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hhbyyh committed Jun 5, 2016
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# SparseSpark
# SparseML

Yuhao Yang (yuhao.yang@intel.com)
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Expand All @@ -22,15 +22,12 @@ in the context of sparse data support on Spark MLlib.
## Usage:
The class/function signature remains the same as in Spark MLlib. Please refer to the examples folder

## Benchmark

Thought the concrete performance improvements depends on the sparsity of the dataset. The algorithms
## Performance:
Although the concrete performance improvements depends on the sparsity of the dataset. The algorithms
in SparseSpark generally significantly reduce the time and memory consumption compared with the original
Spark implementation.
Some examples:



## Accuracy
The optimization does not affect the accuracy. It yields the same result with the original Spark version,
yet with much less resources.
The optimization does not affect the accuracy. It yields the same result with the Spark version,
yet with less computation resources.

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