51 lines
1.3 KiB
Python
51 lines
1.3 KiB
Python
"""QuaPy module for quantification"""
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from quapy.data import datasets
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from . import error
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from . import data
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from . import functional
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# from . import method
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from . import evaluation
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from . import protocol
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from . import plot
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from . import util
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from . import model_selection
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from . import classification
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__version__ = '0.1.7'
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environ = {
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'SAMPLE_SIZE': None,
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'UNK_TOKEN': '[UNK]',
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'UNK_INDEX': 0,
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'PAD_TOKEN': '[PAD]',
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'PAD_INDEX': 1,
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'SVMPERF_HOME': './svm_perf_quantification',
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'N_JOBS': 1
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}
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def _get_njobs(n_jobs):
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"""
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If `n_jobs` is None, then it returns `environ['N_JOBS']`;
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if otherwise, returns `n_jobs`.
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:param n_jobs: the number of `n_jobs` or None if not specified
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:return: int
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"""
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return environ['N_JOBS'] if n_jobs is None else n_jobs
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def _get_sample_size(sample_size):
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"""
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If `sample_size` is None, then it returns `environ['SAMPLE_SIZE']`;
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if otherwise, returns `sample_size`.
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If none of these are set, then a ValueError exception is raised.
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:param sample_size: integer or None
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:return: int
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"""
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sample_size = environ['SAMPLE_SIZE'] if sample_size is None else sample_size
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if sample_size is None:
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raise ValueError('neither sample_size nor qp.environ["SAMPLE_SIZE"] have been specified')
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return sample_size
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