Hi I am trying to use incremental from dask. My code is simple and following the existing example. My code is below. But I got error when it calls inc.fit and the error is "AttributeError: module 'dask' has no attribute 'sharedict'". I am using dask 1.1.1 and dask_ml 0.11.0

``

from dask.distributed import Client
client = Client()

import dask

import dask.dataframe as dd
import dask.array as da

df = dd.read_csv('BreastCancer.csv')
X = df.drop(['Id','Class','Bare.nuclei'],axis=1)
y = df['Class']=='benign'

from dask_ml.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(X.to_dask_array(True), y.to_dask_array(True))

X_train, X_test, y_train, y_test = dask.persist(X_train, X_test, y_train, y_test)
classes = da.unique(y_train).compute()

from sklearn.linear_model import SGDClassifier
est = SGDClassifier(loss='log', penalty='l2', tol=1e-3)

from dask_ml.wrappers import Incremental
inc = Incremental(est, scoring='accuracy')

inc.fit(X_train, y_train, classes=classes)
``

The error is
`AttributeError Traceback (most recent call last)
in
25 inc = Incremental(est, scoring='accuracy')
26
---> 27 inc.fit(X_train, y_train, classes=classes)

/mnt/d/PI.X/py3.5_venv/lib/python3.5/site-packages/dask_ml/wrappers.py in fit(self, X, y, **
fit_kwargs)
462 def fit(self, X, y=None, **fit_kwargs):
463 estimator = sklearn.base.clone(self.estimator)
--> 464 self._fit_for_estimator(estimator, X, y, **fit_kwargs)
465 return self
466

/mnt/d/PI.X/py3.5_venv/lib/python3.5/site-packages/dask_ml/wrappers.py in _fit_f(self, estim
ator, X, y, **fit_kwargs)
453 random_state=self.random_state,
454 shuffle_blocks=self.shuffle_blocks,
--> 455 **fit_kwargs
456 )
457

/mnt/d/PI.X/py3.5_venv/lib/python3.5/site-packages/dask_ml/_partial.py in fit(model, x, y, c
ompute, shuffle_blocks, random_state, **kwargs)
195 )
196
--> 197 new_dsk = dask.sharedict.merge((name, dsk), x.dask, getattr(y, "dask", {}))
198 value = Delayed((name, nblocks - 1), new_dsk)
199

AttributeError: module 'dask' has no attribute 'sharedict'
`