Input -> Synapse.Builder

Author: Lukas Molzberger

src/main/java/org/aika/Input.java

@@ -262,90 +262,6 @@ private boolean suspend(int docId, Provider<? extends AbstractNode> p, Suspensio
         return false;
     }
 
-
-    /**
-     * Creates a neuron with the given bias.
-     *
-     * @param n
-     * @param bias
-     * @param inputs
-     * @return
-     */
-    public Neuron initNeuron(Neuron n, double bias, Type type, Input... inputs) {
-        return initNeuron(n, bias, type, new TreeSet<>(Arrays.asList(inputs)));
-    }
-
-
-    /**
-     * Creates a neuron with the given bias.
-     *
-     * @param n
-     * @param bias
-     * @param inputs
-     * @return
-     */
-    public Neuron initNeuron(Neuron n, double bias, String activationFunctionKey, Type type, Input... inputs) {
-        return initNeuron(n, bias, activationFunctionKey, type, new TreeSet<>(Arrays.asList(inputs)));
-    }
-
-
-
-    /**
-     * Creates a neuron with the given bias.
-     *
-     * @param n
-     * @param bias
-     * @param inputs
-     * @return
-     */
-    public Neuron initNeuron(Neuron n, double bias, Type type, Collection<Input> inputs) {
-        return initNeuron(n, bias, null, type, inputs);
-    }
-
-    /**
-     * Creates a neuron with the given bias.
-     *
-     * @param n
-     * @param bias
-     * @param inputs
-     * @return
-     */
-    public Neuron initNeuron(Neuron n, double bias, String activationFunctionKey, Type type, Collection<Input> inputs) {
-        List<Synapse> is = new ArrayList<>();
-
-        for (Input input : inputs) {
-            Synapse s = input.getSynapse(n);
-            s.weightDelta = input.weight;
-            s.biasDelta = input.bias;
-            is.add(s);
-        }
-
-        if(activationFunctionKey != null) {
-            ActivationFunction af = activationFunctions.get(activationFunctionKey);
-            INeuron in = n.get();
-            in.activationFunction = af;
-            in.activationFunctionKey = activationFunctionKey;
-        }
-
-        if(type != null) {
-            INeuron in = n.get();
-            in.type = type;
-        }
-
-        return INeuron.update(this, defaultThreadId, n, bias, is);
-    }
-
-
-    public void addSynapse(Neuron n, Input input) {
-        Synapse s = input.getSynapse(n);
-
-        s.weightDelta = input.weight;
-        s.biasDelta = input.bias;
-
-        INeuron.update(this, defaultThreadId, n, 0.0, Collections.singletonList(s));
-    }
-
-
     public void removeProvider(Provider p) {
         activeProviders.remove(p.id);
         providers.remove(p.id);