LogisticModel¶

class LogisticModel¶

Data class for the logistic model.

Examples

>>> from openturns.usecases import logistic_model as logistic_model
>>> # Load the logistic model
>>> lm = logistic_model.LogisticModel()

Attributes

y0Constant: Initial population (in 1790) y0=3.9e6
aConstant: Parameter of the model a=0.03134
bConstant: Parameter of the model b=1.5887e-10
distY0Normal distribution: ot.Normal(y0, 0.1 * y0)
distANormal distribution: ot.Normal(a, 0.3 * a)
distBNormal distribution: ot.Normal(b, 0.3 * b)
distXComposedDistribution: The joint distribution of the input parameters.
modelSymbolicFunction: The logistic model of growth.
dataSample: 22 dates from 1790 to 2000. First marginal represents dates and second marginal the population in millions.

__init__()¶: Initialize self. See help(type(self)) for accurate signature.

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