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#!/usr/bin/env python | |
# coding: utf-8 | |
import numpy as np | |
import matplotlib.pyplot as plt | |
# centered case | |
def LHS(n, d): | |
samples = np.tile(np.arange(n, dtype=np.float64), (d, 1)).reshape(d, n) |
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import lightgbm as lgb | |
import numpy as np | |
import pandas as pd | |
import sklearn.datasets | |
from sklearn.datasets import fetch_openml | |
import sklearn.metrics | |
from sklearn.model_selection import train_test_split | |
import optuna |
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