Package tv.floe.metronome.linearregression

Examples of tv.floe.metronome.linearregression.ParallelOnlineLinearRegression

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          .getTargetCategories());
     
      // ----- this normally is generated from the POLRModelParams ------
     
     
      this.polr = new ParallelOnlineLinearRegression(
          this.FeatureVectorSize, new UniformPrior()).alpha(1).stepOffset(1000)
          .decayExponent(0.9).lambda(this.Lambda).learningRate(this.LearningRate);
     
      polr_modelparams.setPOLR(polr);
     
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    polr_modelparams.setTargetCategories(this.VectorFactory
        .getTargetCategories());

    // ----- this normally is generated from the POLRModelParams ------

    this.polr = new ParallelOnlineLinearRegression(
        this.FeatureVectorSize, new UniformPrior()).alpha(1)
        .stepOffset(1000).decayExponent(0.9).lambda(3.0e-5)
        .learningRate(this.LearningRate);

    polr_modelparams.setPOLR(polr);
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    polr_modelparams.setTargetCategories(this.VectorFactory
        .getTargetCategories());

    // ----- this normally is generated from the POLRModelParams ------

    this.polr = new ParallelOnlineLinearRegression(
        this.FeatureVectorSize, new UniformPrior()).alpha(1)
        .stepOffset(1000).decayExponent(0.9).lambda(3.0e-5)
        .learningRate(this.LearningRate);

    polr_modelparams.setPOLR(polr);
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Related Classes of tv.floe.metronome.linearregression.ParallelOnlineLinearRegression

  • org.apache.mahout.math.DenseMatrix
  • org.apache.mahout.math.DenseVector
  • tv.floe.metronome.linearregression.iterativereduce.MasterNode
  • tv.floe.metronome.linearregression.iterativereduce.MiniBatchWorkerNode
  • tv.floe.metronome.linearregression.iterativereduce.WorkerNode
  • java.io.IOException
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