Added missing doc

It covers the Multinomial, NonCentralChiSquare and P1LagrangeEvaluation classes.

python/src/Multinomial_doc.i.in

@@ -66,6 +66,16 @@ N : int
 
 // ---------------------------------------------------------------------
 
+%feature("docstring") OT::Multinomial::setN
+"Accessor to the number of experiments parameter :math:`N`.
+
+Parameters
+----------
+N : int, :math:`\sum_{i = 1}^n x_i \leq N`
+    Number of experiments :math:`N`."
+
+// ---------------------------------------------------------------------
+
 %feature("docstring") OT::Multinomial::getP
 "Accessor to the component probabilities parameter :math:`\vect{p}`.
 
@@ -76,20 +86,78 @@ P : :class:`~openturns.Point`
 
 // ---------------------------------------------------------------------
 
-%feature("docstring") OT::Multinomial::setN
-"Accessor to the number of experiments parameter :math:`N`.
+%feature("docstring") OT::Multinomial::setP
+"Accessor to the component probabilities parameter :math:`\vect{p}`.
 
 Parameters
 ----------
-N : int, :math:`\sum_{i = 1}^n x_i \leq N`
-    Number of experiments :math:`N`."
+P : sequence of float, :math:`0 \leq p_i, i = 1, \ldots, n` and :math:`\sum_{i = 1}^n p_i \leq 1`
+    Component probabilities (all positive with sum less than unity)."
 
 // ---------------------------------------------------------------------
 
-%feature("docstring") OT::Multinomial::setP
-"Accessor to the component probabilities parameter :math:`\vect{p}`.
+%feature("docstring") OT::Multinomial::getEta
+"Accessor to the maximum absolute error in CDF computation.
+
+Returns
+-------
+eta : float
+    The maximum absolute error in the Poisson summation-based CDF computation."
+
+// ---------------------------------------------------------------------
+
+%feature("docstring") OT::Multinomial::setEta
+"Accessor to the maximum absolute error in CDF computation.
 
 Parameters
 ----------
-P : sequence of float, :math:`0 \leq p_i, i = 1, \ldots, n` and :math:`\sum_{i = 1}^n p_i \leq 1`
-    Component probabilities (all positive with sum less than unity)."
+eta : float
+    The maximum absolute error in the Poisson summation-based CDF computation."
+
+// ---------------------------------------------------------------------
+
+%feature("docstring") OT::Multinomial::getEta
+"Accessor to the maximum absolute error in CDF computation.
+
+Returns
+-------
+eta : float
+    The maximum absolute error in the Poisson summation-based CDF computation."
+
+// ---------------------------------------------------------------------
+
+%feature("docstring") OT::Multinomial::setEta
+"Accessor to the maximum absolute error in CDF computation.
+
+Parameters
+----------
+eta : float
+    The maximum absolute error in the Poisson summation-based CDF computation."
+
+// ---------------------------------------------------------------------
+
+%feature("docstring") OT::Multinomial::getSmallA
+"Accessor to the threshold in generating function computation.
+
+Returns
+-------
+smallA : float
+    The threshold triggering the algorithm for the computation of the generating
+    function of a truncated Poisson distribution. If the argument of the
+    generating function is smaller than *smallA* the computation is done using
+    the polynomial form of the generating function, otherwise it is done as a
+    correction of the generating function of the untruncated Poisson distribution."
+
+// ---------------------------------------------------------------------
+
+%feature("docstring") OT::Multinomial::setSmallA
+"Accessor to the threshold in generating function computation.
+
+Parameters
+----------
+smallA : float
+    The threshold triggering the algorithm for the computation of the generating
+    function of a truncated Poisson distribution. If the argument of the
+    generating function is smaller than *smallA* the computation is done using
+    the polynomial form of the generating function, otherwise it is done as a
+    correction of the generating function of the untruncated Poisson distribution."

