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 AttributeDataset
AttributeDataset. columns(java.lang.String... cols)
Returns a dataset with selected columns.AttributeDataset
AttributeDataset. head(int n)
returns the first few rows.AttributeDataset
AttributeDataset. range(int from, int to)
Returns the rows in the given range [from, to).AttributeDataset
AttributeDataset. remove(java.lang.String... cols)
Returns a new dataset without given columns.AttributeDataset
AttributeDataset. summary()
Returns statistic summary.AttributeDataset
AttributeDataset. 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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