/*
* 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
* :: Experimental ::
* Model produced by {@link AFTSurvivalRegression}.
* @class
* @memberof module:eclairjs/ml/regression
* @extends module:eclairjs/ml/util.MLWritable
*/
function AFTSurvivalRegressionModel() {
Utils.handleConstructor(this, arguments, gKernelP);
}
/**
* @param {string} value
* @returns {module:eclairjs/ml/regression.AFTSurvivalRegressionModel}
*/
AFTSurvivalRegressionModel.prototype.setFeaturesCol = function(value) {
var args = {
target: this,
method: 'setFeaturesCol',
args: Utils.wrapArguments(arguments),
returnType: AFTSurvivalRegressionModel
};
return Utils.generate(args);
};
/**
* @param {string} value
* @returns {module:eclairjs/ml/regression.AFTSurvivalRegressionModel}
*/
AFTSurvivalRegressionModel.prototype.setPredictionCol = function(value) {
var args = {
target: this,
method: 'setPredictionCol',
args: Utils.wrapArguments(arguments),
returnType: AFTSurvivalRegressionModel
};
return Utils.generate(args);
};
/**
* @param {number[]} value
* @returns {module:eclairjs/ml/regression.AFTSurvivalRegressionModel}
*/
AFTSurvivalRegressionModel.prototype.setQuantileProbabilities = function(value) {
var args = {
target: this,
method: 'setQuantileProbabilities',
args: Utils.wrapArguments(arguments),
returnType: AFTSurvivalRegressionModel
};
return Utils.generate(args);
};
/**
* @param {string} value
* @returns {module:eclairjs/ml/regression.AFTSurvivalRegressionModel}
*/
AFTSurvivalRegressionModel.prototype.setQuantilesCol = function(value) {
var args = {
target: this,
method: 'setQuantilesCol',
args: Utils.wrapArguments(arguments),
returnType: AFTSurvivalRegressionModel
};
return Utils.generate(args);
};
/**
* @param {module:eclairjs/mllib/linalg.Vector} features
* @returns {module:eclairjs/mllib/linalg.Vector}
*/
AFTSurvivalRegressionModel.prototype.predictQuantiles = function(features) {
var Vector = require('../../mllib/linalg/Vector.js');
var args = {
target: this,
method: 'predictQuantiles',
args: Utils.wrapArguments(arguments),
returnType: Vector
};
return Utils.generate(args);
};
/**
* @param {module:eclairjs/mllib/linalg.Vector} features
* @returns {Promise.<number>}
*/
AFTSurvivalRegressionModel.prototype.predict = function(features) {
var args = {
target: this,
method: 'predict',
args: Utils.wrapArguments(arguments),
returnType: Number
};
return Utils.generate(args);
};
/**
* @param {module:eclairjs/sql.Dataset} dataset
* @returns {module:eclairjs/sql.Dataset}
*/
AFTSurvivalRegressionModel.prototype.transform = function(dataset) {
var Dataset = require('../../sql/Dataset.js');
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}
*/
AFTSurvivalRegressionModel.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/ml/regression.AFTSurvivalRegressionModel}
*/
AFTSurvivalRegressionModel.prototype.copy = function(extra) {
var args = {
target: this,
method: 'copy',
args: Utils.wrapArguments(arguments),
returnType: AFTSurvivalRegressionModel
};
return Utils.generate(args);
};
/**
* @returns {MLWriter}
*/
AFTSurvivalRegressionModel.prototype.write = function() {
throw "not implemented by ElairJS";
// var args ={
// target: this,
// method: 'write',
// returnType: MLWriter
//
// };
//
// return Utils.generate(args);
};
/**
* An immutable unique ID for the object and its derivatives.
* @returns {Promise.<string>
*/
AFTSurvivalRegressionModel.prototype.uid = function() {
var args = {
target: this,
method: 'uid',
args: Utils.wrapArguments(arguments),
returnType: String
};
return Utils.generate(args);
};
/**
*
* @returns {module:eclairjs/mllib/linalg.Vector}
*/
AFTSurvivalRegressionModel.prototype.coefficients = function() {
var Vector = require('../../mllib/linalg/Vector.js');
var args = {
target: this,
method: 'coefficients',
args: Utils.wrapArguments(arguments),
returnType: Vector
};
return Utils.generate(args);
};
/**
*
* @returns {Promise.<Number>
*/
AFTSurvivalRegressionModel.prototype.intercept = function() {
var args = {
target: this,
method: 'intercept',
args: Utils.wrapArguments(arguments),
returnType: Number
};
return Utils.generate(args);
};
/**
*
* @returns {Promise.<Number>
*/
AFTSurvivalRegressionModel.prototype.scale = function() {
var args = {
target: this,
method: 'scale',
args: Utils.wrapArguments(arguments),
returnType: Number
};
return Utils.generate(args);
};
/**
* Param for censor column name. The value of this column could be 0 or 1.
