InstancesFromData
InstancesFromData is a concept often encountered in machine learning and data science, referring to the creation or extraction of specific, discrete examples or data points from a larger dataset or a continuous data stream. The term "instance" typically denotes a single observation or record within a dataset, characterized by a set of features and, often, a corresponding label or target value. The process of generating instances from data implies a transformation or selection mechanism that defines what constitutes a valid, usable instance for analysis or model training.
This can manifest in several ways. For example, in supervised learning, raw data might be preprocessed to