Created
November 15, 2020 20:53
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Machine Learning in a Nutshell
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| // Select the model to use and its hyperparameters | |
| model = new Model(hyperparameters) | |
| // Split available data into train and test datasets | |
| x_train, y_train, x_test, y_test = split_data(x, y) | |
| // Perform training | |
| model.fit(x_train, y_train) | |
| // Compute model performance over test dataset | |
| model.compute_accuracy(x_test, y_test) | |
| // Use model to predict new data | |
| y = model.predict(x) |
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