regression

  1. GenerativeForecast

    Forecast the next N steps in your timeseries with Machine Learning.

    TimeSeries
  2. BayesianLogisticRegression

    This is the BayesianLogisticRegression classifier, as implemented in Weka: http://weka.sourceforge.net/doc.stable/weka/classifiers/bayes/BayesianLogisticRegression.html

    weka
  3. SMOreg

    This is the SMOreg classifier, as implemented in Weka: http://weka.sourceforge.net/doc.stable/weka/classifiers/functions/SMOreg.html

    weka
  4. Stacking

    This is the Stacking classifier, as implemented in Weka: http://weka.sourceforge.net/doc.stable/weka/classifiers/meta/Stacking.html

    weka
  5. DecisionStump

    This is the DecisionStump classifier, as implemented in Weka: http://weka.sourceforge.net/doc.stable/weka/classifiers/trees/DecisionStump.html

    weka
Rows per page: 1-5 of 6
  1. GenerativeForecast

    Forecast the next N steps in your timeseries with Machine Learning.

    TimeSeries
  2. BayesianLogisticRegression

    This is the BayesianLogisticRegression classifier, as implemented in Weka: http://weka.sourceforge.net/doc.stable/weka/classifiers/bayes/BayesianLogisticRegression.html

    weka
  3. SMOreg

    This is the SMOreg classifier, as implemented in Weka: http://weka.sourceforge.net/doc.stable/weka/classifiers/functions/SMOreg.html

    weka
  4. SimpleCart

    This is the SimpleCart classifier, as implemented in Weka: http://weka.sourceforge.net/doc.stable/weka/classifiers/trees/SimpleCart.html

    weka
  5. Stacking

    This is the Stacking classifier, as implemented in Weka: http://weka.sourceforge.net/doc.stable/weka/classifiers/meta/Stacking.html

    weka
Rows per page: 1-5 of 6
  1. GenerativeForecast

    Forecast the next N steps in your timeseries with Machine Learning.

    TimeSeries
  2. SimpleCart

    This is the SimpleCart classifier, as implemented in Weka: http://weka.sourceforge.net/doc.stable/weka/classifiers/trees/SimpleCart.html

    weka
  3. DecisionStump

    This is the DecisionStump classifier, as implemented in Weka: http://weka.sourceforge.net/doc.stable/weka/classifiers/trees/DecisionStump.html

    weka
  4. Stacking

    This is the Stacking classifier, as implemented in Weka: http://weka.sourceforge.net/doc.stable/weka/classifiers/meta/Stacking.html

    weka
  5. SMOreg

    This is the SMOreg classifier, as implemented in Weka: http://weka.sourceforge.net/doc.stable/weka/classifiers/functions/SMOreg.html

    weka
Rows per page: 1-5 of 6