tapas.datasets.utils.get_num_features

tapas.datasets.utils.get_num_features(meta_dict)

Infers dimension of encoded data based on data’s metadata dictionary. Continuous variables will require one dimension, whereas categorical and ordinal variables require one dimension per category.

Parameters

meta_dict (dict) – Metadata dictionary containing information about a dataset: type of each column, range of continuous variables, range of categories for cateogrical variables. Formatted as the output of read_meta(metadata) for a metadata object.

Returns

Number of dimensions inferred from metadata.

Return type

nfeatures (int)