Press n or j to go to the next uncovered block, b, p or k for the previous block.
| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 | 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x | /**
* @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 penalties to integer values for purposes of C inter-operation.
*
* ## Notes
*
* - Downstream consumers of this mapping should **not** rely on specific integer values (e.g., `ELASTICNET == 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 penalties to integer values
*
* @example
* var table = enumerated();
* // returns <Object>
*/
function enumerated() {
// NOTE: the following should match the C `penalties.h` enumeration!!!!
return {
// Regularization method that linearly combines the `L1` and `L2` penalties of the lasso and ridge methods:
'elasticnet': 0,
// L1 regularization (also called LASSO) leads to sparse models by adding a penalty based on the absolute value of coefficients:
'l1': 1,
// L2 regularization (also called ridge regression) encourages smaller, more evenly distributed weights by adding a penalty based on the square of the coefficients:
'l2': 2
};
}
// EXPORTS //
module.exports = enumerated;
|