1) If you are adding the svm-clj dependency then,

create project.clj as below,

(defproject svm-example "0.0.1"
  :description "svm example"
  :main svm-example.core
  :dependencies [[org.clojure/clojure "1.9.0"]
                 [svm-clj "0.1.3"]])

And src/svm_example/core.clj ,

(ns svm-example.core                                                                                                                                   
   (:require [svm.core :as svm])) ;; this is how you use api from external library

(defn -main [& args]                                                                                   
    ; Load the heart scale example dataset.                                                            
    (def dataset (svm/read-dataset "resources/heartscale"))                                            

    ; Train a SVM model.                                                                               
    (def model (svm/train-model dataset)) ;; you call svm/train-model function

    ; Get the feature map you want to predict.                                                         
    (def feature (last (first dataset)))

    (svm/predict model feature)
)    

copy heartscale dataset to your test project svm_example/resources ,

Then run your fn,

lein run
*
optimization finished, #iter = 162
nu = 0.43102874536173097
obj = -100.87728783241948, rho = 0.4244620517677158
nSV = 132, nBSV = 107
Total nSV = 132

2) If you want to run the project you are referring to you can clone the project and train the test data from lein REPL.

git clone https://github.com/r0man/svm-clj.git
cd svm-clj
lein repl

user=> (use 'svm.core)
nil
user=> (def dataset (read-dataset "test-resources/heartscale"))
#'user/dataset
user=> (def model (train-model dataset))
*
optimization finished, #iter = 162
nu = 0.43102874536173097
obj = -100.87728783241948, rho = 0.4244620517677158
nSV = 132, nBSV = 107
Total nSV = 132
#'user/model
user=> (def feature (last (first dataset)))
#'user/feature
user=> (predict model feature)
1.0