![]() This post is mostly concerned with file formats for structured data and we will discuss how the Hopsworks Feature Store enables the easy creation of training data in popular file formats for ML, such as. ![]() ![]() However, even though files are used to store much of the world’s data, most of that data is not in a format that can be used directly to train ML models. We will also describe how a Feature Store can make the Data Scientist’s life easier by generating training/test data in a file format of choice on a file system of choice.Ī file format defines the structure and encoding of the data stored in it and it is typically identified by its file extension - for example, a filename ending in. This post is a guide to the popular file formats used in open source frameworks for machine learning in Python, including TensorFlow/Keras, PyTorch, Scikit-Learn, and PySpark. TLDR Most machine learning models are trained using data from files. Guide to File Formats for Machine Learning: Columnar, Training, Inferencing, and the Feature Store
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