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