biomedical_data_generator.DatasetMeta

class biomedical_data_generator.DatasetMeta(feature_names, informative_idx, pseudo_idx, noise_idx, corr_cluster_indices, anchor_idx, anchor_role, anchor_effect_size, anchor_target_cls, cluster_label, y_weights, y_counts, n_classes, class_sep, corr_between, anchor_strength=1.0, anchor_mode='equalized', spread_non_anchors=True, random_state=None, resolved_config=<factory>)

Bases: object

Metadata about the generated dataset.

Parameters:

• feature_names (list[str])

• informative_idx (list[int])

• pseudo_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_target_cls (dict[int, int | None])

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

• y_weights (tuple[float, ...])

• y_counts (dict[int, int])

• n_classes (int)

• class_sep (float)

• corr_between (float)

• anchor_strength (float)

• anchor_mode (Literal['equalized', 'strong'])

• spread_non_anchors (bool)

• random_state (int | None)

• resolved_config (dict[str, object])

__init__(feature_names, informative_idx, pseudo_idx, noise_idx, corr_cluster_indices, anchor_idx, anchor_role, anchor_effect_size, anchor_target_cls, cluster_label, y_weights, y_counts, n_classes, class_sep, corr_between, anchor_strength=1.0, anchor_mode='equalized', spread_non_anchors=True, random_state=None, resolved_config=<factory>)

Parameters:

• feature_names (list[str])

• informative_idx (list[int])

• pseudo_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_target_cls (dict[int, int | None])

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

• y_weights (tuple[float, ...])

• y_counts (dict[int, int])

• n_classes (int)

• class_sep (float)

• corr_between (float)

• anchor_strength (float)

• anchor_mode (Literal['equalized', 'strong'])

• spread_non_anchors (bool)

• random_state (int | None)

• resolved_config (dict[str, object])

Return type:

None

Methods

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

Attributes

anchor_mode
anchor_strength
random_state
spread_non_anchors
feature_names
informative_idx
pseudo_idx
noise_idx
corr_cluster_indices
anchor_idx
anchor_role
anchor_effect_size
anchor_target_cls
cluster_label
y_weights
y_counts
n_classes
class_sep
corr_between
resolved_config

to_dict()

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

Return type:

dict[str, object]