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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';
// MODULES //
var isnan = require( '@stdlib/math/base/assert/is-nan' );
// MAIN //
/**
* Computes the squared error loss.
*
* ## Notes
*
* - The squared error loss is defined as the squared difference of the observed and fitted value.
*
* @param {number} y - true target value
* @param {number} p - predicted value
* @returns {number} squared error loss
*
* @example
* var v = squaredError( -2.0, -1.782 );
* // returns ~0.0238
*
* @example
* var v = squaredError( 0.202, 0.202 );
* // returns 0.0
*
* @example
* var v = squaredError( 1.0, -0.999 );
* // returns ~1.998
*
* @example
* var v = squaredError( -2.4, 0.234 );
* // returns ~3.469
*
* @example
* var v = squaredError( 0.2, 0.532 );
* // returns ~0.0551
*
* @example
* var v = squaredError( -1.811, -0.9 );
* // returns ~0.415
*/
function squaredError( y, p ) {
var z;
if ( isnan( y ) || isnan( p ) ) {
return NaN;
}
z = y - p;
return 0.5 * z * z;
}
// EXPORTS //
module.exports = squaredError;
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