org.pmml4s.model.package.scala Maven / Gradle / Ivy
/*
* Copyright (c) 2017-2019 AutoDeploy AI
*
* 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.
*/
package org.pmml4s
/**
* PMML is a standard for XML documents which express trained instances of analytic models. The following classes of
* model are addressed:
*
* - Association Rules, implemented by [[org.pmml4s.model.AssociationModel]]
* - Baseline Models, ***NOT IMPLEMENTED***
* - Bayesian Network, ***NOT IMPLEMENTED***
* - Center-Based & Distribution-Based Clustering, implemented by [[org.pmml4s.model.ClusteringModel]]
* - Gaussian Process, ***NOT IMPLEMENTED***
* - General Regression, implemented by [[org.pmml4s.model.GeneralRegressionModel]]
* - k-Nearest Neighbors, implemented by [[org.pmml4s.model.NearestNeighborModel]]
* - Naive Bayes, implemented by [[org.pmml4s.model.NaiveBayesModel]]
* - Neural Networks, implemented by [[org.pmml4s.model.NeuralNetwork]]
* - Regression, implemented by [[org.pmml4s.model.RegressionModel]]
* - Ruleset, implemented by [[org.pmml4s.model.RuleSetModel]]
* - Scorecard, implemented by [[org.pmml4s.model.Scorecard]]
* - Sequences, ***NOT IMPLEMENTED***
* - Text, ***NOT IMPLEMENTED***
* - Time Series, ***NOT IMPLEMENTED***
* - Decision Trees, implemented by [[org.pmml4s.model.TreeModel]]
* - Support Vector Machine, implemented by [[org.pmml4s.model.SupportVectorMachineModel]]
*/
package object model {
}