Class ColGroupFactory
- java.lang.Object
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- org.apache.sysds.runtime.compress.colgroup.ColGroupFactory
 
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 public class ColGroupFactory extends Object Factory class for constructing ColGroups.
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Method SummaryAll Methods Static Methods Concrete Methods Modifier and Type Method Description static List<AColGroup>compressColGroups(MatrixBlock in, CompressedSizeInfo csi, CompressionSettings cs, int k)The actual compression method, that handles the logic of compressing multiple columns together.static List<AColGroup>compressColGroups(MatrixBlock in, CompressedSizeInfo csi, CompressionSettings cs, ACostEstimate ce, int k)
 
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Method Detail- 
compressColGroupspublic static List<AColGroup> compressColGroups(MatrixBlock in, CompressedSizeInfo csi, CompressionSettings cs, int k) The actual compression method, that handles the logic of compressing multiple columns together.- Parameters:
- in- The input matrix, that could have been transposed. If it is transposed the compSettings should specify this.
- csi- The compression information extracted from the estimation, this contains which groups of columns to compress together.
- cs- The compression settings to specify how to compress.
- k- The degree of parallelism to be used in the compression of the column groups.
- Returns:
- A resulting array of ColGroups, containing the compressed information from the input matrix block.
 
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compressColGroupspublic static List<AColGroup> compressColGroups(MatrixBlock in, CompressedSizeInfo csi, CompressionSettings cs, ACostEstimate ce, int k) - Parameters:
- in- The input matrix, that could have been transposed. If it is transposed the compSettings should specify this.
- csi- The compression information extracted from the estimation, this contains which groups of columns to compress together.
- cs- The compression settings to specify how to compress.
- ce- The cost estimator used for the compression
- k- The degree of parallelism to be used in the compression of the column groups.
- Returns:
- A resulting array of ColGroups, containing the compressed information from the input matrix block.
 
 
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