object

# `linear_svm_classifier`

Linear support vector machine classifier supporting binary and multiclass classification using one-vs-rest margin models. 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(linear_svm_classifier(loader))`
Author: Paulo Moura
Version: 2:0:0
Date: 2026-05-11
Compilation flags:
`static, context_switching_calls`
Imports:
`public` classifier_common
Uses:
format
linear_algebra
list
numberlist
pairs
population
type
Remarks:
(none)
Inherited public predicates:
check_classifier/1 check_option/1 check_options/1 classifier_options/2 default_option/1 default_options/1 diagnostic/2 diagnostics/2 export_to_clauses/4 export_to_file/4 learn/2 learn/3 option/2 option/3 predict/3 print_classifier/1 valid_classifier/1 valid_option/1 valid_options/1

## Public predicates

(no local declarations; see entity ancestors if any)

## Protected predicates

(no local declarations; see entity ancestors if any)

## Private predicates

(no local declarations; see entity ancestors if any)

## Operators

(none)

See also

dataset_protocol, logistic_regression_classifier, c45_classifier, knn_classifier, naive_bayes_classifier, nearest_centroid_classifier, random_forest_classifier, adaptive_boosting_classifier