4. Machine learningΒΆ
Defines scaling method based on model configurations. |
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Defines model based on model configurations. |
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Splits and transforms the X-array (or sample data) and Y-array (or target data) in test-data and training-data. |
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Fits classifier based on training-data and makes predictions. |
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(Re)fits a classifier with all available data and pickles it. |
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Loads the paths to all previously fitted classifiers to a list. |