alteryx / automated-manual-comparison Goto Github PK

app_types = {}

# Handle the Boolean variables:
for col in app:
    if (app[col].nunique() == 2) and (app[col].dtype == float):
        app_types[col] = vtypes.Boolean

# Remove the `TARGET`
del app_types['TARGET']

print('There are {} Boolean variables in the application data.'.format(len(app_types)))

tornado.application - ERROR - Exception in callback <bound method BokehTornado._keep_alive of <bokeh.server.tornado.BokehTornado object at 0x7f9488d69d68>>
Traceback (most recent call last):
  File "/home/lili/anaconda3/lib/python3.6/site-packages/tornado/ioloop.py", line 1208, in _run
    self._next_timeout = self.io_loop.time()
  File "/home/lili/anaconda3/lib/python3.6/site-packages/bokeh/server/tornado.py", line 514, in _keep_alive
    c.send_ping()
  File "/home/lili/anaconda3/lib/python3.6/site-packages/bokeh/server/connection.py", line 46, in send_ping
    self._socket.ping(codecs.encode(str(self._ping_count), "utf-8"))
  File "/home/lili/anaconda3/lib/python3.6/site-packages/tornado/websocket.py", line 367, in ping
    self.ws_connection.write_ping(data)
  File "/home/lili/anaconda3/lib/python3.6/site-packages/tornado/websocket.py", line 882, in write_ping
    self._write_frame(True, 0x9, data)
  File "/home/lili/anaconda3/lib/python3.6/site-packages/tornado/websocket.py", line 846, in _write_frame
    return self.stream.write(frame)
  File "/home/lili/anaconda3/lib/python3.6/site-packages/tornado/iostream.py", line 525, in write
    future = self._set_read_callback(callback)
  File "/home/lili/anaconda3/lib/python3.6/site-packages/tornado/iostream.py", line 1058, in _check_closed
    size = 128 * 1024
tornado.iostream.StreamClosedError: Stream is closed
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-34-82e469b60feb> in <module>()
      1 overall_start = timer()
----> 2 b.compute()
      3 overall_end = timer()
      4 
      5 print(f"Total Time Elapsed: {round(overall_end - overall_start, 2)} seconds.")

~/anaconda3/lib/python3.6/site-packages/dask/base.py in compute(self, **kwargs)
    154         dask.base.compute
    155         """
--> 156         (result,) = compute(self, traverse=False, **kwargs)
    157         return result
    158 

~/anaconda3/lib/python3.6/site-packages/dask/base.py in compute(*args, **kwargs)
    393     keys = [x.__dask_keys__() for x in collections]
    394     postcomputes = [x.__dask_postcompute__() for x in collections]
--> 395     results = schedule(dsk, keys, **kwargs)
    396     return repack([f(r, *a) for r, (f, a) in zip(results, postcomputes)])
    397 

~/anaconda3/lib/python3.6/site-packages/distributed/client.py in get(self, dsk, keys, restrictions, loose_restrictions, resources, sync, asynchronous, direct, retries, priority, fifo_timeout, **kwargs)
   2198             try:
   2199                 results = self.gather(packed, asynchronous=asynchronous,
-> 2200                                       direct=direct)
   2201             finally:
   2202                 for f in futures.values():

~/anaconda3/lib/python3.6/site-packages/distributed/client.py in gather(self, futures, errors, maxsize, direct, asynchronous)
   1567             return self.sync(self._gather, futures, errors=errors,
   1568                              direct=direct, local_worker=local_worker,
-> 1569                              asynchronous=asynchronous)
   1570 
   1571     @gen.coroutine

~/anaconda3/lib/python3.6/site-packages/distributed/client.py in sync(self, func, *args, **kwargs)
    643             return future
    644         else:
--> 645             return sync(self.loop, func, *args, **kwargs)
    646 
    647     def __repr__(self):

~/anaconda3/lib/python3.6/site-packages/distributed/utils.py in sync(loop, func, *args, **kwargs)
    275             e.wait(10)
    276     if error[0]:
--> 277         six.reraise(*error[0])
    278     else:
    279         return result[0]

~/anaconda3/lib/python3.6/site-packages/six.py in reraise(tp, value, tb)
    691             if value.__traceback__ is not tb:
    692                 raise value.with_traceback(tb)
--> 693             raise value
    694         finally:
    695             value = None

~/anaconda3/lib/python3.6/site-packages/distributed/utils.py in f()
    260             if timeout is not None:
    261                 future = gen.with_timeout(timedelta(seconds=timeout), future)
--> 262             result[0] = yield future
    263         except Exception as exc:
    264             error[0] = sys.exc_info()

