Paste the command(s) you ran and the output.
If there was a crash, please include the traceback here.

prep_pipe1 = Pipeline([
    ('features', FeatureUnion([
        ('continuous', Pipeline([
            ('extract', ColumnExtractor(CONTINUOUS_FIELDS)),
            ('drop missing threshold', OverMissingThresholdDropper(.5)), 
            ('remove too many same', SingleValueAboveThresholdDropper(threshold=.99)),
            ('impute missing by X', GroupByImputer(impute_type='median', group='x')),
            ('impute missing by Y', GroupByImputer(impute_type='median', group='y')),
            ('impute missing by Z', GroupByImputer(impute_type='median', group='z')),
            ('drop column', ColumnDropper(['x', 'y', 'z'])),
            ('impute missing overall', GroupByImputer(impute_type='median')),
            ('standardization', StandardScaler()),
            ('clean column names', ColumnNameCleaner())
        ])),                                       
        ('factors', Pipeline([
            ('extract', ColumnExtractor(FACTOR_FIELDS)),  
            ('drop missing threshold', OverMissingThresholdDropper(.6)), 
            ('drop single value', SingleValueDropper()), 
            ('missing value filler', MissingValueFiller('0Missing')),
            ('remove too many same', SingleValueAboveThresholdDropper(threshold=.99)),#change from 0.999 to 0.99
            ('replace values', ValueReplacer(inverse_mapper=inverse_map)),
            ('limit factor', FactorLimiter(factors_per_column=factors_per_col)),
            ('convert to dummies', DummyCreator(drop_first=True)),
            ('clean column names', ColumnNameCleaner())
        ])) ])),
    ])
df_transform = prep_pipe1.fit_transform(data)

/opt/conda/lib/python3.6/site-packages/sklearn/pipeline.py in _fit_transform_one(transformer, X, y, weight, message_clsname, message, **fit_params)
    714     with _print_elapsed_time(message_clsname, message):
    715         if hasattr(transformer, 'fit_transform'):
--> 716             res = transformer.fit_transform(X, y, **fit_params)
    717         else:
    718             res = transformer.fit(X, y, **fit_params).transform(X)

TypeError: fit_transform() takes 2 positional arguments but 3 were given

concurrent.futures.process._RemoteTraceback: 
"""
Traceback (most recent call last):
  File "/usr/local/lib/python3.6/concurrent/futures/process.py", line 175, in _process_worker
    r = call_item.fn(*call_item.args, **call_item.kwargs)
  File "/usr/local/lib/python3.6/concurrent/futures/process.py", line 153, in _process_chunk
    return [fn(*args) for args in chunk]
  File "/usr/local/lib/python3.6/concurrent/futures/process.py", line 153, in <listcomp>
    return [fn(*args) for args in chunk]
  File "/usr/local/lib/python3.6/site-packages/sklearn/pipeline.py", line 426, in _transform
    Xt = transform.transform(Xt)
  File "/usr/local/lib/python3.6/site-packages/sktutor/pipeline.py", line 70, in transform
    for name, trans, weight in self._iter())
  File "/usr/local/lib/python3.6/site-packages/joblib/parallel.py", line 779, in __call__
    while self.dispatch_one_batch(iterator):
  File "/usr/local/lib/python3.6/site-packages/joblib/parallel.py", line 625, in dispatch_one_batch
    self._dispatch(tasks)
  File "/usr/local/lib/python3.6/site-packages/joblib/parallel.py", line 588, in _dispatch
    job = self._backend.apply_async(batch, callback=cb)
  File "/usr/local/lib/python3.6/site-packages/joblib/_parallel_backends.py", line 111, in apply_async
    result = ImmediateResult(func)
  File "/usr/local/lib/python3.6/site-packages/joblib/_parallel_backends.py", line 332, in __init__
    self.results = batch()
  File "/usr/local/lib/python3.6/site-packages/joblib/parallel.py", line 131, in __call__
    return [func(*args, **kwargs) for func, args, kwargs in self.items]
  File "/usr/local/lib/python3.6/site-packages/joblib/parallel.py", line 131, in <listcomp>
    return [func(*args, **kwargs) for func, args, kwargs in self.items]
TypeError: _transform_one() got an unexpected keyword argument 'transforme'
"""

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/usr/local/lib/python3.6/concurrent/futures/process.py", line 366, in _chain_from_iterable_of_lists
    for element in iterable:
  File "/usr/local/lib/python3.6/concurrent/futures/_base.py", line 586, in result_iterator
    yield fs.pop().result()
  File "/usr/local/lib/python3.6/concurrent/futures/_base.py", line 425, in result
    return self.__get_result()
  File "/usr/local/lib/python3.6/concurrent/futures/_base.py", line 384, in __get_result
    raise self._exception
TypeError: _transform_one() got an unexpected keyword argument 'transforme'
ERROR: Job failed: command terminated with exit code 1