GpABC package: abc-example fail

General Usage
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1

I wanted to try Julia GpABC package. There are some examples on GitHub: GpABC.jl/abc-example.ipynb at master · tanhevg/GpABC.jl · GitHub

I used the In[1] and In[2] from the above and then tried to run simulator function, however, it leads to an

ERROR: MethodError: Cannot `convert` an object of type ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, ODEFunction{true, var"#ODE_3GeneReg#7", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, RK4, OrdinaryDiffEq.InterpolationData{ODEFunction{true, var"#ODE_3GeneReg#7", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Vector{Vector{Float64}}, Vector{Float64}, Vector{Vector{Vector{Float64}}}, OrdinaryDiffEq.RK4Cache{Vector{Float64}, Vector{Float64}, Vector{Float64}}}, DiffEqBase.DEStats} to an object of type Float64
Closest candidates are:
  convert(::Type{T}, ::Static.StaticFloat64{N}) where {N, T<:AbstractFloat} at ~/.julia/packages/Static/pkxBE/src/float.jl:26
  convert(::Type{T}, ::LLVM.GenericValue, ::LLVM.LLVMType) where T<:AbstractFloat at ~/.julia/packages/LLVM/YSJ2s/src/execution.jl:39
  convert(::Type{T}, ::LLVM.ConstantFP) where T<:AbstractFloat at ~/.julia/packages/LLVM/YSJ2s/src/core/value/constant.jl:111
  ...

I made the simulator_function run only, when I changed the function GeneReg() to return Obs only (without the type).

Then I run In[3] and In[4]. Nevertheless, the last part fails.

Here is the exact code I used:

# ~/GIT/GIT_Schistoxpkg.jl_1.2.15/src/ABCexample.jl
#
# ABC settings
#
using GpABC
using OrdinaryDiffEq
using Distances
using Distributions
using Plots
using StatsBase
using Printf
pyplot()

true_params =  [2.0, 1.0, 15.0, 1.0, 1.0, 1.0, 100.0, 1.0, 1.0, 1.0] # nominal parameter values
priors = [Uniform(0.2, 5.), Uniform(0.2, 5.), Uniform(10., 20.),
          Uniform(0.2, 2.), Uniform(0.2, 2.), Uniform(0.2, 2.),
          Uniform(75., 125.), Uniform(0.2, 2.), Uniform(0.2, 2.), 
          Uniform(0.2, 2.)]
param_indices = [1, 3, 9]  #indices of the parameters we want to estimate
priors = priors[param_indices]

#
# ODE solver settings
#
Tspan = (0.0, 10.0)
x0 = [3.0, 2.0, 1.0]
solver = RK4()
saveat = 0.1

#
# Returns the solution to the toy model as solved by OrdinaryDiffEq
#
GeneReg = function(params::AbstractArray{Float64,1},
    Tspan::Tuple{Float64,Float64}, x0::AbstractArray{Float64,1},
    solver::OrdinaryDiffEq.OrdinaryDiffEqAlgorithm, saveat::Float64)

  if size(params,1) != 10
    throw(ArgumentError("GeneReg needs 10 parameters, $(size(params,1)) were provided"))
  end

  function ODE_3GeneReg(dx, x, par, t)
    dx[1] = par[1]/(1+par[7]*x[3]) - par[4]*x[1]
    dx[2] = par[2]*par[8]*x[1]/(1+par[8]*x[1]) - par[5]*x[2]
    dx[3] = par[3]*par[9]*x[1]*par[10]*x[2]./(1+par[9]*x[1])./(1+par[10]*x[2]) - par[6]*x[3]
  end

  prob = ODEProblem(ODE_3GeneReg, x0 ,Tspan, params)
  Obs = solve(prob, solver, saveat=saveat)

  return Obs
  # return Array{Float64, 2}(Obs)
end

#
# A function that simulates the model 
#
function simulator_function(var_params)
    params = copy(true_params)
    params[param_indices] .= var_params
    GeneReg(params, Tspan, x0, solver, saveat)
end

simulator_function([2.0, 15.0, 1.0])

#
# Get reference data and plot it
#
reference_data = simulator_function(true_params[param_indices])
plot(reference_data', xlabel="t", ylabel="C(t)", linewidth=2, labels=["u1(t)" "u2(t)" "u3(t)"])

#
# Simulation
#
n_particles = 2000
threshold = 1.0
sim_result = SimulatedABCRejection(reference_data, simulator_function, priors, threshold, n_particles;
    max_iter=convert(Int, 2e6),
    write_progress=false)
plot(sim_result)

From the SimulatedABCRejection() I get an

ERROR: DimensionMismatch("parent has 101 elements, which is incompatible with size (303,)")
Stacktrace:
 [1] _throw_dmrs(n::Int64, str::String, dims::Tuple{Int64})
   @ Base ./reshapedarray.jl:181
 [2] _reshape
   @ ./reshapedarray.jl:176 [inlined]
 [3] reshape
   @ ./reshapedarray.jl:112 [inlined]
 [4] reshape
   @ ./reshapedarray.jl:116 [inlined]
 [5] keep_all_summary_statistic(data::ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, ODEFunction{true, var"#ODE_3GeneReg#7", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, RK4, OrdinaryDiffEq.InterpolationData{ODEFunction{true, var"#ODE_3GeneReg#7", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Vector{Vector{Float64}}, Vector{Float64}, Vector{Vector{Vector{Float64}}}, OrdinaryDiffEq.RK4Cache{Vector{Float64}, Vector{Float64}, Vector{Float64}}}, DiffEqBase.DEStats})
   @ GpABC ~/.julia/packages/GpABC/o0EN1/src/abc/summary_stats.jl:107
 [6] SimulatedABCRejection(reference_data::ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, ODEFunction{true, var"#ODE_3GeneReg#7", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, RK4, OrdinaryDiffEq.InterpolationData{ODEFunction{true, var"#ODE_3GeneReg#7", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Vector{Vector{Float64}}, Vector{Float64}, Vector{Vector{Vector{Float64}}}, OrdinaryDiffEq.RK4Cache{Vector{Float64}, Vector{Float64}, Vector{Float64}}}, DiffEqBase.DEStats}, simulator_function::Function, priors::Vector{Uniform{Float64}}, threshold::Float64, n_particles::Int64; summary_statistic::String, distance_function::Euclidean, max_iter::Int64, kwargs::Base.Pairs{Symbol, Bool, Tuple{Symbol}, NamedTuple{(:write_progress,), Tuple{Bool}}})
   @ GpABC ~/.julia/packages/GpABC/o0EN1/src/abc/simulation.jl:54
 [7] top-level scope
   @ ~/GIT/GIT_Schistoxpkg.jl_1.2.15/src/ABCexample.jl:76

Any idea why the example fails?

2

I opened an issue for this, and it was sorted out.

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