TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning
Changes model loading to not require spark context and allows for local loading of spark wrapped stages into MLleap transformers rather than spark stages that are then converted to mleap for local scoring.
The final pr will fix the spark predictor wrapped stages to work with mleap loaded models.
Changes model loading to not require spark context and allows for local loading of spark wrapped stages into MLleap transformers rather than spark stages that are then converted to mleap for local scoring.
The final pr will fix the spark predictor wrapped stages to work with mleap loaded models.