forest[0].tree_.predict(test_inputs)

def permutation_importances(rf, x_tr, y_train):
rf.fit(x_tr,y_train)
baseline = rf.oob_score_
imp = []
for col in x_tr.columns:
    rf_ = rf
    save = x_tr[col]
    x_tr.loc[:,col] = np.random.permutation(save)
    rf_.fit(x_tr, y_train)
    m = rf_.oob_score_
    x_tr.loc[:,col] = save
    imp.append(baseline - m)