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import numpy as np
from scipy.sparse import csr_matrix


def save_dataset(filename, x, y):
    np.savez(filename, data=x.data, indices=x.indices,
             indptr=x.indptr, shape=x.shape, target=y)


def load_dataset(filename):

wrwr

import time

import xgboost as xgb
from sklearn.model_selection import RandomizedSearchCV

x_train, y_train, x_valid, y_valid, x_test, y_test =  # load datasets

clf = xgb.XGBClassifier()

param_grid = {