def selfTest(cuisinier):
# Read and parse JSON data
recipes = getClassifiedRecipes(TRAINING_FILE)
cuisinier.addRecipes(recipes)
success = 0
for recipe in recipes:
result = cuisinier.classifyRecipe(Recipe(recipe.id,
recipe.ingredients))
if result.cuisine == recipe.cuisine:
success += 1
print((cuisinier.getAlgorithmType() + " self-test accuracy: " +
str(success) + "/" + str(len(recipes)) + " (" +
"{0:.2f}".format(success / len(recipes) * 100) + "%)"))
def selfTest():
# Read and parse JSON data
recipes = getClassifiedRecipes(TRAINING_FILE)
cuisinier = Cuisinier()
cuisinier.addRecipes(recipes)
success = 0
for recipe in recipes:
result = cuisinier.classifyRecipe(Recipe(recipe.id,
recipe.ingredients))
if result.cuisine == recipe.cuisine:
success += 1
print(str(result.id) + ":\t" + result.cuisine + " / " + recipe.cuisine)
print("Self-test: " + str(success) + "/" + str(len(recipes)))
def test():
recipesToClassify = getRecipes(TEST_FILE)
recipes = getClassifiedRecipes(TRAINING_FILE)
cuisinier = Cuisinier()
cuisinier.addRecipes(recipes)
with open('submissionData.csv', 'wb') as fileToWrite:
csv_writer = csv.writer(fileToWrite)
csv_writer = csv.writer(fileToWrite, delimiter=',',
quotechar='|', quoting=csv.QUOTE_MINIMAL)
csv_writer.writerow(["id","cuisine"])
success = 0
for recipe in recipesToClassify:
result = cuisinier.classifyRecipe(Recipe(recipe.id,
recipe.ingredients))
csv_writer.writerow([recipe.id, result.cuisine])
def getRecipes(file):
f = open(file)
recipes = json.loads(f.read())
f.close()
return [Recipe(recipe["id"], recipe["ingredients"]) for recipe in recipes]