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* @license Apache-2.0
*
* Copyright (c) 2026 The Stdlib Authors.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
'use strict';
// MAIN //
/**
* Returns an object mapping supported loss functions to integer values for purposes of C inter-operation.
*
* ## Notes
*
* - Downstream consumers of this mapping should **not** rely on specific integer values (e.g., `HINGE == 0`). Instead, the object should be used in an opaque manner.
* - The main purpose of this function is JavaScript and C inter-operation.
*
* @returns {Object} object mapping supported loss functions to integer values
*
* @example
* var table = enumerated();
* // returns <Object>
*/
function enumerated() {
// NOTE: the following should match the C `loss functions.h` enumeration!!!!
return {
// Corresponds to a soft-margin linear Support Vector Machine (SVM), which can handle non-linearly separable data:
'hinge': 0,
// Corresponds to Logistic Regression:
'log': 1,
// Huber loss function variant for classification:
'modifiedHuber': 2,
// Squared hinge loss function SVM (L2-SVM):
'squaredHinge': 3,
// Corresponds to the original perceptron by Rosenblatt (1957):
'perceptron': 4,
// Squared difference of the observed and fitted values:
'squaredError': 5,
// Squared-error loss for observations with error smaller than epsilon in magnitude, linear loss otherwise:
'huber': 6,
// Penalty is the absolute value of the error whenever the absolute error exceeds epsilon and zero otherwise:
'epsilonInsensitive': 7,
// Squared epsilon insensitive loss function:
'squaredEpsilonInsensitive': 8
};
}
// EXPORTS //
module.exports = enumerated;
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