Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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30 lines
1.1 KiB
30 lines
1.1 KiB
from numpy import add_newdoc
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add_newdoc('scipy.odr', 'odr',
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"""
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odr(fcn, beta0, y, x, we=None, wd=None, fjacb=None, fjacd=None, extra_args=None, ifixx=None, ifixb=None, job=0, iprint=0, errfile=None, rptfile=None, ndigit=0, taufac=0.0, sstol=-1.0, partol=-1.0, maxit=-1, stpb=None, stpd=None, sclb=None, scld=None, work=None, iwork=None, full_output=0)
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Low-level function for ODR.
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See Also
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--------
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ODR : The ODR class gathers all information and coordinates the running of the main fitting routine.
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Model : The Model class stores information about the function you wish to fit.
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Data : The data to fit.
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RealData : Data with weights as actual std. dev.s and/or covariances.
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Notes
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-----
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This is a function performing the same operation as the `ODR`,
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`Model`, and `Data` classes together. The parameters of this
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function are explained in the class documentation.
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""")
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add_newdoc('scipy.odr.__odrpack', '_set_exceptions',
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"""
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_set_exceptions(odr_error, odr_stop)
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Internal function: set exception classes.
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""")
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