Press n or j to go to the next uncovered block, b, p or k for the previous block.
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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 epsilon insensitive loss.
*
* @param {number} e - insensitivity parameter
* @param {number} y - true target value
* @param {number} p - predicted value
* @returns {number} squared epsilon insensitive loss
*
* @example
* var v = squaredEpsilonInsensitive( 5.0, 10.2, 0.782 );
* // returns ~19.519
*
* @example
* var v = squaredEpsilonInsensitive( 2.0, 8.0, 0.202 );
* // returns ~33.617
*
* @example
* var v = squaredEpsilonInsensitive( 1.0, 23.2, -0.999 );
* // returns ~538.194
*
* @example
* var v = squaredEpsilonInsensitive( 11.0, -12.2, 0.234 );
* // returns ~2.056
*
* @example
* var v = squaredEpsilonInsensitive( 2.0, -21.0, 0.2 );
* // returns 368.64
*
* @example
* var v = squaredEpsilonInsensitive( 9.0, 4.0, -0.9 );
* // returns 0.0
*/
function squaredEpsilonInsensitive( e, y, p ) {
var z;
if ( isnan( e ) || isnan( y ) || isnan( p ) ) {
return NaN;
}
z = y - p;
if ( z > e ) {
return ( z-e ) * ( z-e );
}
if ( z < -e ) {
return ( z+e ) * ( z+e );
}
return 0.0;
}
// EXPORTS //
module.exports = squaredEpsilonInsensitive;
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