Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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"""
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A sub-package for efficiently dealing with polynomials.
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Within the documentation for this sub-package, a "finite power series,"
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i.e., a polynomial (also referred to simply as a "series") is represented
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by a 1-D numpy array of the polynomial's coefficients, ordered from lowest
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order term to highest. For example, array([1,2,3]) represents
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``P_0 + 2*P_1 + 3*P_2``, where P_n is the n-th order basis polynomial
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applicable to the specific module in question, e.g., `polynomial` (which
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"wraps" the "standard" basis) or `chebyshev`. For optimal performance,
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all operations on polynomials, including evaluation at an argument, are
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implemented as operations on the coefficients. Additional (module-specific)
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information can be found in the docstring for the module of interest.
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"""
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from .polynomial import Polynomial
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from .chebyshev import Chebyshev
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from .legendre import Legendre
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from .hermite import Hermite
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from .hermite_e import HermiteE
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from .laguerre import Laguerre
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from numpy._pytesttester import PytestTester
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test = PytestTester(__name__)
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del PytestTester
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