- Auto encoding for TPOT models to publish microservice functionality. - Minor fixes for TPOT usage in Run_Experiment.
2.3.2
Minor fixes for metric calculation of multiclass classification problems.
2.3.1
Minor fixes for load data functionality.
2.3.0
1. Integration of Tpot Auto_ml with AI Starter. 2. Minor fixes for clean data frame function. 3. Model explainability with Auto_ml.
2.2.1
Added below new features in this release:
- Added more visualization features to the raw data - Added log functionality for crucial steps - Included Metadata details for Mongo DB data insertion - The enhanced technique to handle missing values - Embed datasets in Library
2.0.7
Minor fixes to clean function and access data from pipeline function.