QuaPy/quapy/__init__.py

from . import error
from .data import datasets
from . import functional
from . import method
from . import data
from . import evaluation
from . import plot
from . import util
from . import model_selection
from method.aggregative import isaggregative, isprobabilistic


environ = {
    'SAMPLE_SIZE': None,
    'UNK_TOKEN': '[UNK]',
    'UNK_INDEX': 0,
    'PAD_TOKEN': '[PAD]',
    'PAD_INDEX': 1,
}


def isbinary(x):
    return x.binary
added Ensemble methods (methods ALL, ACC, Ptr, DS from Pérez-Gallego et al 2017 and 2019) and some UCI ML datasets used in those articles (only 5 datasets out of 32 they used) 2021-01-06 14:58:29 +01:00			`from . import error`
import fix 2021-01-15 17:47:55 +01:00			`from .data import datasets`
many aggregative methods added 2020-12-03 18:12:28 +01:00			`from . import functional`
			`from . import method`
added Ensemble methods (methods ALL, ACC, Ptr, DS from Pérez-Gallego et al 2017 and 2019) and some UCI ML datasets used in those articles (only 5 datasets out of 32 they used) 2021-01-06 14:58:29 +01:00			`from . import data`
evaluation by artificial prevalence sampling added. New methods added. New util functions added to quapy.functional and quapy.utils 2020-12-10 19:04:33 +01:00			`from . import evaluation`
plot functionality added 2021-01-07 17:58:48 +01:00			`from . import plot`
			`from . import util`
adding tweet sent quant experiments 2021-01-11 18:31:12 +01:00			`from . import model_selection`
QuaNet added, two examples of TextClassifiers added (CNN, LSTM) 2020-12-29 20:33:59 +01:00			`from method.aggregative import isaggregative, isprobabilistic`


			`environ = {`
			`'SAMPLE_SIZE': None,`
			`'UNK_TOKEN': '[UNK]',`
			`'UNK_INDEX': 0,`
			`'PAD_TOKEN': '[PAD]',`
			`'PAD_INDEX': 1,`
			`}`


			`def isbinary(x):`
setting a timeout for model_selection combinations in order to prevent some combinations to stuck the model selection 2021-01-15 17:42:19 +01:00			`return x.binary`