Uses of Class
smile.data.AttributeDataset
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Packages that use AttributeDataset Package Description smile.data smile.regression -
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Uses of AttributeDataset in smile.data
Methods in smile.data that return AttributeDataset Modifier and Type Method Description AttributeDatasetAttributeDataset. columns(java.lang.String... cols)Returns a dataset with selected columns.AttributeDatasetAttributeDataset. head(int n)returns the first few rows.AttributeDatasetAttributeDataset. range(int from, int to)Returns the rows in the given range [from, to).AttributeDatasetAttributeDataset. remove(java.lang.String... cols)Returns a new dataset without given columns.AttributeDatasetAttributeDataset. summary()Returns statistic summary.AttributeDatasetAttributeDataset. tail(int n)Returns the last few rows. -
Uses of AttributeDataset in smile.regression
Constructors in smile.regression with parameters of type AttributeDataset Constructor Description RandomForest(AttributeDataset data, int ntrees)Constructor.RandomForest(AttributeDataset data, int ntrees, int maxNodes)Constructor.RandomForest(AttributeDataset data, int ntrees, int maxNodes, int nodeSize)Constructor.RandomForest(AttributeDataset data, int ntrees, int maxNodes, int nodeSize, int mtry, double subsample, double[] monotonicRegression)Constructor.RegressionTree(AttributeDataset data, int maxNodes)Constructor.RegressionTree(AttributeDataset data, int maxNodes, int nodeSize)Constructor.RegressionTree(AttributeDataset data, int maxNodes, int nodeSize, int mtry, int[][] order, int[] samples, RegressionTree.NodeOutput output)Constructor.RegressionTree(AttributeDataset data, int maxNodes, int nodeSize, int mtry, int[][] order, int[] samples, RegressionTree.NodeOutput output, double[] monotonicRegression)
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