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Create competitive
ML solutions in days. Not months.
Modern businesses rely on relational data structures. Think of it as the digital backbone of any industry. Unfortunately, preparing relational data for machine learning requires massive amounts of manual work. getML automates that.
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Real-world data is stored in relational databases.
In a relational database, the relevant information for your prediction models is spread across multiple tables. This general, non-flat data structure applies to any domain or industry.
But relational data is not compatible with ML.
Every state-of-the-art ML algorithm requires its inputs to adhere to a very specific format: A single, flat table. Prediction-relevant information in a relational database can span multiple tables and does not fulfuill this requirement.
