biomedical_data_generator.meta.DatasetMeta

class biomedical_data_generator.meta.DatasetMeta(feature_names, informative_idx, noise_idx, corr_cluster_indices, anchor_idx, anchor_role, anchor_effect_size, anchor_class, cluster_label, n_classes, class_names, samples_per_class, class_sep, corr_between, batch_labels=None, batch_effects=None, batch_config=None, random_state=None, resolved_config=<factory>)

Bases: object

Metadata about the generated dataset.

This captures the resolved ground-truth structure of the dataset (feature roles, cluster layout, anchor properties) plus a snapshot of the generator configuration.

Parameters:

• feature_names (list[str])

• informative_idx (list[int])

• noise_idx (list[int])

• corr_cluster_indices (dict[int, list[int]])

• anchor_idx (dict[int, int | None])

• anchor_role (dict[int, str])

• anchor_effect_size (dict[int, float])

• anchor_class (dict[int, int | None])

• cluster_label (dict[int, str | None])

• n_classes (int)

• class_names (list[str])

• samples_per_class (dict[int, int])

• class_sep (list[float])

• corr_between (float)

• batch_labels (ndarray | None)

• batch_effects (ndarray | None)

• batch_config (dict[str, object] | None)

• random_state (int | None)

• resolved_config (dict[str, object])

__init__(feature_names, informative_idx, noise_idx, corr_cluster_indices, anchor_idx, anchor_role, anchor_effect_size, anchor_class, cluster_label, n_classes, class_names, samples_per_class, class_sep, corr_between, batch_labels=None, batch_effects=None, batch_config=None, random_state=None, resolved_config=<factory>)

Parameters:

• feature_names (list[str])

• informative_idx (list[int])

• noise_idx (list[int])

• corr_cluster_indices (dict[int, list[int]])

• anchor_idx (dict[int, int | None])

• anchor_role (dict[int, str])

• anchor_effect_size (dict[int, float])

• anchor_class (dict[int, int | None])

• cluster_label (dict[int, str | None])

• n_classes (int)

• class_names (list[str])

• samples_per_class (dict[int, int])

• class_sep (list[float])

• corr_between (float)

• batch_labels (ndarray | None)

• batch_effects (ndarray | None)

• batch_config (dict[str, object] | None)

• random_state (int | None)

• resolved_config (dict[str, object])

Return type:

None

Methods

__init__(feature_names, informative_idx, ...)
to_dict()	Convert to a plain dictionary (e.g., for JSON serialization).

Attributes

batch_config
batch_effects
batch_labels
random_state
feature_names
informative_idx
noise_idx
corr_cluster_indices
anchor_idx
anchor_role
anchor_effect_size
anchor_class
cluster_label
n_classes
class_names
samples_per_class
class_sep
corr_between
resolved_config

to_dict()

Convert to a plain dictionary (e.g., for JSON serialization).

Return type:

dict[str, object]