Added generate_hastie_10_2

Author: nicolasmagalhaes

src/sklearn.jl

@@ -361,3 +361,22 @@ function generate_swiss_roll(;  n_samples::Int = 100,
 
    return convert(features, labels)
 end
+
+
+"""
+function generate_hastie_10_2(;  n_samples::Int = 12000,
+                                 random_state::Union{Int,Nothing} = nothing)
+Generates data for binary classification used in Hastie et al. 2009, Example 10.2.
+#Arguments
+- `n_samples::Int = 100`: The number of samples..
+- `random_state::Union{Int, Nothing} = nothing`: Determines random number generation for dataset creation. Pass an int for reproducible output across multiple function calls. See Glossary.
+Reference: [link](https://scikit-learn.org/stable/modules/generated/sklearn.datasets.make_hastie_10_2.html)
+"""
+function generate_hastie_10_2(;  n_samples::Int = 12000,
+                               random_state::Union{Int,Nothing} = nothing)
+
+   (features, labels) = datasets.make_hastie_10_2(  n_samples = n_samples,
+                                                   random_state = random_state)
+
+   return convert(features, labels)
+end

test/runtests.jl

@@ -71,11 +71,18 @@ using Test
 
     @test size(data)[1] == samples
     @test size(data)[2] == features
-    
-    data = SyntheticDatasets.generate_swiss_roll(n_samples =samples,
+
+    data = SyntheticDatasets.generate_swiss_roll(n_samples = samples,
                                                  noise = 2.2,
                                                  random_state = 5)
 
     @test size(data)[1] == samples
     @test size(data)[2] == 4
 end
+
+data = SyntheticDatasets.generate_hastie_10_2(n_samples = samples,
+                                              random_state = 5)
+
+@test size(data)[1] == samples
+@test size(data)[2] == 11
+end