小编Cas*_*e.L的帖子

我试图让我的背景图像在列表视图模糊,但我尝试按照教程,它不起作用.有人请指教,谢谢.

main activity.java

public class IngredientCategoryMain extends Activity {

ListView list;
String[] title;
CategoryImageAdapter adapter;





@Override
protected void onCreate(Bundle savedInstanceState) {
    super.onCreate(savedInstanceState);
    setContentView(R.layout.activity_ingredient_category_main);

    list=(ListView)findViewById(R.id.listView);
    title = getResources().getStringArray(R.array.titles);
    adapter=new CategoryImageAdapter(this, mStrings, title);
    list.setAdapter(adapter);

}

@Override
public void onDestroy() {
    list.setAdapter(null);
    super.onDestroy();
}

public View.OnClickListener listener=new View.OnClickListener() {
    @Override
    public void onClick(View arg0) {
        adapter.imageLoader.clearCache();
        adapter.notifyDataSetChanged();


    }
};

public void onItemClick(int mPosition) {
    String tempValues = title[mPosition];
    Toast.makeText(IngredientCategoryMain.this, "Click on image "+tempValues+" to enter", Toast.LENGTH_LONG).show();

}

private String[] mStrings={
        "https://pixabay.com/static/uploads/photo/2014/07/08/14/33/breads-387544_960_720.jpg",
        "http://mtbev.org/wp-content/uploads/2014/02/Bottles.jpg",
        "https://c2.staticflickr.com/8/7023/6548962149_7a9fdd9cf4_b.jpg", …

我已经重新安装了最新的 scikit-learn 和不平衡学习。我还检查了所有其他库，以确保它们与不平衡学习兼容。

我只想运行一个简单的RandomOverSample()，但我收到以下导入错误消息：

import imblearn
from imblearn.over_sampling import RandomOverSampler

ros = RandomOverSampler()
X_ros, y_ros = ros.fit_sample(x, y)

错误信息：

    ---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)
<ipython-input-122-0bf7409a8688> in <module>
----> 1 import imblearn
      2 from imblearn.over_sampling import RandomOverSampler
      3 
      4 ros = RandomOverSampler()
      5 X_ros, y_ros = ros.fit_sample(x, y)

~/.local/lib/python3.5/site-packages/imblearn/__init__.py in <module>
     32     Module which allowing to create pipeline with scikit-learn estimators.
     33 """
---> 34 from . import combine
     35 from . import ensemble
     36 from . …