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Created with Raphaël 2.2.010Jan874[Refactor] Erase logmainmain[Feat] Model auto-deploy based on updates[Feat] deploy and prod model, fix train model with mlflow, try to integrate pipelineMerge branch 'main' of https://gitlab.informatika.org/mikeleo03/customer-churn-prediction-pipeline[Fix] Aligning Spark preprocess code with pipeline[Feat] Model loading and done[Feat] anotate function call example[Feat] train, predict, eval, track model functionsMerge branch 'main' of https://gitlab.informatika.org/mikeleo03/customer-churn-prediction-pipeline[Feat] Integrate multiple model tracking experiment[Feat] Connect preprocess to airflow[Feat] Implementation of MLOps using MLFlowMerge branch 'main' of https://gitlab.informatika.org/mikeleo03/customer-churn-prediction-pipeline[Feat] Model Building (EDA - Evaluation)[Chore] delete unnecesarry file[Feat] data preprocessing code with Spark[Feat] trying train with mlflow trackingfeat: add dataset and spark base code[Feat] Pipeline placeholder[Init] Airflow setupInitial commit