protocol

`classifier_protocol`

Protocol for machine learning classifiers.

Availability:

logtalk_load(classifier_protocols(loader))

Author: Paulo Moura
Version: 1:0:0
Date: 2026-02-19

Compilation flags:

static

Dependencies:

(none)

Remarks:

(none)

Inherited public predicates:

(none)

Public predicates 

`learn/2`

Learns a classifier from the given dataset object.

Compilation flags:

static

Template:

learn(Dataset,Classifier)

Mode and number of proofs:

learn(+object_identifier,-compound) - one

`predict/3`

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

Compilation flags:

static

Template:

predict(Classifier,Instance,Class)

Mode and number of proofs:

predict(+compound,+list,-atom) - one

`classifier_to_clauses/4`

Converts a classifier into a list of predicate clauses. Functor is the functor for the generated predicate clauses.

Compilation flags:

static

Template:

classifier_to_clauses(Dataset,Classifier,Functor,Clauses)

Mode and number of proofs:

classifier_to_clauses(+object_identifier,+compound,+callable,-list(clause)) - one

`classifier_to_file/4`

Exports a classifier to a file. Functor is the functor for the generated predicate clauses.

Compilation flags:

static

Template:

classifier_to_file(Dataset,Classifier,Functor,File)

Mode and number of proofs:

classifier_to_file(+object_identifier,+compound,+callable,+atom) - one

`print_classifier/1`

Prints a classifier to the current output stream in a human-readable format.

Compilation flags:

static

Template:

print_classifier(Classifier)

Mode and number of proofs:

print_classifier(+compound) - one

Protected predicates 

(none)

Private predicates 

(none)

Operators 

(none)

classifier_protocol

`classifier_protocol`