| commit | ef6dffd56ae6534872a1bf0cf9e5f2d3cade3b9a | [log] [tgz] |
|---|---|---|
| author | AlexanderSaydakov <AlexanderSaydakov@users.noreply.github.com> | Tue Mar 17 18:29:20 2020 -0700 |
| committer | AlexanderSaydakov <AlexanderSaydakov@users.noreply.github.com> | Tue Mar 17 18:29:20 2020 -0700 |
| tree | 3278c3b54559a3f876b3a2c2cb89884080fc21a6 | |
| parent | 5789d9a62d6c9be1d569095da406af0f7cb3a6b9 [diff] |
frequent items c++ example
Apache DataSketches is an open source, high-performance library of stochastic streaming algorithms commonly called “sketches” in the data sciences. Sketches are small, stateful programs that process massive data as a stream and provide approximate answers, with mathematical guarantees, to computationally difficult queries orders-of-magnitude faster than traditional, exact methods.
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If you were a user of our library from our previous GitHub Site please refer to this Transitioning page.
Disclaimer: Apache DataSketches is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF.