From dc8409aeba09374893f5190597df55d68858ec8f Mon Sep 17 00:00:00 2001
From: per1234 <accounts@perglass.com>
Date: Mon, 8 Jun 2020 22:51:53 -0700
Subject: [PATCH] Remove duplicate example sketch

There is a duplicate of this file at examples/Color_Perceptron. Since the Arduino library specification recommends (with talk of making it mandatory) that examples be placed under the examples folder, it makes sense to leave that copy and remove this one.
---
 Color_Perceptron/Color_Perceptron.ino | 134 --------------------------
 1 file changed, 134 deletions(-)
 delete mode 100644 Color_Perceptron/Color_Perceptron.ino

diff --git a/Color_Perceptron/Color_Perceptron.ino b/Color_Perceptron/Color_Perceptron.ino
deleted file mode 100644
index eae5089..0000000
--- a/Color_Perceptron/Color_Perceptron.ino
+++ /dev/null
@@ -1,134 +0,0 @@
-/*
-
-Perceptron example
-
-Hardware: Arduino Nano BLE Sense
-
-Usage: Follow the prompts in the Serial Monitor and show two objects of different colors to the color sensor onboard the Arduino.
-The sketch will train a perceptron using these examples, and then classify objects you show it in the future.
-
-The color sensor works better in a well lit area
-
-*/
-
-#include <Arduino_APDS9960.h>
-#include <Arduino_Perceptron.h>
-
-const int   NUM_INPUTS          = 3;     // Red, green and blue
-const int   CLASSES             = 2;     // The perceptron only has 2 possible classes
-const int   EXAMPLES            = 30;    // Number of samples for each object
-const int   NUM_EPOCHS          = 100;   // Maximum training iterations
-const float LEARNING_RATE       = 0.001; // Perceptron learning rate
-const int   THRESHOLD           = 5;     // Color sensor light threshold
-
-float       input[NUM_INPUTS];
-float       weights[NUM_INPUTS+1];       // Weights for each color input + the bias
-String      label[CLASSES] = {"object A", "object B"};
-
-Perceptron  perceptron(NUM_INPUTS, LEARNING_RATE);
-
-void setup() {
-  Serial.begin(9600);
-  while (!Serial);
-
-  if (!APDS.begin()) {
-    Serial.println("Failed to initialize APDS color sensor!");
-    while (1);
-  }
-
-  Serial.println("Arduino perceptron");
-
-  // Get example color data
-  // ----------------------
-  for (int thisClass = 0; thisClass <= 1; thisClass++) {
-
-    Serial.print("Show me ");
-    Serial.println(label[thisClass]);
-
-    // Wait for the object to move away again
-    while (!APDS.proximityAvailable() || APDS.readProximity() == 0) {}
-
-    // Get n color samples from the object
-    for (int n = 0; n < EXAMPLES; n++) {
-      readColor(input); // red, green and blue
-      perceptron.addExample(input, thisClass); // Add to training set
-    }
-  }
-
-  // Train the perceptron
-  // --------------------
-  Serial.println("\nTraining perceptron");
-  int epoch = 0;
-  float accuracy = 0;
-
-  Serial.print("Start weights:");
-  printWeights();
-
-  for (int epoch = 0; epoch < NUM_EPOCHS; epoch++) {
-    accuracy = perceptron.train();
-    Serial.print("Accuracy: ");
-    Serial.println(accuracy);
-  }
-
-  Serial.print("End weights:");
-  printWeights();
-
-  Serial.println("Training complete\n");
-}
-
-
-// Classify objects shown
-// ----------------------
-void loop() {
-
-  int output;
-
-  // Wait for the object to move away again
-  while (!APDS.proximityAvailable() || APDS.readProximity() == 0) {}
-
-  Serial.println("Let me guess your object");
-
-  readColor(input);
-
-  output = perceptron.classify(input);
-
-  Serial.print("You showed me ");
-  Serial.println(label[output]);
-}
-
-
-void readColor(float color[]) {
-  int red, green, blue;
-
-  // Loop until we have a color sample bright enough
-  while (red+green+blue < THRESHOLD) {
-    // Sample if color sensor is available and the object is close
-    if (APDS.colorAvailable() && APDS.proximityAvailable() && APDS.readProximity() == 0) {
-      APDS.readColor(red, green, blue);
-    }
-  }
-
-  // Put color sample data in input array
-  color[0] = (float)red;
-  color[1] = (float)green;
-  color[2] = (float)blue;
-
-  // Print the red, green and blue values
-  printArray(color,NUM_INPUTS);
-}
-
-
-void printWeights() {
-  perceptron.getWeights(weights,NUM_INPUTS+1); // input weights plus the bias
-  printArray(weights,NUM_INPUTS+1);
-}
-
-
-void printArray(float myArray[], int length) {
-  Serial.print(myArray[0]);
-  for (int n = 1; n < length; n++) {
-    Serial.print(",");
-    Serial.print(myArray[n]);
-  }
-  Serial.println();
-}