/*
* 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');
/**
* @classdesc
* :: Experimental ::
* A feature transformer that takes the 1D discrete cosine transform of a real vector. No zero
* padding is performed on the input vector.
* It returns a real vector of the same length representing the DCT. The return vector is scaled
* such that the transform matrix is unitary (aka scaled DCT-II).
*
* More information on [[https://en.wikipedia.org/wiki/Discrete_cosine_transform#DCT-II Wikipedia]].
* @class
* @memberof module:eclairjs/ml/feature
* @param {string} [uid]
* @constructor
*/
var DCT = function (uid) {
this.logger = Logger.getLogger("ml.feature.DCT_js");
var jvmObject;
if (uid) {
if (uid instanceof org.apache.spark.ml.feature.DCT) {
jvmObject = uid;
} else {
jvmObject = new org.apache.spark.ml.feature.DCT(uid);
}
} else {
jvmObject = new org.apache.spark.ml.feature.DCT();
}
JavaWrapper.call(this, jvmObject);
};
DCT.prototype = Object.create(JavaWrapper.prototype);
DCT.prototype.constructor = DCT;
/**
* An immutable unique ID for the object and its derivatives.
* @returns {string}
*/
DCT.prototype.uid = function () {
return this.getJavaObject().uid();
};
/**
* Indicates whether to perform the inverse DCT (true) or forward DCT (false).
* Default: false
* @returns {module:eclairjs/ml/param.BooleanParam}
*/
DCT.prototype.inverse = function () {
return Utils.javaToJs(this.getJavaObject().inverse());
};
/**
* @param {boolean} value
* @returns {module:eclairjs/ml/feature.DCT}
*/
DCT.prototype.setInverse = function (value) {
var javaObject = this.getJavaObject().setInverse(value);
return new DCT(javaObject);
};
/**
* @returns {boolean}
*/
DCT.prototype.getInverse = function () {
return this.getJavaObject().getInverse();
};
/**
* @param {module:eclairjs/sql.DataFrame} dataset
* @returns {module:eclairjs/sql.DataFrame}
*/
DCT.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}
*/
DCT.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/feature.DCT}
*/
DCT.prototype.copy = function (extra) {
var extra_uw = Utils.unwrapObject(extra);
var javaObject = this.getJavaObject().copy(extra_uw);
return Utils.javaToJs(javaObject);
};
/**
* @param {string} value
* @returns {module:eclairjs/ml/feature.DCT}
*/
DCT.prototype.setInputCol = function (value) {
var javaObject = this.getJavaObject().setInputCol(value);
return Utils.javaToJs(javaObject);
};
/**
* @param {string} value
* @returns {module:eclairjs/ml/feature.DCT}
*/
DCT.prototype.setOutputCol = function (value) {
var javaObject = this.getJavaObject().setOutputCol(value);
return Utils.javaToJs(javaObject);
};
//
// static methods
//
/**
* @param {string} path
* @returns {module:eclairjs/ml/feature.DCT}
*/
DCT.load = function (path) {
var javaObject = org.apache.spark.ml.feature.DCT.load(path);
return new DCT(javaObject);
};
module.exports = DCT;
})();