Package org.encog.app.analyst.commands

Source Code of org.encog.app.analyst.commands.CmdEvaluate

/*
* Encog(tm) Core v3.0 - Java Version
* http://www.heatonresearch.com/encog/
* http://code.google.com/p/encog-java/
* Copyright 2008-2011 Heaton Research, Inc.
*
* 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.
*  
* For more information on Heaton Research copyrights, licenses
* and trademarks visit:
* http://www.heatonresearch.com/copyright
*/
package org.encog.app.analyst.commands;

import java.io.File;

import org.encog.app.analyst.EncogAnalyst;
import org.encog.app.analyst.csv.AnalystEvaluateCSV;
import org.encog.app.analyst.script.prop.ScriptProperties;
import org.encog.app.analyst.util.AnalystReportBridge;
import org.encog.ml.MLMethod;
import org.encog.persist.EncogDirectoryPersistence;
import org.encog.util.logging.EncogLogging;

/**
* This class is used to evaluate a machine learning method. Evaluation data is
* provided and the ideal and actual responses from the machine learning method
* are written to a file.
*
*/
public class CmdEvaluate extends Cmd {

  /**
   * The name of this command.
   */
  public static final String COMMAND_NAME = "EVALUATE";

  /**
   * Construct the evaluate command.
   *
   * @param theAnalyst The analyst to use.
   */
  public CmdEvaluate(final EncogAnalyst theAnalyst) {
    super(theAnalyst);
  }


  /**
   * {@inheritDoc}
   */
  @Override
  public final boolean executeCommand(final String args) {
    // get filenames
    final String evalID = getProp().getPropertyString(
        ScriptProperties.ML_CONFIG_EVAL_FILE);
    final String resourceID = getProp().getPropertyString(
        ScriptProperties.ML_CONFIG_MACHINE_LEARNING_FILE);

    final String outputID = getProp().getPropertyString(
        ScriptProperties.ML_CONFIG_OUTPUT_FILE);
   
    EncogLogging.log(EncogLogging.LEVEL_DEBUG,
      "Beginning evaluate");
    EncogLogging.log(EncogLogging.LEVEL_DEBUG,
        "evaluate file:" + evalID);
    EncogLogging.log(EncogLogging.LEVEL_DEBUG,
        "resource file:" + resourceID);

    final File evalFile = getScript().resolveFilename(evalID);
    final File resourceFile = getScript().resolveFilename(resourceID);

    final File outputFile = getAnalyst().getScript().resolveFilename(
        outputID);

    final MLMethod method = (MLMethod) EncogDirectoryPersistence
        .loadObject(resourceFile);

    final boolean headers = getScript().expectInputHeaders(evalID);

    final AnalystEvaluateCSV eval = new AnalystEvaluateCSV();
    eval.setScript(getScript());
    getAnalyst().setCurrentQuantTask(eval);
    eval.setReport(new AnalystReportBridge(getAnalyst()));
    eval.analyze(getAnalyst(), evalFile, headers, getProp()
        .getPropertyCSVFormat(
            ScriptProperties.SETUP_CONFIG_CSV_FORMAT));
    eval.process(outputFile, method);
    getAnalyst().setCurrentQuantTask(null);
    return eval.shouldStop();
  }

  /**
   * {@inheritDoc}
   */
  @Override
  public final String getName() {
    return CmdEvaluate.COMMAND_NAME;
  }

}
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