/*
* Copyright 2016 IBM Corp.
*
* 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.
*/
module.exports = function(kernelP) {
return (function() {
var Utils = require('../../utils.js');
var Estimator = require('../Estimator')();
var gKernelP = kernelP;
/**
* @classdesc
* `QuantileDiscretizer` takes a column with continuous features and outputs a column with binned
* categorical features. The number of bins can be set using the `numBuckets` parameter.
* The bin ranges are chosen using an approximate algorithm (see the documentation for
* [[org.apache.spark.sql.DatasetStatFunctions.approxQuantile approxQuantile]]
* for a detailed description). The precision of the approximation can be controlled with the
* `relativeError` parameter. The lower and upper bin bounds will be `-Infinity` and `+Infinity`,
* covering all real values.
* @class
* @extends module:eclairjs/ml.Estimator
* @memberof module:eclairjs/ml/feature
* @param {string} [uid]
*/
function QuantileDiscretizer() {
Utils.handleConstructor(this, arguments, gKernelP);
}
QuantileDiscretizer.prototype = Object.create(Estimator.prototype);
QuantileDiscretizer.prototype.constructor = QuantileDiscretizer;
/**
* @param {number} value
* @returns {type}
*/
QuantileDiscretizer.prototype.setRelativeError = function(value) {
var args ={
target: this,
method: 'setRelativeError',
args: Utils.wrapArguments(arguments),
returnType: QuantileDiscretizer
};
return Utils.generate(args);
};
/**
* @param {number} value
* @returns {module:eclairjs/ml/feature.QuantileDiscretizer}
*/
QuantileDiscretizer.prototype.setNumBuckets = function(value) {
var args = {
target: this,
method: 'setNumBuckets',
args: Utils.wrapArguments(arguments),
returnType: QuantileDiscretizer
};
return Utils.generate(args);
};
/**
* @param {string} value
* @returns {module:eclairjs/ml/feature.QuantileDiscretizer}
*/
QuantileDiscretizer.prototype.setInputCol = function(value) {
var args = {
target: this,
method: 'setInputCol',
args: Utils.wrapArguments(arguments),
returnType: QuantileDiscretizer
};
return Utils.generate(args);
};
/**
* @param {string} value
* @returns {module:eclairjs/ml/feature.QuantileDiscretizer}
*/
QuantileDiscretizer.prototype.setOutputCol = function(value) {
var args = {
target: this,
method: 'setOutputCol',
args: Utils.wrapArguments(arguments),
returnType: QuantileDiscretizer
};
return Utils.generate(args);
};
/**
* @param {module:eclairjs/ml/param.ParamMap} extra
* @returns {module:eclairjs/ml/feature.QuantileDiscretizer}
*/
QuantileDiscretizer.prototype.copy = function(extra) {
var args = {
target: this,
method: 'copy',
args: Utils.wrapArguments(arguments),
returnType: QuantileDiscretizer
};
return Utils.generate(args);
};
/**
* @param {module:eclairjs/sql/types.StructType} schema
* @returns {StructType}
*/
QuantileDiscretizer.prototype.transformSchema = function(schema) {
var StructType = require('../../sql/types/StructType.js')();
var args ={
target: this,
method: 'transformSchema',
args: Utils.wrapArguments(arguments),
returnType: StructType
};
return Utils.generate(args);
};
/**
* @param {module:eclairjs/sql.Dataset} dataset
* @returns {Bucketizer}
*/
QuantileDiscretizer.prototype.fit = function(dataset) {
var Bucketizer = require('./Bucketizer.js')();
var args ={
target: this,
method: 'fit',
args: Utils.wrapArguments(arguments),
returnType: Bucketizer
};
return Utils.generate(args);
};
//
// static methods
//
/**
* @param {string} path
* @returns {module:eclairjs/ml/feature.QuantileDiscretizer}
*/
QuantileDiscretizer.load = function(path) {
var args = {
target: QuantileDiscretizer,
method: 'load',
kernelP: gKernelP,
static: true,
args: Utils.wrapArguments(arguments),
returnType: QuantileDiscretizer
};
return Utils.generate(args);
};
QuantileDiscretizer.moduleLocation = '/ml/feature/QuantileDiscretizer';
return QuantileDiscretizer;
})();
};