diff --git a/algorithms/abc_smc.jl b/algorithms/abc_smc.jl
index fe74b147217843223737c90544eee856a6793d49..9d5b830f6ea2ed8afe5c3bb53bc5f5111adf8b61 100644
--- a/algorithms/abc_smc.jl
+++ b/algorithms/abc_smc.jl
@@ -1,17 +1,4 @@
 
-import StatsBase: mean, median, std, cov, ProbabilityWeights
-import Statistics: quantile
-import NearestNeighbors: KDTree, knn 
-import Distributions: MvNormal, Categorical
-import Random: rand!
-
-import Distributed: @sync, @async, nworkers, nprocs, workers
-import DistributedArrays: DArray, dzeros, convert, localpart
-using Distributed
-using LinearAlgebra
-using DelimitedFiles
-using Logging
-
 include("_utils_abc.jl")
 
 struct ResultAbc
diff --git a/core/MarkovProcesses.jl b/core/MarkovProcesses.jl
index 11893c48b49811910f614224ad4005ab0ce7fded..33ac30ac3a833b4f70056451d6b8b4a7d29c8e83 100644
--- a/core/MarkovProcesses.jl
+++ b/core/MarkovProcesses.jl
@@ -6,19 +6,27 @@ import Base: copy, getfield, getindex, getproperty, lastindex
 import Base: setindex!, setproperty!, fill!, copyto!
 
 import Dates
-import Distributed: @everywhere, @distributed
-import Distributions: Product, Uniform, Normal
+import DelimitedFiles: readdlm, writedlm
+import Distributed: @everywhere, @distributed, @sync, @async, nworkers, nprocs, workers
+import Distributed: nworkers, nprocs, workers, remotecall_fetch
+import DistributedArrays: DArray, dzeros, convert, localpart
+import Distributions: Product, Uniform, Normal, MvNormal, Categorical
 import Distributions: Distribution, Univariate, Continuous, 
                       UnivariateDistribution, DiscreteUnivariateDistribution,
                       MultivariateDistribution, product_distribution
 import Distributions: insupport, isbounded, ncategories, pdf
 import FunctionWrappers: FunctionWrapper
+import Logging: @info
+using LinearAlgebra
+import NearestNeighbors: KDTree, knn 
 import Random: rand, rand!
 import ScikitLearn
 import ScikitLearn: fit!, predict, get_params
 import ScikitLearn.GridSearch: GridSearchCV
 import SharedArrays: SharedVector, SharedMatrix, sdata
 import StaticArrays: SVector, @SVector
+import Statistics: quantile
+import StatsBase: mean, median, std, cov, ProbabilityWeights
 # Python objects import
 import PyCall: PyNULL
 const RandomForestClassifier = PyNULL()