Examples of org.encog.ml.MLOutput

org.encog.ml.MLOutput
Defines a MLMethod that produces output. Input is defined as a simple array of double values. Many machine learning methods, such as neural networks and support vector machines produce output this way, and thus implement this interface. Others, such as clustering, do not.

      report.tablePair("Input Count",
          Format.formatInteger(reg.getInputCount()));
    }


    if (method instanceof MLOutput) {
      MLOutput reg = (MLOutput) method;
      report.tablePair("Output Count",
          Format.formatInteger(reg.getOutputCount()));
    }


    if (method instanceof MLEncodable) {
      MLEncodable encode = (MLEncodable)method;
      report.tablePair("Encoded Length",

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Related Classes of org.encog.ml.MLOutput

org.encog.workbench.tabs.mlmethod.MLMethodTab

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