noether.data.datasets.cfd.caeml¶

Submodules¶

Attributes¶

CAEML_FILEMAP

Classes¶

`AhmedMLDataset`	Dataset implementation for AhmedML CFD simulations.
`AhmedMLDefaultSplitIDs`	Default split IDs for AhmedML dataset with validation.
`DrivAerMLDataset`	Dataset implementation for DrivaerML CFD simulations.
`DrivAerMLDefaultSplitIDs`	Default split IDs for DrivAerML dataset with validation.

Package Contents¶

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

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

Dataset implementation for AhmedML CFD simulations.

Parameters:: dataset_config (noether.core.schemas.dataset.DatasetBaseConfig) – Configuration for the dataset.

Initialize the AhmedML dataset.

Parameters:: dataset_config (noether.core.schemas.dataset.DatasetBaseConfig) – Configuration for the dataset.

property get_dataset_splits: noether.core.schemas.dataset.DatasetSplitIDs¶

Return type:: noether.core.schemas.dataset.DatasetSplitIDs

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

Bases: noether.core.schemas.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: set[int]¶

val: set[int]¶

test: set[int]¶

static create_split()¶: A helper function to create a random split of the dataset. The default indices were created with seed=42.

class noether.data.datasets.cfd.caeml.DrivAerMLDataset(dataset_config)¶

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

Dataset implementation for DrivaerML CFD simulations.

Parameters:: dataset_config (noether.core.schemas.dataset.DatasetBaseConfig) – Configuration for the dataset.

Initialize the DrivaerML dataset.

Parameters:: dataset_config (noether.core.schemas.dataset.DatasetBaseConfig) – Configuration for the dataset.

property get_dataset_splits: noether.core.schemas.dataset.DatasetSplitIDs¶

Return type:: noether.core.schemas.dataset.DatasetSplitIDs

class noether.data.datasets.cfd.caeml.DrivAerMLDefaultSplitIDs(/, **data)¶

Bases: noether.core.schemas.dataset.DatasetSplitIDs

Default split IDs for DrivAerML 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 = 34¶

EXPECTED_TEST_SIZE = 50¶

EXPECTED_HIDDEN_TEST_SIZE = 16¶

DATASET_NAME = 'DrivAerML'¶

train: set[int]¶

val: set[int]¶

test: set[int]¶

hidden_test: set[int]¶

static create_split()¶: A helper function to create a random split of the dataset. The default indices were created with seed=42.

noether.data.datasets.cfd.caeml.CAEML_FILEMAP¶