computing drifts...
[0:apply]:
---------------------------------------------------------------------------NameError Traceback (most recent call last) in ()
c:\users\wettsteinm\appdata\local\continuum\anaconda3\lib\site-packages\ipyparallel\client\remotefunction.py in (f, sequences)
248 if _mapping:
249 if sys.version_info[0] >= 3:
--> 250 f = lambda f, sequences: list(map(f, *sequences))
251 else:
252 f = map
c:\users\wettsteinm\appdata\local\continuum\anaconda3\lib\site-packages\mlbox\preprocessing\drift\drift_threshold.py in sync_fit(df_train, df_test, estimator, n_folds, stratify, random_state)
46
47 # We will compute the indices of the CV in each thread
---> 48 de = DriftEstimator(estimator, n_folds, stratify, random_state)
49 de.fit(df_train, df_test)
50
NameError: name 'DriftEstimator' is not defined
[1:apply]:
---------------------------------------------------------------------------NameError Traceback (most recent call last) in ()
c:\users\wettsteinm\appdata\local\continuum\anaconda3\lib\site-packages\ipyparallel\client\remotefunction.py in (f, sequences)
248 if _mapping:
249 if sys.version_info[0] >= 3:
--> 250 f = lambda f, sequences: list(map(f, *sequences))
251 else:
252 f = map
c:\users\wettsteinm\appdata\local\continuum\anaconda3\lib\site-packages\mlbox\preprocessing\drift\drift_threshold.py in sync_fit(df_train, df_test, estimator, n_folds, stratify, random_state)
46
47 # We will compute the indices of the CV in each thread
---> 48 de = DriftEstimator(estimator, n_folds, stratify, random_state)
49 de.fit(df_train, df_test)
50
NameError: name 'DriftEstimator' is not defined
[2:apply]:
---------------------------------------------------------------------------NameError Traceback (most recent call last) in ()
c:\users\wettsteinm\appdata\local\continuum\anaconda3\lib\site-packages\ipyparallel\client\remotefunction.py in (f, sequences)
248 if _mapping:
249 if sys.version_info[0] >= 3:
--> 250 f = lambda f, sequences: list(map(f, *sequences))
251 else:
252 f = map
c:\users\wettsteinm\appdata\local\continuum\anaconda3\lib\site-packages\mlbox\preprocessing\drift\drift_threshold.py in sync_fit(df_train, df_test, estimator, n_folds, stratify, random_state)
46
47 # We will compute the indices of the CV in each thread
---> 48 de = DriftEstimator(estimator, n_folds, stratify, random_state)
49 de.fit(df_train, df_test)
50
NameError: name 'DriftEstimator' is not defined
[3:apply]:
---------------------------------------------------------------------------NameError Traceback (most recent call last) in ()
c:\users\wettsteinm\appdata\local\continuum\anaconda3\lib\site-packages\ipyparallel\client\remotefunction.py in (f, sequences)
248 if _mapping:
249 if sys.version_info[0] >= 3:
--> 250 f = lambda f, sequences: list(map(f, *sequences))
251 else:
252 f = map
c:\users\wettsteinm\appdata\local\continuum\anaconda3\lib\site-packages\mlbox\preprocessing\drift\drift_threshold.py in sync_fit(df_train, df_test, estimator, n_folds, stratify, random_state)
46
47 # We will compute the indices of the CV in each thread
---> 48 de = DriftEstimator(estimator, n_folds, stratify, random_state)
49 de.fit(df_train, df_test)
50
NameError: name 'DriftEstimator' is not defined
When computing drifts (Jupyter Notebook, MLBox 0.4.4) using the notebook in the classification example
dft = Drift_thresholder()
df = dft.fit_transform(df)
I get a name error: