Update dependencies.

Author: jcsims

project.clj

@@ -4,12 +4,12 @@
   :license {:name "Eclipse Public License"
             :url "http://www.eclipse.org/legal/epl-v10.html"}
   :dependencies [[org.clojure/clojure "1.6.0"]
-                 [org.clojure/tools.reader "0.8.13"]
+                 [org.clojure/tools.reader "0.8.15"]
                  [org.clojure/data.csv "0.1.2"]
-                 [net.mikera/vectorz-clj "0.28.0"]
-                 [net.mikera/core.matrix "0.32.1"]
+                 [net.mikera/vectorz-clj "0.29.0"]
+                 [net.mikera/core.matrix "0.33.2"]
                  [net.mikera/core.matrix.stats "0.5.0"]
-                 [com.taoensso/timbre "3.3.1"]]
-  :profiles {:dev {:dependencies [[org.clojure/test.check "0.6.2"]]}}
+                 [com.taoensso/timbre "3.4.0"]]
+  :profiles {:dev {:dependencies [[org.clojure/test.check "0.7.0"]]}}
   :jvm-opts ["-Xmx4g" "-Xms3g"]
   :deploy-repositories [["releases" :clojars]])

src/deebn/dnn.clj

@@ -6,8 +6,7 @@
             [clojure.core.matrix.operators :refer [+ * -]]
             [clojure.core.matrix.random :as rand]
             [clojure.core.matrix.select :as s]
-            [clojure.tools.reader.edn :as edn]
-            [taoensso.timbre :refer [spy debug]])
+            [clojure.tools.reader.edn :as edn])
   (:import java.io.Writer))
 
 (m/set-current-implementation :vectorz)
@@ -122,8 +121,8 @@
                    :classes (:classes dnn)}
         output (net-output
                 (assoc dnn
-                  :weights (butlast (:weights dnn))
-                  :biases (butlast (:biases dnn)))
+                       :weights (butlast (:weights dnn))
+                       :biases (butlast (:biases dnn)))
                 (m/matrix
                  (s/sel dataset
                         (s/irange)
@@ -137,10 +136,10 @@
                                   learning-rate lambda batch-size)]
       (if (> epoch epochs)
         (assoc dnn
-          :weights (assoc (:weights dnn) (dec (count (:weights dnn)))
-                          (first (:weights top-layer)))
-          :biases (assoc (:biases dnn) (dec (count (:biases dnn)))
-                         (first (:biases top-layer))))
+               :weights (assoc (:weights dnn) (dec (count (:weights dnn)))
+                               (first (:weights top-layer)))
+               :biases (assoc (:biases dnn) (dec (count (:biases dnn)))
+                              (first (:biases top-layer))))
         (do
           (println "Pre-training logistic regression layer, epoch" epoch)
           (recur (inc epoch)