python/src/NonCentralChiSquare_doc.i.in

@@ -97,3 +97,25 @@ nu : float, :math:`\nu > 0`
     Generalised number degrees of freedom :math:`\nu`.
 lambda : float
     Non-centrality parameter :math:`\lambda`."
+
+// ---------------------------------------------------------------------
+
+%feature("docstring") OT::NonCentralChiSquare::getMaximumIteration
+"Accessor to the maximum iteration number for PDF and CDF computation.
+
+Returns
+-------
+maximumIteration : int
+    Maximum iteration number for :class:`~openturns.DistFunc.dNonCentralChiSquare` and
+    :class:`~openturns.DistFunc.pNonCentralChiSquare`."
+
+// ---------------------------------------------------------------------
+
+%feature("docstring") OT::NonCentralChiSquare::setMaximumIteration
+"Accessor to the maximum iteration number for PDF and CDF computation.
+
+Parameters
+----------
+maximumIteration : int
+    Maximum iteration number for :class:`~openturns.DistFunc.dNonCentralChiSquare` and
+    :class:`~openturns.DistFunc.pNonCentralChiSquare`."

python/src/P1LagrangeEvaluation_doc.i.in

@@ -36,6 +36,7 @@ Create a P1 Lagrange evaluation:
 >>> evaluation = ot.P1LagrangeEvaluation(field)
 >>> print(evaluation([2.3]))
 [0.55]"
+
 // ---------------------------------------------------------------------
 
 %feature("docstring") OT::P1LagrangeEvaluation::getField
@@ -55,3 +56,86 @@ Parameters
 ----------
 field : :class:`~openturns.Field`
     The field defining the function."
+
+// ---------------------------------------------------------------------
+
+%feature("docstring") OT::P1LagrangeEvaluation::getEnclosingSimplexAlgorithm
+"Accessor to the algorithm used to find the simplex containing a given point.
+
+Returns
+-------
+algo : :class:`~openturns.EnclosingSimplexAlgorithm`
+    The algorithm used to find the simplex containing a given point."
+
+// ---------------------------------------------------------------------
+
+%feature("docstring") OT::P1LagrangeEvaluation::setEnclosingSimplexAlgorithm
+"Accessor to the algorithm used to find the simplex containing a given point.
+
+Parameters
+----------
+algo : :class:`~openturns.EnclosingSimplexAlgorithm`
+    The algorithm used to find the simplex containing a given point."
+
+// ---------------------------------------------------------------------
+
+// ---------------------------------------------------------------------
+
+%feature("docstring") OT::P1LagrangeEvaluation::getNearestNeighbourAlgorithm
+"Accessor to the algorithm used to find the vertex nearest to a given point.
+
+Returns
+-------
+algo : :class:`~openturns.NearestNeighbourAlgorithm`
+    The algorithm used to find the vertex nearest to a given point."
+
+// ---------------------------------------------------------------------
+
+%feature("docstring") OT::P1LagrangeEvaluation::setNearestNeighbourAlgorithm
+"Accessor to the algorithm used to find the vertex nearest to a given point.
+
+Parameters
+----------
+algo : :class:`~openturns.NearestNeighbourAlgorithm`
+    The algorithm used to find the vertex nearest to a given point."
+
+// ---------------------------------------------------------------------
+
+%feature("docstring") OT::P1LagrangeEvaluation::getMesh
+"Accessor to the mesh over which the interpolation is defined.
+
+Returns
+-------
+mesh : :class:`~openturns.Mesh`
+    The mesh over which the interpolation is defined."
+
+// ---------------------------------------------------------------------
+
+%feature("docstring") OT::P1LagrangeEvaluation::setMesh
+"Accessor to the mesh over which the interpolation is defined.
+
+Parameters
+----------
+mesh : :class:`~openturns.Mesh`
+    The mesh over which the interpolation is defined."
+
+// ---------------------------------------------------------------------
+
+%feature("docstring") OT::P1LagrangeEvaluation::getValues
+"Accessor to the values in which the interpolation is done.
+
+Returns
+-------
+values : :class:`~openturns.Sample`
+    The values in which the interpolation is done."
+
+// ---------------------------------------------------------------------
+
+%feature("docstring") OT::P1LagrangeEvaluation::setValues
+"Accessor to the values in which the interpolation is done.
+
+Parameters
+----------
+mesh : 2-d sequence of floats
+    The values in which the interpolation is done."
+