from . import error from . import data from quapy.data import datasets from . import functional from . import method from . import evaluation from . import plot from . import util from . import model_selection from . import classification from quapy.method.base import isprobabilistic, isaggregative environ = { 'SAMPLE_SIZE': None, 'UNK_TOKEN': '[UNK]', 'UNK_INDEX': 0, 'PAD_TOKEN': '[PAD]', 'PAD_INDEX': 1, } def isbinary(x): return x.binary