blob: dfbf4b145354c718d4ad892e771da89b6b99d909 [file] [log] [blame]
// Licensed to the Apache Software Foundation (ASF) under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you 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
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// KIND, either express or implied. See the License for the
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// under the License.
using System.Collections.Generic;
using Org.Apache.REEF.Examples.MachineLearning.KMeans.codecs;
using Org.Apache.REEF.Utilities;
namespace Org.Apache.REEF.Examples.MachineLearning.KMeans
{
/// <summary>
/// ProcessedResults includes a list of "PartialMeans" and "Partial loss", but it can be used to denote
/// the "whole" means as well, aggregated from all PartialMeans
/// </summary>
public class ProcessedResults
{
public ProcessedResults(List<PartialMean> means, float loss)
{
Means = means;
Loss = loss;
}
public List<PartialMean> Means { get; set; }
/// <summary>
/// the loss for current slice computed from
/// </summary>
public float Loss { get; set; }
/// <summary>
/// helper function mostly used for logging
/// </summary>
/// <returns>seralized string</returns>
public override string ToString()
{
return ByteUtilities.ByteArraysToString(new ProcessedResultsCodec().Encode(this));
}
}
}