search_space.py

param_grid = {'learning_rate': [float(v) for v in np.arange(0.01, 0.25, 0.01)],
              'colsample_bytree': [float(v) for v in np.arange(0.8, 1.01, 0.1)],
              'subsample': [float(v) for v in np.arange(0.5, 1.01, 0.1)],
              'n_estimators': [int(v) for v in np.arange(100, 3000, 100)],
              'reg_alpha': [float(v) for v in np.arange(0.01, 0.5, 0.05)],
              'max_depth': [int(v) for v in np.arange(3, 14, 1)],
              'gamma': [int(v) for v in np.arange(0, 10, 2)]
              }