refactor autoad

Author: ppalmes

AutoAD/Project.toml

@@ -22,19 +22,30 @@ Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 
 [compat]
-AMLPipelineBase = "0.1.18"
-ArgParse = "1.2.0"
-AutoMLPipeline = "0.4.6"
-CSV = "0.10.15"
-CondaPkg = "0.2.30"
-DataFrames = "1.7.0"
-Dates = "1.11.0"
-Distributed = "1.11.0"
-PDFmerger = "0.3.3"
-Plots = "1.40.19"
-PythonCall = "0.9.27"
-Random = "1.11.0"
-Reexport = "1.2.2"
-Serialization = "1.11.0"
-Statistics = "1.11.1"
-Test = "1.11.0"
+AMLPipelineBase = "0.1"
+ArgParse = "1.2"
+AutoMLPipeline = "0.4"
+CSV = "0.10"
+CondaPkg = "0.2"
+DataFrames = "1.7"
+Dates = "1.11"
+Distributed = "1.11"
+PDFmerger = "0.3"
+Plots = "1.40"
+PythonCall = "0.9"
+Random = "1.11"
+Reexport = "1.2"
+Serialization = "1.11"
+Statistics = "1.11"
+Test = "1.11"
+julia = "1.6"
+
+[extras]
+CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
+DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
+Distributed = "8ba89e20-285c-5b6f-9357-94700520ee1b"
+Serialization = "9e88b42a-f829-5b0c-bbe9-9e923198166b"
+Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
+
+[targets]
+test = ["CSV", "DataFrames", "Distributed", "Serialization", "Test"]

AutoAD/src/AutoAD.jl

@@ -15,8 +15,6 @@ using AMLPipelineBase: AbsTypes, Utils
 
 export get_iris
 
-include("main.jl")
-
 function get_iris()
   iris = CSV.read(joinpath(Base.@__DIR__, "../../data", "iris.csv"), DataFrame)
   return iris
@@ -43,13 +41,4 @@ using .AutoMLFlowAnomalyDetections
 export AutoMLFlowAnomalyDetection
 export mlfaddriver
 
-include("carettspredictor.jl")
-using .CaretTSPredictors
-export CaretTSPredictor, carettsdriver
-
-include("automlflowtsprediction.jl")
-using .AutoMLFlowTSPredictions
-export AutoMLFlowTSPrediction
-export mlftsdriver
-
 end # module AutoAD