/*
* 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 gKernelP = kernelP;
/**
* @classdesc
* Model fitted by {@link PCA}. Transforms vectors to a lower dimensional space.
*
* @param pc A principal components Matrix. Each column is one principal component.
* @class
* @memberof module:eclairjs/ml/feature
*/
function PCAModel() {
Utils.handleConstructor(this, arguments, gKernelP);
}
/**
* @param {string} value
* @returns {module:eclairjs/mllib/feature.PCAModel}
*/
PCAModel.prototype.setInputCol = function(value) {
var args = {
target: this,
method: 'setInputCol',
args: Utils.wrapArguments(arguments),
returnType: PCAModel
};
return Utils.generate(args);
};
/**
* @param {string} value
* @returns {module:eclairjs/mllib/feature.PCAModel}
*/
PCAModel.prototype.setOutputCol = function(value) {
var args = {
target: this,
method: 'setOutputCol',
args: Utils.wrapArguments(arguments),
returnType: PCAModel
};
return Utils.generate(args);
};
/**
* Transform a vector by computed Principal Components.
* NOTE: Vectors to be transformed must be the same length
* as the source vectors given to [[PCA.fit()]].
* @param {module:eclairjs/sql.Dataset} dataset
* @returns {module:eclairjs/sql.Dataset}
*/
PCAModel.prototype.transform = function(dataset) {
var Dataset = require('../../sql/Dataset');
var args = {
target: this,
method: 'transform',
args: Utils.wrapArguments(arguments),
returnType: Dataset
};
return Utils.generate(args);
};
/**
* @param {module:eclairjs/sql/types.StructType} schema
* @returns {module:eclairjs/sql/types.StructType}
*/
PCAModel.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/ml/param.ParamMap} extra
* @returns {module:eclairjs/mllib/feature.PCAModel}
*/
PCAModel.prototype.copy = function(extra) {
var args = {
target: this,
method: 'copy',
args: Utils.wrapArguments(arguments),
returnType: PCAModel
};
return Utils.generate(args)
};
/**
* @returns {MLWriter}
*/
PCAModel.prototype.write = function() {
throw "not implemented by ElairJS";
// var args ={
// target: this,
// method: 'write',
// returnType: MLWriter
//
// };
//
// return Utils.generate(args);
};
//
// static methods
//
/**
* @returns {MLReader}
*/
PCAModel.read = function() {
throw "not implemented by ElairJS";
// var args ={
// target: PCAModel,
// method: 'read',
// returnType: MLReader
//
// };
//
// return Utils.generate(args);
};
/**
* @param {string} path
* @returns {module:eclairjs/mllib/feature.PCAModel}
*/
PCAModel.load = function(path) {
var args = {
target: PCAModel,
method: 'load',
kernelP: gKernelP,
static: true,
args: Utils.wrapArguments(arguments),
returnType: PCAModelth
};
return Utils.generate(args);
};
PCAModel.moduleLocation = '/ml/feature/PCAModel';
return PCAModel;
})();
};