tapas.datasets.utils

Functions

encode_data(dataset[, infer_ranges])	Convert raw data to an np.ndarray with continuous features normalised and categorical features one-hot encoded.
get_dtype(col_type, col_repr)	Return the pandas type of a column based on the json schema for the dataset.
get_num_features(meta_dict)	Infers dimension of encoded data based on data's metadata dictionary.
index_split(max_index, split_size, num_splits)	Generate training indices without replacement.
one_hot(col_data, categories)