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AutoML

➡️ Pipeline Grid​

All models are implemented directly on top of the library’s Matrix and Vector primitives.

Models can be combined with:

  • Scalers (e.g. StandardScaler)
  • Feature selectors (e.g. SelectKBest)
  • Cross-validation strategies
  • Hyperparameter search grids
var pipelineGrid = new PipelineGrid()
    .AddModel<RandomForest>(g => g
        .Add("NumTrees", 50, 100, 200)
        .Add("MaxDepth", 5, 8, 10))
    .AddModel<Logistic>(g => g
        .Add("LearningRate", 0.05, 0.1)
        .Add("MaxIterations", 1000, 2000)
        .AddScaler<StandardScaler>(s => { })
        .AddSelector<SelectKBest>(s => s
           .Add("K", 1, 2)))
    .AddModel<DecisionTree>(g => g
        .Add("MaxDepth", 3, 5, 8))
    .AddModel<KNearestNeighbors>(g => g
        .Add("K", 3, 5, 7));