/*
* 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 ::
* Extracts a vocabulary from document collections and generates a {@link CountVectorizerModel}.
* @class
* @memberof module:eclairjs/ml/feature
* @param {string} [uid]
* @constructor
*/
var CountVectorizer = function (uid) {
this.logger = Logger.getLogger("ml.feature.CountVectorizer_js");
var jvmObject;
if (uid) {
if (uid instanceof org.apache.spark.ml.feature.CountVectorizer) {
jvmObject = uid;
} else {
jvmObject = new org.apache.spark.ml.feature.CountVectorizer(uid);
}
} else {
jvmObject = new org.apache.spark.ml.feature.CountVectorizer();
}
JavaWrapper.call(this, jvmObject);
};
CountVectorizer.prototype = Object.create(JavaWrapper.prototype);
CountVectorizer.prototype.constructor = CountVectorizer;
/**
* An immutable unique ID for the object and its derivatives.
* @returns {string}
*/
CountVectorizer.prototype.uid = function () {
return this.getJavaObject().uid();
};
/**
* @param {string} value
* @returns {module:eclairjs/ml/feature.CountVectorizer}
*/
CountVectorizer.prototype.setInputCol = function (value) {
var javaObject = this.getJavaObject().setInputCol(value);
return new CountVectorizer(javaObject);
};
/**
* @param {string} value
* @returns {module:eclairjs/ml/feature.CountVectorizer}
*/
CountVectorizer.prototype.setOutputCol = function (value) {
var javaObject = this.getJavaObject().setOutputCol(value);
return new CountVectorizer(javaObject);
};
/**
* @param {integer} value
* @returns {module:eclairjs/ml/feature.CountVectorizer}
*/
CountVectorizer.prototype.setVocabSize = function (value) {
var javaObject = this.getJavaObject().setVocabSize(value);
return new CountVectorizer(javaObject);
};
/**
* @param {float} value
* @returns {module:eclairjs/ml/feature.CountVectorizer}
*/
CountVectorizer.prototype.setMinDF = function (value) {
var javaObject = this.getJavaObject().setMinDF(value);
return new CountVectorizer(javaObject);
};
/**
* @param {float} value
* @returns {module:eclairjs/ml/feature.CountVectorizer}
*/
CountVectorizer.prototype.setMinTF = function (value) {
var javaObject = this.getJavaObject().setMinTF(value);
return new CountVectorizer(javaObject);
};
/**
* @param {module:eclairjs/sql.Dataset} dataset
* @returns {module:eclairjs/ml/feature.CountVectorizerModel}
*/
CountVectorizer.prototype.fit = function (dataset) {
var dataset_uw = Utils.unwrapObject(dataset);
var javaObject = this.getJavaObject().fit(dataset_uw);
return Utils.javaToJs(javaObject);
};
/**
* @param {module:eclairjs/sql/types.StructType} schema
* @returns {module:eclairjs/sql/types.StructType}
*/
CountVectorizer.prototype.transformSchema = function (schema) {
var schema_uw = Utils.unwrapObject(schema);
var javaObject = this.getJavaObject().transformSchema(schema_uw);
return Utils.javaToJs(javaObject);
};
/**
* @param {boolean} value
* @returns {module:eclairjs/ml/feature.CountVectorizer}
*/
CountVectorizer.prototype.setBinary = function(value) {
var javaObject = this.getJavaObject().setBinary(value);
return new CountVectorizer(javaObject);
};
/**
* @param {module:eclairjs/ml/param.ParamMap} extra
* @returns {module:eclairjs/ml/feature.CountVectorizer}
*/
CountVectorizer.prototype.copy = function (extra) {
var extra_uw = Utils.unwrapObject(extra);
var javaObject = this.getJavaObject().copy(extra_uw);
return new CountVectorizer(javaObject);
};
/**
* Max size of the vocabulary. CountVectorizer will build a vocabulary that only considers the top vocabSize
* terms ordered by term frequency across the corpus.
* Default: 2^18^
* @returns {module:eclairjs/ml/param.IntParam}
*/
CountVectorizer.prototype.vocabSize = function () {
var javaObject = this.getJavaObject().vocabSize();
return Utils.javaToJs(javaObject);
};
/**
*
* @returns {integer}
*/
CountVectorizer.prototype.getVocabSize = function () {
return this.getJavaObject().getVocabSize();
};
/**
* Specifies the minimum number of different documents a term must appear in to be included in the vocabulary.
* If this is an integer >= 1, this specifies the number of documents the term must appear in;
* if this is a double in [0,1), then this specifies the fraction of documents.
* @returns {module:eclairjs/ml/param.DoubleParam}
*/
CountVectorizer.prototype.minDF = function () {
var javaObject = this.getJavaObject().minDF();
return Utils.javaToJs(javaObject);
};
/**
*
* @returns {float}
*/
CountVectorizer.prototype.getMinDF = function () {
return this.getJavaObject().getMinDF();
};
/**
* Validates and transforms the input schema.
* @param {module:eclairjs/sql/types.StructType} schema
* @returns {module:eclairjs/sql/types.StructType}
*/
CountVectorizer.prototype.validateAndTransformSchema = function (schema) {
var schema_uw = Utils.unwrapObject(schema);
var javaObject = this.getJavaObject().validateAndTransformSchema(schema_uw);
return Utils.javaToJs(javaObject);
};
/**
*
* @returns {float}
*/
CountVectorizer.prototype.getMinTF = function () {
return this.getJavaObject().getMinTF();
};
//
// static methods
//
/**
* @param {string} path
* @returns {module:eclairjs/ml/feature.CountVectorizer}
*/
CountVectorizer.load = function (path) {
var javaObject = org.apache.spark.ml.feature.CountVectorizer.load(path);
return new CountVectorizer(javaObject);
};
module.exports = CountVectorizer;
})();