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Roman Kalivoda
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//
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// Author: Roman Kalivoda
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//
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using System.Collections.Generic;
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d358b79e
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Roman Kalivoda
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using ServerApp.Connection.XMLProtocolHandler;
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ebe96ca4
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Roman Kalivoda
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namespace ServerApp.Predictor
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{
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/// <summary>
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/// Interface for PredictionController class. Defines basic interface methods to access the "model" package.
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/// </summary>
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public interface IPredictionController
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{
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/// <summary>
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/// </summary>
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Roman Kalivoda
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/// <returns>A list with all existing predictors.</returns>
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Roman Kalivoda
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List<string> GetPredictors();
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/// <summary>
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/// Trains all predictors. The training data are taken from given path location.
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/// </summary>
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Roman Kalivoda
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void Train();
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Roman Kalivoda
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/// <summary>
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/// Loads trained predictors from files in <c>path</c>.
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/// </summary>
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/// <param name="path">A path to folder with trained prediction model.</param>
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int Load(string path);
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Roman Kalivoda
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/// <summary>
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/// Rolls back the predictors to previous trained instances.
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/// </summary>
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int Rollback();
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Roman Kalivoda
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/// <summary>
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Roman Kalivoda
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/// Predicts turnout level at given time supposing given weather conditions.
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Roman Kalivoda
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/// </summary>
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Roman Kalivoda
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/// <param name="request">A request with time and weather information.</param>
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/// <returns>A server response filled with predictions.</returns>
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Response Predict(Request request);
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Roman Kalivoda
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/// <summary>
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/// Returns the filenames of data files used to train current predictor instances
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/// </summary>
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/// <returns>Collection of filenames</returns>
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IEnumerable<string> GetDataFileNames();
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Roman Kalivoda
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/// <summary>
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/// Saves the predictors to model data path.
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/// </summary>
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public void Save();
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ebe96ca4
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Roman Kalivoda
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}
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}
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