The most advanced ML Observability product in the market
Building an ML platform is nothing like putting together Ikea furniture; obviously, Ikea is way more difficult. However, they both, similarly, include many different parts that help create value when put together. As every organization sets out on a unique path to building its own machine learning platform, taking on the project of building a […]
Start integrating our products and tools.
We’re excited 😁 to share that Forbes has named Aporia a Next Billion-Dollar Company. This recognition comes on the heels of our recent $25 million Series A funding and is a huge testament that Aporia’s mission and the need for trust in AI are more relevant than ever. We are very proud to be listed […]
Features don’t appear out of thin air – they are usually constructed using various transformations on raw data, that was either part of a data-set or received at runtime from a user.
We refer to that raw data as the raw_inputs of a model.
For example, your dataset might contain a column with state names – you will then have some preprocessing code convert that raw_input to a feature using one-hot encoding.
