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platform

ETL modules to access mysql database

There are three parts to start:

  1. connection: using pyodbc to access mysql database

  2. metric: collecting the features for model building

  3. constraint: training model and optimizing for threshold

Phase 1 is finished. Milestone:

Current system could be running automatically to calculate metrics and find the constraints for time-series data/metrics.

Phase 2:

Generic Connectors -- MySQL, PIG/HIVE, Spark? Generic data formats -- scalar, key-value pair, tree library installation -- R/Python data format re-wrapper for smoother programming More models -- descision tree, gradient boosting, ANOVA and more

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