JuliaAI
diff --git a/‎__site/.travis.yml
+10 b/‎__site/.travis.yml
+10
diff --git a/‎__site/assets/end-to-end/AMES/code/output/ex11.res
+1-1 b/‎__site/assets/end-to-end/AMES/code/output/ex11.res
+1-1
diff --git a/‎__site/assets/end-to-end/AMES/code/output/ex25.res
+2-2 b/‎__site/assets/end-to-end/AMES/code/output/ex25.res
+2-2
diff --git a/‎__site/assets/end-to-end/AMES/code/output/ex26.res
+4-4 b/‎__site/assets/end-to-end/AMES/code/output/ex26.res
+4-4
diff --git a/‎__site/assets/end-to-end/AMES/code/output/ex4.res
+1-1 b/‎__site/assets/end-to-end/AMES/code/output/ex4.res
+1-1
diff --git a/‎__site/assets/end-to-end/AMES/code/output/ex8.res
+1-1 b/‎__site/assets/end-to-end/AMES/code/output/ex8.res
+1-1
diff --git a/‎__site/assets/end-to-end/AMES/code/output/ex9.res
+1-1 b/‎__site/assets/end-to-end/AMES/code/output/ex9.res
+1-1
diff --git a/‎__site/assets/end-to-end/crabs-xgb/code/output/EX-crabs-xgb-curve1.svg
+12-12 b/‎__site/assets/end-to-end/crabs-xgb/code/output/EX-crabs-xgb-curve1.svg
+12-12
@@ -0,0 +1,10 @@
+language: julia
+os:
+  - linux
+julia:
+  - 1.3
+env:
+  global:
+  - PYTHON=conda
+notifications:
+    email: false
@@ -1 +1 @@
-Node @ 1…77 = predict(7…05, transform(5…42, 4…03))
+Node @ 1…37 = predict(1…76, transform(9…41, 9…98))
@@ -1,4 +1,4 @@
 3-element Array{MLJBase.NumericRange{MLJBase.Bounded,T,Symbol} where T,1}:
- NumericRange @ 1…21
- NumericRange @ 3…03
+ NumericRange @ 8…14
+ NumericRange @ 3…25
  NumericRange @ 2…80
@@ -1,7 +1,7 @@
 DeterministicTunedModel(
     model = KNNRidgeBlend(
-            knn_model = KNNRegressor @ 2…75,
-            ridge_model = RidgeRegressor @ 1…23,
+            knn_model = KNNRegressor @ 1…65,
+            ridge_model = RidgeRegressor @ 4…91,
             knn_weight = 0.3),
     tuning = Grid(
             goal = nothing,
@@ -15,10 +15,10 @@ DeterministicTunedModel(
     measure = rmsl(),
     weights = nothing,
     operation = MLJModelInterface.predict,
-    range = MLJBase.NumericRange{MLJBase.Bounded,T,Symbol} where T[NumericRange @ 1…21, NumericRange @ 3…03, NumericRange @ 2…80],
+    range = MLJBase.NumericRange{MLJBase.Bounded,T,Symbol} where T[NumericRange @ 8…14, NumericRange @ 3…25, NumericRange @ 2…80],
     train_best = true,
     repeats = 1,
     n = nothing,
     acceleration = ComputationalResources.CPU1{Nothing}(nothing),
     acceleration_resampling = ComputationalResources.CPU1{Nothing}(nothing),
-    check_measure = true) @ 1…60
+    check_measure = true) @ 1…77
@@ -1 +1 @@
-Machine{ConstantRegressor} @ 3…07
+Machine{ConstantRegressor} @ 1…06
@@ -4,4 +4,4 @@ KNNRegressor(
     metric = Distances.Euclidean(0.0),
     leafsize = 10,
     reorder = true,
-    weights = :uniform) @ 8…57
+    weights = :uniform) @ 1…95
@@ -1 +1 @@
-Source{:target} @ 2…36
+Source{:target} @ 1…91
Original file line number	Diff line number	Diff line change
`@@ -1 +1 @@`
`1`		`-Node @ 1…77 = predict(7…05, transform(5…42, 4…03))`
	`1`	`+Node @ 1…37 = predict(1…76, transform(9…41, 9…98))`
Original file line number	Diff line number	Diff line change
`@@ -1 +1 @@`
`1`		`-Machine{ConstantRegressor} @ 3…07`
	`1`	`+Machine{ConstantRegressor} @ 1…06`
Original file line number	Diff line number	Diff line change
`@@ -1 +1 @@`
`1`		`-Source{:target} @ 2…36`
	`1`	`+Source{:target} @ 1…91`