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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 = { |
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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): |