`  :ref:`options_protocol/0::option/3`  :ref:`classifier_protocol/0::predict/3`  :ref:`probabilistic_classifier_protocol/0::predict_probabilities/3`  :ref:`classifier_protocol/0::print_classifier/1`  :ref:`classifier_protocol/0::valid_classifier/1`  :ref:`options_protocol/0::valid_option/1`  :ref:`options_protocol/0::valid_options/1`  

.. contents:: :local: :backlinks: top

Public predicates

.. index:: predict/4 .. _knn_classifier/0::predict/4:

predict/4 ^^^^^^^^^^^^^

Predicts the class label for a new instance using the learned classifier and the given options. The instance is a list of Attribute-Value pairs.

| Compilation flags: | static

| Template: | predict(Classifier,Instance,Class,Options) | Mode and number of proofs: | predict(+compound,+list,-atom,+list(compound)) - one


.. index:: predict_probabilities/4 .. _knn_classifier/0::predict_probabilities/4:

predict_probabilities/4 ^^^^^^^^^^^^^^^^^^^^^^^^^^^

Predicts class probabilities for a new instance using the learned classifier and the given options. Returns a list of Class-Probability pairs. The instance is a list of Attribute-Value pairs.

| Compilation flags: | static

| Template: | predict_probabilities(Classifier,Instance,Probabilities,Options) | Mode and number of proofs: | predict_probabilities(+compound,+list,-list,+list(compound)) - one


Protected predicates

(no local declarations; see entity ancestors if any)

Private predicates

(no local declarations; see entity ancestors if any)

Operators

(none)

.. seealso::

:ref:`dataset_protocol <dataset_protocol/0>`, :ref:`c45_classifier <c45_classifier/0>`, :ref:`isolation_forest_anomaly_detector <isolation_forest_anomaly_detector/0>`, :ref:`naive_bayes_classifier <naive_bayes_classifier/0>`, :ref:`nearest_centroid_classifier <nearest_centroid_classifier/0>`, :ref:`random_forest_classifier <random_forest_classifier/0>`, :ref:`adaptive_boosting_classifier <adaptive_boosting_classifier/0>`