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Model Training

Traditionally when approaching the process of building, training, and productionizing models, one has been dependent on multiple, potentially varied datasets (due to variances between offline and online data, regulations around security, etc.). Before beginning to train a model, data must be transformed into a format that can be fed into a machine learning model. This process is referred to as feature engineering.

With Molecula, our automated feature extraction does the heavy lifting towards putting all of your data into a machine learning model-ready state.