refactor and separate AD from classification and regression

Author: ppalmes

AutoAD/Project.toml

@@ -0,0 +1,4 @@
+name = "AutoAD"
+uuid = "a90a1e1f-13cb-41ec-be1f-24b06fd2b474"
+authors = ["Paulito Palmes, PhD <ppalmes@gmail.com>"]
+version = "0.1.0"

AutoAD/src/AutoAD.jl

@@ -0,0 +1,68 @@
+module AutoAD
+
+greet() = print("Hello World!")
+
+using Reexport
+@reexport using AutoMLPipeline
+@reexport using AMLPipelineBase
+
+using CSV
+using DataFrames
+using AMLPipelineBase.AbsTypes
+export fit, fit!, transform, transform!, fit_transform, fit_transform!
+import AMLPipelineBase.AbsTypes: fit!, transform!, fit, transform
+using AMLPipelineBase: AbsTypes, Utils
+
+export get_iris
+
+
+function get_iris()
+  iris = CSV.read(joinpath(Base.@__DIR__, "../../data", "iris.csv"), DataFrame)
+  return iris
+end
+
+# -------------
+include("autoclassification.jl")
+using .AutoClassifications
+export AutoClassification
+
+include("autoregression.jl")
+using .AutoRegressions
+export AutoRegression
+
+include("skanomalydetector.jl")
+using .SKAnomalyDetectors
+export SKAnomalyDetector, skanomalydetectors
+export skaddriver
+
+include("caretanomalydetector.jl")
+using .CaretAnomalyDetectors
+export CaretAnomalyDetectors, CaretAnomalyDetector
+export caretdriver
+
+
+include("carettspredictor.jl")
+using .CaretTSPredictors
+export CaretTSPredictor, carettsdriver
+
+include("autoanomalydetection.jl")
+using .AutoAnomalyDetections
+export AutoAnomalyDetection
+export autoaddriver
+
+include("automlflowclassification.jl")
+using .AutoMLFlowClassifications
+export AutoMLFlowClassification
+export mlfcldriver
+
+include("automlflowregression.jl")
+using .AutoMLFlowRegressions
+export AutoMLFlowRegression
+export mlfregdriver
+
+include("automlflowanomalydetection.jl")
+using .AutoMLFlowAnomalyDetections
+export AutoMLFlowAnomalyDetection
+export mlfaddriver
+
+end # module AutoAD

AutoAI/src/autoanomalydetection.jl AutoAD/src/autoanomalydetection.jlAutoAI/src/autoanomalydetection.jl renamed to AutoAD/src/autoanomalydetection.jl

@@ -1,8 +1,7 @@
 module AutoAnomalyDetections
 using Distributed
-using AutoMLPipeline
+using ..AutoMLPipeline
 using DataFrames: DataFrame, nrow, rename!
-using AutoMLPipeline: score
 using Random
 using Statistics
 using ..AbsTypes

AutoAI/src/automlflowanomalydetection.jl AutoAD/src/automlflowanomalydetection.jlAutoAI/src/automlflowanomalydetection.jl renamed to AutoAD/src/automlflowanomalydetection.jl

@@ -11,7 +11,6 @@ using Random
 using ..AbsTypes
 using ..Utils
 using ..AutoAnomalyDetections
-using ..AutoMLPipeline: getiris
 
 import ..AbsTypes: fit, fit!, transform, transform!
 export fit, fit!, transform, transform!

AutoAI/src/caretanomalydetector.jl AutoAD/src/caretanomalydetector.jlAutoAI/src/caretanomalydetector.jl renamed to AutoAD/src/caretanomalydetector.jl

@@ -0,0 +1,11 @@
+module TestAutoAI
+using Distributed
+
+nprocs() == 1 && addprocs()
+@everywhere using AutoAI
+
+@everywhere include("./test_automl.jl")
+@everywhere include("./test_caret_anomalydetector.jl")
+include("./test_skanomalydetector.jl")
+@everywhere include("./test_caret_tspredictor.jl")
+end