noether.data.datasets.cfd.caeml.ahmedml

Submodules

Classes

AhmedMLDataset

Dataset implementation for AhmedML CFD simulations.

AhmedMLDefaultSplitIDs

Default split IDs for AhmedML dataset with validation.

Package Contents

class noether.data.datasets.cfd.caeml.ahmedml.AhmedMLDataset(dataset_config)

Bases: noether.data.datasets.cfd.caeml.dataset.CAEMLDataset

Dataset implementation for AhmedML CFD simulations.

Parameters:

dataset_config (noether.data.base.dataset.StandardDatasetConfig) – Configuration for the dataset.

Initialize the AhmedML dataset.

Parameters:

dataset_config (noether.data.base.dataset.StandardDatasetConfig) – Configuration for the dataset.

STATS_FILE: str = ''
property get_dataset_splits: noether.data.base.dataset.DatasetSplitIDs
Return type:

noether.data.base.dataset.DatasetSplitIDs

class noether.data.datasets.cfd.caeml.ahmedml.AhmedMLDefaultSplitIDs(/, **data)

Bases: noether.data.base.dataset.DatasetSplitIDs

Default split IDs for AhmedML dataset with validation.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Parameters:

data (Any)

EXPECTED_TRAIN_SIZE = 400
EXPECTED_VAL_SIZE = 50
EXPECTED_TEST_SIZE = 50
DATASET_NAME = 'AhmedML'
train: list[int] = [1, 2, 3, 5, 6, 7, 8, 9, 10, 13, 14, 15, 16, 17, 18, 21, 23, 25, 27, 28, 30, 31, 32, 33, 34, 35,...
val: list[int] = [24, 26, 29, 38, 41, 55, 59, 104, 108, 124, 133, 142, 158, 173, 180, 188, 196, 197, 199, 205,...
test: list[int] = [4, 11, 12, 19, 20, 22, 56, 109, 127, 150, 165, 177, 187, 191, 203, 208, 215, 228, 234, 241,...
static create_split()

A helper function to create a random split of the dataset. The default indices were created with seed=42.