hyperparameter optimization

  1. Bayesian Optimization

    This algorithm performs Bayesian optimization to automatically set the hyperparameters of a machine learning algorithm for good performance on a training dataset (as measured by pe...

    mheimann
  2. XMeansClusterer

    Uses XMeans clusterer, as implemented in Weka: http://weka.sourceforge.net/doc.stable/weka/clusterers/XMeans.html

    weka
  3. IBk

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

    weka
  4. CVParameterSelection

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

    weka
  5. GridSearch

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

    weka
Rows per page: 1-5 of 6
  1. Bayesian Optimization

    This algorithm performs Bayesian optimization to automatically set the hyperparameters of a machine learning algorithm for good performance on a training dataset (as measured by pe...

    mheimann
  2. XMeansClusterer

    Uses XMeans clusterer, as implemented in Weka: http://weka.sourceforge.net/doc.stable/weka/clusterers/XMeans.html

    weka
  3. IBk

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

    weka
  4. GridSearch

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

    weka
  5. MultiScheme

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

    weka
Rows per page: 1-5 of 6
  1. Bayesian Optimization

    This algorithm performs Bayesian optimization to automatically set the hyperparameters of a machine learning algorithm for good performance on a training dataset (as measured by pe...

    mheimann
  2. XMeansClusterer

    Uses XMeans clusterer, as implemented in Weka: http://weka.sourceforge.net/doc.stable/weka/clusterers/XMeans.html

    weka
  3. MultiScheme

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

    weka
  4. GridSearch

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

    weka
  5. CVParameterSelection

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

    weka
Rows per page: 1-5 of 6