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cerebral.features.create_datasets(data: DataFrame, targets: list[str], train: list | DataFrame =
[], test: list | DataFrame =[])[source] Separates the total data set of alloy compositions into training and test subsets.
- Parameters:¶
- data: DataFrame¶
The dataset of alloy compositions.
- targets: list[str]¶
The features to be modelled by the neural network.
- train: list | DataFrame =
[]¶ If provided, a preselected subset of data to be used for training.
- test: list | DataFrame =
[]¶ If provided, a preselected subset of data to be used for testing.
Last update:
Feb 09, 2023