~/anaconda3/lib/python3.6/site-packages/tornado/gen.py in run(self)
   1097 
   1098     def set_result(self, key, result):
-> 1099         """Sets the result for ``key`` and attempts to resume the generator."""
   1100         self.results[key] = result
   1101         if self.yield_point is not None and self.yield_point.is_ready():

~/anaconda3/lib/python3.6/site-packages/tornado/gen.py in run(self)
   1105             except:
   1106                 future_set_exc_info(self.future, sys.exc_info())
-> 1107             self.yield_point = None
   1108             self.run()
   1109 

~/anaconda3/lib/python3.6/site-packages/distributed/client.py in _gather(self, futures, errors, direct, local_worker)
   1443                             six.reraise(type(exception),
   1444                                         exception,
-> 1445                                         traceback)
   1446                     if errors == 'skip':
   1447                         bad_keys.add(key)

~/anaconda3/lib/python3.6/site-packages/six.py in reraise(tp, value, tb)
    690                 value = tp()
    691             if value.__traceback__ is not tb:
--> 692                 raise value.with_traceback(tb)
    693             raise value
    694         finally:

~/anaconda3/lib/python3.6/site-packages/dask/bag/core.py in reify()
   1547 def reify(seq):
   1548     if isinstance(seq, Iterator):
-> 1549         seq = list(seq)
   1550     if seq and isinstance(seq[0], Iterator):
   1551         seq = list(map(list, seq))

~/anaconda3/lib/python3.6/site-packages/dask/bag/core.py in map_chunk()
   1707     else:
   1708         for a in zip(*args):
-> 1709             yield f(*a)
   1710 
   1711     # Check that all iterators are fully exhausted

<ipython-input-25-75ac088d04b8> in feature_matrix_from_entityset()
     11                                                  n_jobs = 1,
     12                                                  verbose = True,
---> 13                                                  chunk_size = es['app'].df.shape[0])
     14 
     15     feature_matrix.to_csv('data/fm/p%d_fm.csv' % es_dict['num'], index = True)

~/anaconda3/lib/python3.6/site-packages/featuretools/computational_backends/calculate_feature_matrix.py in calculate_feature_matrix()
    256                                                  cutoff_df_time_var=cutoff_df_time_var,
    257                                                  target_time=target_time,
--> 258                                                  pass_columns=pass_columns)
    259 
    260     feature_matrix = pd.concat(feature_matrix)

~/anaconda3/lib/python3.6/site-packages/featuretools/computational_backends/calculate_feature_matrix.py in linear_calculate_chunks()
    518                                           cutoff_df_time_var,
    519                                           target_time, pass_columns,
--> 520                                           backend=backend)
    521         feature_matrix.append(_feature_matrix)
    522         # Do a manual garbage collection in case objects from calculate_chunk

~/anaconda3/lib/python3.6/site-packages/featuretools/computational_backends/calculate_feature_matrix.py in calculate_chunk()
    340                                            ids,
    341                                            precalculated_features=precalculated_features,
--> 342                                            training_window=window)
    343 
    344             id_name = _feature_matrix.index.name

~/anaconda3/lib/python3.6/site-packages/featuretools/computational_backends/utils.py in wrapped()
     32         def wrapped(*args, **kwargs):
     33             if save_progress is None:
---> 34                 r = method(*args, **kwargs)
     35             else:
     36                 time = args[0].to_pydatetime()

~/anaconda3/lib/python3.6/site-packages/featuretools/computational_backends/calculate_feature_matrix.py in calc_results()
    314                                                     precalculated_features=precalculated_features,
    315                                                     ignored=all_approx_feature_set,
--> 316                                                     profile=profile)
    317             return matrix
    318 

~/anaconda3/lib/python3.6/site-packages/featuretools/computational_backends/pandas_backend.py in calculate_all_features()
    194 
    195                     handler = self._feature_type_handler(test_feature)
--> 196                     result_frame = handler(group, input_frames)
    197 
    198                     output_frames_type = self.feature_tree.output_frames_type(test_feature)

~/anaconda3/lib/python3.6/site-packages/featuretools/computational_backends/pandas_backend.py in _calculate_agg_features()
    421                 funcname = func
    422                 if callable(func):
--> 423                     funcname = func.__name__
    424 
    425                 to_agg[variable_id].append(func)

AttributeError: 'functools.partial' object has no attribute '__name__'
distributed.comm.tcp - WARNING - Closing dangling stream in <TCP local=tcp://127.0.0.1:50460 remote=tcp://127.0.0.1:45867>