* If the value is 1, it means the event has occurred i.e. uncensored; otherwise censored.
* @returns {module:eclairjs/ml/param.Param}
*/
AFTSurvivalRegressionModel.prototype.censorCol = function() {
var Param = require('../param/Param')();
var args = {
target: this,
method: 'censorCol',
args: Utils.wrapArguments(arguments),
returnType: Param
};
return Utils.generate(args);
};
/**
* @returns {Promise.<string>
*/
AFTSurvivalRegressionModel.prototype.getCensorCol = function() {
var args = {
target: this,
method: 'getCensorCol',
args: Utils.wrapArguments(arguments),
returnType: String
};
return Utils.generate(args);
};
/**
* Param for quantile probabilities array. Values of the quantile probabilities array should be in the range (0, 1) and the array should be non-empty.
* @returns {DoubleArrayParam}
*/
AFTSurvivalRegressionModel.prototype.quantileProbabilities = function() {
throw "not implemented by ElairJS";
};
/**
* @returns {Promise.<Number[]>
*/
AFTSurvivalRegressionModel.prototype.getQuantileProbabilities = function() {
var args = {
target: this,
method: 'getQuantileProbabilities',
args: Utils.wrapArguments(arguments),
returnType: [Number]
};
return Utils.generate(args);
};
/**
* Param for quantiles column name. This column will output quantiles of corresponding quantileProbabilities if it is set.
* @returns {module:eclairjs/ml/param.Param}
*/
AFTSurvivalRegressionModel.prototype.quantilesCol = function() {
var Param = require('../param/Param')();
var args = {
target: this,
method: 'quantilesCol',
args: Utils.wrapArguments(arguments),
returnType: Param
};
return Utils.generate(args);
};
/**
* @returns {Promise.<string>
*/
AFTSurvivalRegressionModel.prototype.getQuantilesCol = function() {
var args = {
target: this,
method: 'getQuantilesCol',
args: Utils.wrapArguments(arguments),
returnType: String
};
return Utils.generate(args);
};
/**
* Checks whether the input has quantiles column name.
* @returns {Promise.<boolean>
*/
AFTSurvivalRegressionModel.prototype.hasQuantilesCol = function() {
var args = {
target: this,
method: 'hasQuantilesCol',
args: Utils.wrapArguments(arguments),
returnType: Boolean
};
return Utils.generate(args);
};
/**
* Validates and transforms the input schema with the provided param map.
* @param {module:eclairjs/sql/types.StructType} schema input schema
* @param {boolean} fitting whether this is in fitting or prediction
* @returns {module:eclairjs/sql/types.StructType}
*/
AFTSurvivalRegressionModel.prototype.validateAndTransformSchema = function (schema, fitting) {
var StructType = require('../../sql/types/StructType.js')();
var args = {
target: this,
method: 'validateAndTransformSchema',
args: Utils.wrapArguments(arguments),
returnType: StructType
};
return Utils.generate(args);
};
//
// static methods
//
/**
* @returns {MLReader}
*/
AFTSurvivalRegressionModel.read = function() {
throw "not implemented by ElairJS";
// var args ={
// target: AFTSurvivalRegressionModel,
// method: 'read',
// returnType: MLReader
//
// };
//
// return Utils.generate(args);
};
/**
* @param {string} path
* @returns {module:eclairjs/ml/regression.AFTSurvivalRegressionModel}
*/
AFTSurvivalRegressionModel.load = function(path) {
var args = {
target: AFTSurvivalRegressionModel,
method: 'load',
args: Utils.wrapArguments(arguments),
static: true,
kernelP: gKernelP,
returnType: AFTSurvivalRegressionModel
};
return Utils.generate(args);
};
AFTSurvivalRegressionModel.moduleLocation = '/ml/regression/AFTSurvivalRegressionModel';
return AFTSurvivalRegressionModel;
})();
};