noether.data.datasets.cfd.caeml.drivaerml.split¶

Classes¶

DrivAerMLDefaultSplitIDs

Default split IDs for DrivAerML dataset with validation.

Module Contents¶

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

Bases: noether.data.base.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: 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] = [4, 22, 56, 109, 150, 165, 177, 191, 228, 234, 241, 247, 252, 253, 260, 271, 275, 298, 303, 311,...¶

test: list[int] = [11, 12, 19, 20, 24, 26, 29, 41, 55, 59, 108, 124, 127, 133, 142, 158, 173, 180, 187, 188, 197,...¶

hidden_test: list[int] = [167, 211, 218, 221, 248, 282, 291, 295, 316, 325, 329, 364, 370, 376, 403, 473]¶

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