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'; /** * Create an SGD single-precision floating-point params object. * * @module @stdlib/ml/base/sgd/params/float32 * * @example * var Float32Array = require( '@stdlib/array/float32' ); * var Params = require( '@stdlib/ml/base/sgd/params/float32' ); * * var params = new Params(); * // returns <Params> * * params.penaltyParams = new Float32Array( [ 2.5, 0.0 ] ); * params.learningRateParams = new Float32Array( [ 0.01, 0.0 ] ); * params.lossFunctionParams = new Float32Array( [ 0.0 ] ); * params.intercept = 0.0; * params.maxIter = 500; * params.penalty = 'l2'; * params.learningRate = 'constant'; * params.lossFunction = 'hinge'; * params.fitIntercept = true; * * var str = params.toString(); * // returns <string> */ // MODULES // var main = require( './main.js' ); // EXPORTS // module.exports = main; |