title: Recieved import error while importing joblib from sklearn.externals
body: <p>Exectued the followwing code</p>
  
  <pre><code>from flask import Flask, request, jsonify, make_response
  from flask_restplus import Api, Resource, fields
  from sklearn.externals import joblib
  import numpy as np
  import sys
  
  flask_app = Flask(__name__)
  app = Api(app = flask_app, 
            version = "1.0", 
            title = "ML React App", 
            description = "Predict results using a trained model")
  
  name_space = app.namespace('prediction', description='Prediction APIs')
  
  model = app.model('Prediction params', 
                    {'Recency': fields.Float(required = True, 
                                                 description="Recency Value", 
                                                 help="Recency Value cannot be blank"),
                    'Frequency': fields.Float(required = True, 
                                                 description="Frequency Value", 
                                                 help="Frequency Value cannot be blank"),
                    'Monetary': fields.Float(required = True, 
                                              description="Monetary Value", 
                                              help="Monetary Value cannot be blank"),
                    })
  
  classifier = joblib.load('classifier.joblib')
  
  @name_space.route("/")
  class MainClass(Resource):
  
      def options(self):
          response = make_response()
          response.headers.add("Access-Control-Allow-Origin", "*")
          response.headers.add('Access-Control-Allow-Headers', "*")
          response.headers.add('Access-Control-Allow-Methods', "*")
          return response
  
      @app.expect(model)      
      def post(self):
          try: 
              formData = request.json
              data = [val for val in formData.values()]
              prediction = classifier.predict(np.array(data).reshape(1, -1))
              types = { 0: "Loyal", 1: "NotLoyal"}
              response = jsonify({
                  "statusCode": 200,
                  "status": "Prediction made",
                  "result": "The type of Loyalty is: " + types[prediction[0]]
                  })
              response.headers.add('Access-Control-Allow-Origin', '*')
              return response
          except Exception as error:
              return jsonify({
                  "statusCode": 500,
                  "status": "Could not make prediction",
                  "error": str(error)
              })
  </code></pre>
  
  <p>Recieved the following error.</p>
  
  <p>Error: While importing "app", an ImportError was raised:<br></p>
  
  <p>Traceback (most recent call last):<br>
    File "d:\dilipan\clg\proj\ml-react-app-template-master\service\venv\lib\site-packages\flask\cli.py", line 240, in locate_app<br>
      <strong>import</strong>(module_name)<br>
    File "D:\dilipan\clg\proj\ML-React-App-Template-master\service\app.py", line 3, in 
      from sklearn.externals import joblib<br>
  ImportError: cannot import name 'joblib' from 'sklearn.externals' (d:\dilipan\clg\proj\ml-react-app-template-master\service\venv\lib\site-packages\sklearn\externals__init__.py)<br></p>
  
  <p>I executed the same in a different pc 2 months ago and it was working fine.</p>
  
  <p>Could not import joblib from sklearn.externals</p>
  
  <p>Any would be appreciated. Thanks in advance.</p>
  
  <p><strong>Edit :</strong> </p>
  
  <p>I tried using :
  <code>import joblib</code>
  instead of 
  <code>from sklearn.externals import joblib</code> 
  it gave me the following errors</p>
  
  <pre><code>File "c:\users\dilipan\appdata\local\programs\python\python38-32\lib\runpy.py", line 193, in _run_module_as_main
      return _run_code(code, main_globals, None,
    File "c:\users\dilipan\appdata\local\programs\python\python38-32\lib\runpy.py", line 86, in _run_code
      exec(code, run_globals)
    File "D:\dilipan\clg\proj\ML-React-App-Template-master\service\venv\Scripts\flask.exe\__main__.py", line 7, in &lt;module&gt;
    File "d:\dilipan\clg\proj\ml-react-app-template-master\service\venv\lib\site-packages\flask\cli.py", line 967, in main
      cli.main(args=sys.argv[1:], prog_name="python -m flask" if as_module else None)
    File "d:\dilipan\clg\proj\ml-react-app-template-master\service\venv\lib\site-packages\flask\cli.py", line 586, in main
      return super(FlaskGroup, self).main(*args, **kwargs)
    File "d:\dilipan\clg\proj\ml-react-app-template-master\service\venv\lib\site-packages\click\core.py", line 782, in main
      rv = self.invoke(ctx)
    File "d:\dilipan\clg\proj\ml-react-app-template-master\service\venv\lib\site-packages\click\core.py", line 1259, in invoke
      return _process_result(sub_ctx.command.invoke(sub_ctx))
    File "d:\dilipan\clg\proj\ml-react-app-template-master\service\venv\lib\site-packages\click\core.py", line 1066, in invoke
      return ctx.invoke(self.callback, **ctx.params)
    File "d:\dilipan\clg\proj\ml-react-app-template-master\service\venv\lib\site-packages\click\core.py", line 610, in invoke
      return callback(*args, **kwargs)
    File "d:\dilipan\clg\proj\ml-react-app-template-master\service\venv\lib\site-packages\click\decorators.py", line 73, in new_func
      return ctx.invoke(f, obj, *args, **kwargs)
    File "d:\dilipan\clg\proj\ml-react-app-template-master\service\venv\lib\site-packages\click\core.py", line 610, in invoke
      return callback(*args, **kwargs)
    File "d:\dilipan\clg\proj\ml-react-app-template-master\service\venv\lib\site-packages\flask\cli.py", line 848, in run_command
      app = DispatchingApp(info.load_app, use_eager_loading=eager_loading)
    File "d:\dilipan\clg\proj\ml-react-app-template-master\service\venv\lib\site-packages\flask\cli.py", line 305, in __init__
      self._load_unlocked()
    File "d:\dilipan\clg\proj\ml-react-app-template-master\service\venv\lib\site-packages\flask\cli.py", line 330, in _load_unlocked
      self._app = rv = self.loader()
    File "d:\dilipan\clg\proj\ml-react-app-template-master\service\venv\lib\site-packages\flask\cli.py", line 392, in load_app
      app = locate_app(self, import_name, None, raise_if_not_found=False)
    File "d:\dilipan\clg\proj\ml-react-app-template-master\service\venv\lib\site-packages\flask\cli.py", line 240, in locate_app
      __import__(module_name)
    File "D:\dilipan\clg\proj\ML-React-App-Template-master\service\app.py", line 27, in &lt;module&gt;
    File "d:\dilipan\clg\proj\ml-react-app-template-master\service\venv\lib\site-packages\joblib\numpy_pickle.py", line 585, in load
      obj = _unpickle(fobj, filename, mmap_mode)
    File "d:\dilipan\clg\proj\ml-react-app-template-master\service\venv\lib\site-packages\joblib\numpy_pickle.py", line 504, in _unpickle
      obj = unpickler.load()
    File "c:\users\dilipan\appdata\local\programs\python\python38-32\lib\pickle.py", line 1210, in load
      dispatch[key[0]](self)
    File "c:\users\dilipan\appdata\local\programs\python\python38-32\lib\pickle.py", line 1587, in load_reduce
      stack[-1] = func(*args)
    File "sklearn\tree\_tree.pyx", line 607, in sklearn.tree._tree.Tree.__cinit__
  ValueError: Buffer dtype mismatch, expected 'SIZE_t' but got 'long long'
  </code></pre>