Merge pull request #109 from JoshuaWhittemore/add-iris-logistic-regre…

…ssion

Add logistic regression example on iris dataset.

README.md

@@ -46,4 +46,4 @@ We welcome contributions of new models. They should be in a folder with a projec
   * [MLP on housing data](other/housing/housing.jl) (low level API)
   * [FizzBuzz](other/fizzbuzz/fizzbuzz.jl)
   * [Meta-Learning](other/meta-learning/MetaLearning.jl)
-
+  * [Logistic Regression Iris](other/iris/iris.jl)

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other/iris/Project.toml

@@ -0,0 +1,2 @@
+[deps]
+Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c"

other/iris/README.md

@@ -0,0 +1,41 @@
+
+
+# Use Flux to do Logistic Regression on the Iris dataset
+
+This is a very simple model, with a single layer that outputs to softmax.
+
+Logistic regression can basically be thought of as a [single layer neural network](https://sebastianraschka.com/faq/docs/logisticregr-neuralnet.html).
+
+## Data Source
+
+The data source is Fisher's classic dataset, retrieved from the [UCI Machine Learning Repository](https://archive.ics.uci.edu/ml/datasets/iris).
+
+## Usage
+
+`cd` into `model-zoo/other/iris`, start the Julia REPL and instantiate the environment:
+
+```julia
+
+julia> using Pkg; Pkg.activate("."); Pkg.instantiate()
+
+```
+
+Then train and evaluate the model:
+
+```julia
+
+julia> include("iris.jl")
+Starting training.
+
+Accuracy: 0.94
+
+Confusion Matrix:
+
+3×3 Array{Int64,2}:
+ 16   0   0
+  0  16   1
+  0   2  15
+
+julia>
+
+```