sgd_classifier — Logtalk 3.100.1

object

# `sgd_classifier`

Stochastic gradient descent classifier supporting one-vs-rest linear models with configurable losses including `log_loss`, `hinge`, `squared_hinge`, `modified_huber`, and `perceptron`.

Availability:
`logtalk_load(sgd_classifier(loader))`
Author: Paulo Moura
Version: 1:0:0
Date: 2026-05-11
Compilation flags:
`static, context_switching_calls`
Imports:
`public` probabilistic_classifier_common
Uses:
format
linear_algebra
list
numberlist
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 predict_probabilities/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, linear_svm_classifier, knn_classifier, nearest_centroid_classifier