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Utility Functions

MeshGraphNets.der_minmax — Function
der_minmax(path)

Calculates the minimum and maximum derivative for each target feature in the given dataset.

Arguments

  • path: Path to the dataset files.

Returns

  • Minimum and maximum derivative in training, validation and test set.
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der_minmax(path, is_training)

Calculates the minimum and maximum derivative for each target feature in the given part of the dataset.

Arguments

  • path: Path to the dataset files.
  • is_training: Determines for which dataset the calculation should be done. True for train and validation set, false for test set.

Returns

  • Minimum and maximum derivative in the specified part of the dataset.
source
MeshGraphNets.data_meanstd — Function
data_meanstd(path)

Calculates the mean and standard deviation for each feature in the given dataset.

Arguments

  • path: Path to the dataset files.

Returns

  • Mean and standard deviation in training, validation and test set.
source
data_meanstd(path, is_training)

Calculates the mean and standard deviation for each feature in the given part of the dataset.

Arguments

  • path: Path to the dataset files.
  • is_training: Determines for which dataset the calculation should be done. True for train and validation set, false for test set.

Returns

  • Mean and standard deviation in the specified part of the dataset.
source