Package org.encog.app.analyst.util

Examples of org.encog.app.analyst.util.AnalystReportBridge

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    // prepare to normalize
    final AnalystClusterCSV cluster = new AnalystClusterCSV();
    cluster.setScript(getScript());
    getAnalyst().setCurrentQuantTask(cluster);
    cluster.setReport(new AnalystReportBridge(getAnalyst()));
    final boolean headers = getScript().expectInputHeaders(sourceID);
    cluster.analyze(getAnalyst(), sourceFile, headers, inputFormat);
    cluster.setOutputFormat(outputFormat);
    cluster.process(targetFile, clusters, getAnalyst(), DEFAULT_ITERATIONS);
    getAnalyst().setCurrentQuantTask(null);
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          + target.getFile() + ", Percent: "
          + Format.formatPercent(target.getPercent()));

    }

    seg.setReport(new AnalystReportBridge(getAnalyst()));
    seg.analyze(sourceFile, headers, inputFormat);
    seg.setOutputFormat(outputFormat);

    seg.process();
    getAnalyst().setCurrentQuantTask(null);
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    final boolean headers = getScript().expectInputHeaders(evalID);

    final AnalystEvaluateRawCSV eval = new AnalystEvaluateRawCSV();
    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);
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    // prepare to normalize
    final AnalystNormalizeCSV norm = new AnalystNormalizeCSV();
    norm.setScript(getScript());
    getAnalyst().setCurrentQuantTask(norm);
    norm.setReport(new AnalystReportBridge(getAnalyst()));

    final boolean headers = getScript().expectInputHeaders(sourceID);
    norm.analyze(sourceFile, headers, inputFormat, getAnalyst());
    norm.setOutputFormat(outputFormat);
    norm.setProduceOutputHeaders(true);
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    // prepare to normalize
    final ShuffleCSV norm = new ShuffleCSV();
    norm.setScript(getScript());
    getAnalyst().setCurrentQuantTask(norm);
    norm.setReport(new AnalystReportBridge(getAnalyst()));
    final boolean headers = getScript().expectInputHeaders(sourceID);
    norm.analyze(sourceFile, headers, inputFormat);
    norm.setOutputFormat(outputFormat);
    norm.process(targetFile);
    getAnalyst().setCurrentQuantTask(null);
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    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);
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    // prepare to normalize
    final BalanceCSV balance = new BalanceCSV();
    balance.setScript(getScript());
    getAnalyst().setCurrentQuantTask(balance);
    balance.setReport(new AnalystReportBridge(getAnalyst()));

    final boolean headers = getScript().expectInputHeaders(sourceID);
    balance.analyze(sourceFile, headers, inputFormat);
    balance.setOutputFormat(outputFormat);
    balance.setProduceOutputHeaders(true);
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    // prepare to normalize
    final AnalystNormalizeCSV norm = new AnalystNormalizeCSV();
    norm.setScript(getScript());
    getAnalyst().setCurrentQuantTask(norm);
    norm.setReport(new AnalystReportBridge(getAnalyst()));

    final boolean headers = getScript().expectInputHeaders(sourceID);
    norm.analyze(sourceFile, headers, format, getAnalyst());
    norm.setProduceOutputHeaders(true);
    norm.normalize(targetFile);
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    // prepare to normalize
    final ShuffleCSV norm = new ShuffleCSV();
    norm.setScript(getScript());
    getAnalyst().setCurrentQuantTask(norm);
    norm.setReport(new AnalystReportBridge(getAnalyst()));
    final boolean headers = getScript().expectInputHeaders(sourceID);
    norm.analyze(sourceFile, headers, format);
    norm.process(targetFile);
    getAnalyst().setCurrentQuantTask(null);
    return norm.shouldStop();
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    final boolean headers = true;

    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);
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Related Classes of org.encog.app.analyst.util.AnalystReportBridge

  • org.encog.app.analyst.commands.CmdBalance
  • org.encog.app.analyst.commands.CmdCluster
  • org.encog.app.analyst.commands.CmdEvaluate
  • org.encog.app.analyst.commands.CmdEvaluateRaw
  • org.encog.app.analyst.commands.CmdNormalize
  • org.encog.app.analyst.commands.CmdProcess
  • org.encog.app.analyst.commands.CmdRandomize
  • org.encog.app.analyst.commands.CmdSegregate
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