/*
* 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.
*/
(function () {
var JavaWrapper = require(EclairJS_Globals.NAMESPACE + '/JavaWrapper');
var Logger = require(EclairJS_Globals.NAMESPACE + '/Logger');
var Utils = require(EclairJS_Globals.NAMESPACE + '/Utils');
/**
* :: Experimental ::
* Model produced by {@link AFTSurvivalRegression}.
* @classdesc
* @class
* @memberof module:eclairjs/ml/regression
*/
var AFTSurvivalRegressionModel = function (jvmObject) {
this.logger = Logger.getLogger("AFTSurvivalRegressionModel_js");
//MLWritable.call(this, jvmObject);
JavaWrapper.call(this, jvmObject);
};
//AFTSurvivalRegressionModel.prototype = Object.create(MLWritable.prototype);
AFTSurvivalRegressionModel.prototype = Object.create(JavaWrapper.prototype);
AFTSurvivalRegressionModel.prototype.constructor = AFTSurvivalRegressionModel;
/**
* @param {string} value
* @returns {module:eclairjs/ml/regression.AFTSurvivalRegressionModel}
*/
AFTSurvivalRegressionModel.prototype.setFeaturesCol = function (value) {
var javaObject = this.getJavaObject().setFeaturesCol(value);
return Utils.javaToJs(javaObject);
};
/**
* @param {string} value
* @returns {module:eclairjs/ml/regression.AFTSurvivalRegressionModel}
*/
AFTSurvivalRegressionModel.prototype.setPredictionCol = function (value) {
var javaObject = this.getJavaObject().setPredictionCol(value);
return Utils.javaToJs(javaObject);
};
/**
* @param {float[]} value
* @returns {module:eclairjs/ml/regression.AFTSurvivalRegressionModel}
*/
AFTSurvivalRegressionModel.prototype.setQuantileProbabilities = function (value) {
var javaObject = this.getJavaObject().setQuantileProbabilities(value);
return Utils.javaToJs(javaObject);
};
/**
* @param {string} value
* @returns {module:eclairjs/ml/regression.AFTSurvivalRegressionModel}
*/
AFTSurvivalRegressionModel.prototype.setQuantilesCol = function (value) {
var javaObject = this.getJavaObject().setQuantilesCol(value);
return Utils.javaToJs(javaObject);
};
/**
* @param {module:eclairjs/mllib/linalg.Vector} features
* @returns {module:eclairjs/mllib/linalg.Vector}
*/
AFTSurvivalRegressionModel.prototype.predictQuantiles = function (features) {
var features_uw = Utils.unwrapObject(features);
var javaObject = this.getJavaObject().predictQuantiles(features_uw);
return Utils.javaToJs(javaObject);
};
/**
* @param {module:eclairjs/mllib/linalg.Vector} features
* @returns {float}
*/
AFTSurvivalRegressionModel.prototype.predict = function (features) {
var features_uw = Utils.unwrapObject(features);
return this.getJavaObject().predict(features_uw);
};
/**
* @param {module:eclairjs/sql.Dataset} dataset
* @returns {module:eclairjs/sql.Dataset}
*/
AFTSurvivalRegressionModel.prototype.transform = function (dataset) {
var dataset_uw = Utils.unwrapObject(dataset);
var javaObject = this.getJavaObject().transform(dataset_uw);
return Utils.javaToJs(javaObject);
};
/**
* @param {module:eclairjs/sql/types.StructType} schema
* @returns {module:eclairjs/sql/types.StructType}
*/
AFTSurvivalRegressionModel.prototype.transformSchema = function (schema) {
var schema_uw = Utils.unwrapObject(schema);
var javaObject = this.getJavaObject().transformSchema(schema_uw);
return Utils.javaToJs(javaObject);
};
/**
* @param {module:eclairjs/ml/param.ParamMap} extra
* @returns {module:eclairjs/ml/regression.AFTSurvivalRegressionModel}
*/
AFTSurvivalRegressionModel.prototype.copy = function (extra) {
var extra_uw = Utils.unwrapObject(extra);
var javaObject = this.getJavaObject().copy(extra_uw);
return Utils.javaToJs(javaObject);
};
/**
* @returns {MLWriter}
*/
AFTSurvivalRegressionModel.prototype.write = function () {
var MLWriter = require(EclairJS_Globals.NAMESPACE + '/ml/util/MLWriter');
var javaObject = this.getJavaObject().write();
/*
the object is an inner class so don't use Utils.javaToJs
to create the MLWriter object.
*/
return new MLWriter(javaObject);
};
/**
* An immutable unique ID for the object and its derivatives.
* @returns {string}
*/
AFTSurvivalRegressionModel.prototype.uid = function () {
return this.getJavaObject().uid();
};
/**
*
* @returns {module:eclairjs/mllib/linalg.Vector}
*/
AFTSurvivalRegressionModel.prototype.coefficients = function () {
var javaObject = this.getJavaObject().coefficients();
return Utils.javaToJs(javaObject);
};
/**
*
* @returns {flaot}
*/
AFTSurvivalRegressionModel.prototype.intercept = function () {
return this.getJavaObject().intercept();
};
/**
*
* @returns {flaot}
*/
AFTSurvivalRegressionModel.prototype.scale = function () {
return this.getJavaObject().scale();
};
/**
* 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 javaObject = this.getJavaObject().censorCol();
return Utils.javaToJs(javaObject);
};
/**
* @returns {string}
*/
AFTSurvivalRegressionModel.prototype.getCensorCol = function () {
return this.getJavaObject().getCensorCol();
};
/**
* 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 () {
var javaObject = this.getJavaObject().quantileProbabilities();
return Utils.javaToJs(javaObject);
};
/**
* @returns {float[]}
*/
AFTSurvivalRegressionModel.prototype.getQuantileProbabilities = function () {
return this.getJavaObject().getQuantileProbabilities();
};
/**
* 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 javaObject = this.getJavaObject().quantilesCol();
return Utils.javaToJs(javaObject);
};
/**
* @returns {string}
*/
AFTSurvivalRegressionModel.prototype.getQuantilesCol = function () {
return this.getJavaObject().getQuantilesCol();
};
/**
* Checks whether the input has quantiles column name.
* @returns {boolean}
*/
AFTSurvivalRegressionModel.prototype.hasQuantilesCol = function () {
return this.getJavaObject().hasQuantilesCol();
};
/**
* 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 schema_uw = Utils.unwrapObject(schema);
var javaObject = this.getJavaObject().validateAndTransformSchema(schema_uw, fitting);
return Utils.javaToJs(javaObject);
};
//
// static methods
//
/**
* @returns {MLReader}
*/
AFTSurvivalRegressionModel.read = function () {
var MLReader = require(EclairJS_Globals.NAMESPACE + '/ml/util/MLReader');
var javaObject = org.apache.spark.ml.regression.AFTSurvivalRegressionModel.read();
/*
The object is and inner class so don't user Utils.javaToJs
to create th MLReader.
*/
return new MLReader(javaObject);
};
/**
* @param {string} path
* @returns {module:eclairjs/ml/regression.AFTSurvivalRegressionModel}
*/
AFTSurvivalRegressionModel.load = function (path) {
var javaObject = org.apache.spark.ml.regression.AFTSurvivalRegressionModel.load(path);
return Utils.javaToJs(javaObject);
};
module.exports = AFTSurvivalRegressionModel;
})();