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Training, validation, and test sets - Wikipedia


In machine learning, a common task is the study and construction of algorithms that can learn from and make predictions on data. Such algorithms work by making data-driven predictions or decisions...

DataOperationsCatalog.TrainTestSplit(IDataView...) | Microsoft Docs


public Microsoft.ML.DataOperationsCatalog.TrainTestData TrainTestSplit (Microsoft.ML.IDataView data, double testFraction = 0.1, string samplingKeyColumnName = null, Nullable<int> seed = null)

Training and Test Sets: Splitting Data | Machine Learning Crash Course


Key ML Terminology. Check Your Understanding. Descending into ML (20 min).

Работа в LaTeX. Создание документа на примере подготовки...


Аналогично можно использовать и высоту текста \textheight. В примере присутствует и элемент программирования. С помощью команды \newlength{\ML} была определена переменная длина...

Training ML Models - Amazon Machine Learning


The term ML model refers to the model artifact that is created by the training process. The training data must contain the correct answer, which is known as a target or target attribute.

Learn Standard ML in Y Minutes


Standard ML is a functional programming language with type inference and some side-effects.



TestNG is a testing framework designed to simplify a broad range of testing needs, from unit testing (testing a class in isolation of the others) to integration testing (testing entire systems made of several...

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