def predict(args):
day = args[2]
num_lineups = int(args[3])
filename = FILENAME_USED_NN
if len(args) == 5:
filename = "trainedModels/" + args[4]
day_x, playerList = getInputForDay(day, True)
print(day_x.shape)
print(len(playerList))
N, M = day_x.shape
day_X = np.ones((N, M + 1))
day_X[:, 1:] = day_x
model = NeuralNet(NeuralNet.load(filename))
scores, predictedLineups = model.getPrediction(day_X, playerList,
num_lineups)
print()
print("No noise lineup : ")
for i in range(len(scores)):
predictedLineup = predictedLineups[i]
print("player selected:")
for player in predictedLineup:
print(player.toString())
print()
print("Expected total score :" + str(scores[i]))
print("---------------")
