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I am trying to summarize the milestones as follows. @sql-machine-learning/sqlflow team please comment.
Engineering time: 6 fulltime months could mean 3 people spend 2 months full time working on the project.
| Release | ETA | Features | Engineering Time |
|---|---|---|---|
| Alpha | 04/20 | 10+ fulltime months | |
| 05/20 | 1+ fulltime months | ||
| 05/20 | 3+ fulltime months | ||
| 06/20 | 3+ fulltime months | ||
| 0.1.0 | 07/01 | Hive: local training & prediction | 2+ fulltime months |
| 07/20 | Support distributed training & prediction | 3+ fulltime months | |
| 0.2.0 | 08/01 | MaxCompute: local training & predicting | 3+ fulltime months |
| 0.3.0 | 10/15 | Elastic scheduling training & prediction | 3+ fulltime months |
| 0.4.0 | 11/20 | SQLFlow cloud release on AliCloud | 2+ fulltime months |
| ? | Support third party submitter | ||
| ? | Support GPU or TensorFlow-GPU | ||
| ? | ML on image/audio/video | ||
| ? | Calcite parser | ||
| ? | Open source gosparksql | ||
| ? | SparkSQL as data source: local training & predicting | ||
| ? | SQL Server as data source: local training & predicting |
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