dlpy.model.DataSpecNumNomOpts¶
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class
dlpy.model.DataSpecNumNomOpts(length, token_size=0)¶ Bases: dlpy.utils.DLPyDict
Data spec numeric nominal parameters.
Parameters: - length : string, optional
Specifies the variable / column that contains the length of the data spec input.
- token_size : int, optional
If positive, data is treated as sequence, else non-sequence
Returns: -
__init__(length, token_size=0)¶ Initialize self. See help(type(self)) for accurate signature.
Methods
__init__(length[, token_size]) Initialize self. clear() get(k[,d]) items() keys() pop(k[,d]) If key is not found, d is returned if given, otherwise KeyError is raised. popitem() as a 2-tuple; but raise KeyError if D is empty. setdefault(k[,d]) update([E, ]**F) If E present and has a .keys() method, does: for k in E: D[k] = E[k] If E present and lacks .keys() method, does: for (k, v) in E: D[k] = v In either case, this is followed by: for k, v in F.items(): D[k] = v values()