Пример — это одно наблюдение, используемое системой машинного обучения, обычно представленное как одна строка или instance с одним или несколькими признаками. В supervised learning пример может включать метку для обучения; при inference он может содержать только входные признаки.
The values of one row of features and possibly a label. Examples in supervised learning fall into two general categories: - A labeled example consists of one or more features and a label. Labeled examples are used during training. - An unlabeled example consists of one or more features but no label. Unlabeled examples are used during inference. For instance, suppose you are training a model to determine the influence of weather conditions on student test scores. Here are three labeled examples: Label | Humidity Test score | ------| 47 Good | 34 Excellent | 92 Poor | Here are three unlabeled examples: Humidity | ------| 62 | 47 | 41 | The row of a dataset is typically the raw source for an example. That is, an example typically consists of a subset of the columns in the dataset. Furthermore, the features in an example can also include synthetic features, such as feature crosses. See Supervised Learning in the Introduction to Machine Learning course for more information.