after predict, it is not integers result, how to output integers?

[hoyeunglee]

from seq2seq import SimpleSeq2Seq, Seq2Seq, AttentionSeq2Seq
import os
import csv
import sys
import logging
import time

input_dim=1
input_length=6
hidden_dim=10
output_length=6
output_dim=1
depth=4
models = []
model = Seq2Seq(output_dim=output_dim, hidden_dim=hidden_dim, output_length=output_length, input_shape=(input_length, input_dim))
#models += [Seq2Seq(output_dim=output_dim, hidden_dim=hidden_dim, output_length=output_length, input_shape=(input_length, input_dim), peek=True)]
#models += [Seq2Seq(output_dim=output_dim, hidden_dim=hidden_dim, output_length=output_length, input_shape=(input_length, input_dim), depth=2)]
#models += [Seq2Seq(output_dim=output_dim, hidden_dim=hidden_dim, output_length=output_length, input_shape=(input_length, input_dim), peek=True, depth=2)]

model.compile(loss='mse', optimizer='sgd')


y = []
x = []
with open('./Mark Six.csv', 'rt') as csvfile:
    reader = csv.DictReader(csvfile)
    count = 1
    for row in reader:
        if count <= 1626:
            x = x + [[[int(row['Winning Number 1'].strip())],[int(row['2'].strip())],[int(row['3'].strip())],[int(row['4'].strip())],[int(row['5'].strip())],[int(row['6'].strip())]]]
        count = count + 1

with open('./Mark Six.csv', 'rt') as csvfile:
    reader = csv.DictReader(csvfile)
    count = 1
    for row in reader:
        if count > 1 and count <= 1627:
            y = y + [[[int(row['Winning Number 1'].strip())],[int(row['2'].strip())],[int(row['3'].strip())],[int(row['4'].strip())],[int(row['5'].strip())],[int(row['6'].strip())]]]
        count = count + 1

model.fit(np.array(x), np.array(y), epochs=1)
#model = Seq2Seq(output_dim=output_dim, hidden_dim=hidden_dim, output_length=output_length, input_shape=(input_length, input_dim), peek=True, depth=2, teacher_force=True)
#model.compile(loss='mse', optimizer='sgd')
#model.fit([np.array(x), np.array(y)], np.array(y), epochs=1)

x_test = []
with open('./Mark Six.csv', 'rt') as csvfile:
    reader = csv.DictReader(csvfile)
    count = 1
    for row in reader:
        if count > 1627-2:
            x_test = x_test + [[[int(row['Winning Number 1'].strip())],[int(row['2'].strip())],[int(row['3'].strip())],[int(row['4'].strip())],[int(row['5'].strip())],[int(row['6'].strip())]]]
        count = count + 1

y_test = []
with open('./Mark Six.csv', 'rt') as csvfile:
    reader = csv.DictReader(csvfile)
    count = 1
    for row in reader:
        if count > 1627-2:
            y_test = y_test + [[[int(row['Winning Number 1'].strip())],[int(row['2'].strip())],[int(row['3'].strip())],[int(row['4'].strip())],[int(row['5'].strip())],[int(row['6'].strip())]]]
        count = count + 1

model.predict(np.array([x_test[3]]))