Hi,
Thanks, this solution fixed the issue. However, it introduces a new error,
which was not there before.
Traceback (most recent call last):
File
"C:\Users\ASUS\PycharmProjects\swelltest\venv\lib\site-packages\sklearn\utils\__init__.py",
line 425, in _get_column_indices
all_columns = X.columns
AttributeError: 'numpy.ndarray' object has no attribute 'columns'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "<input>", line 1, in <module>
File "C:\Program Files\JetBrains\PyCharm
2020.1.1\plugins\python\helpers\pydev\_pydev_bundle\pydev_umd.py", line
197, in runfile
pydev_imports.execfile(filename, global_vars, local_vars) # execute
the script
File "C:\Program Files\JetBrains\PyCharm
2020.1.1\plugins\python\helpers\pydev\_pydev_imps\_pydev_execfile.py", line
18, in execfile
exec(compile(contents+"\n", file, 'exec'), glob, loc)
File "C:/Users/ASUS/PycharmProjects/swelltest/enemble.py", line 127, in
<module>
ens.fit(x_train,y_train)
File
"C:\Users\ASUS\PycharmProjects\swelltest\venv\lib\site-packages\sklearn\ensemble\_voting.py",
line 265, in fit
return super().fit(X, transformed_y, sample_weight)
File
"C:\Users\ASUS\PycharmProjects\swelltest\venv\lib\site-packages\sklearn\ensemble\_voting.py",
line 81, in fit
for idx, clf in enumerate(clfs) if clf not in (None, 'drop')
File
"C:\Users\ASUS\PycharmProjects\swelltest\venv\lib\site-packages\joblib\parallel.py",
line 1029, in __call__
if self.dispatch_one_batch(iterator):
File
"C:\Users\ASUS\PycharmProjects\swelltest\venv\lib\site-packages\joblib\parallel.py",
line 847, in dispatch_one_batch
self._dispatch(tasks)
File
"C:\Users\ASUS\PycharmProjects\swelltest\venv\lib\site-packages\joblib\parallel.py",
line 765, in _dispatch
job = self._backend.apply_async(batch, callback=cb)
File
"C:\Users\ASUS\PycharmProjects\swelltest\venv\lib\site-packages\joblib\_parallel_backends.py",
line 206, in apply_async
result = ImmediateResult(func)
File
"C:\Users\ASUS\PycharmProjects\swelltest\venv\lib\site-packages\joblib\_parallel_backends.py",
line 570, in __init__
self.results = batch()
File
"C:\Users\ASUS\PycharmProjects\swelltest\venv\lib\site-packages\joblib\parallel.py",
line 253, in __call__
for func, args, kwargs in self.items]
File
"C:\Users\ASUS\PycharmProjects\swelltest\venv\lib\site-packages\joblib\parallel.py",
line 253, in <listcomp>
for func, args, kwargs in self.items]
File
"C:\Users\ASUS\PycharmProjects\swelltest\venv\lib\site-packages\sklearn\ensemble\_base.py",
line 40, in _fit_single_estimator
estimator.fit(X, y)
File
"C:\Users\ASUS\PycharmProjects\swelltest\venv\lib\site-packages\sklearn\pipeline.py",
line 330, in fit
Xt = self._fit(X, y, **fit_params_steps)
File
"C:\Users\ASUS\PycharmProjects\swelltest\venv\lib\site-packages\sklearn\pipeline.py",
line 296, in _fit
**fit_params_steps[name])
File
"C:\Users\ASUS\PycharmProjects\swelltest\venv\lib\site-packages\joblib\memory.py",
line 352, in __call__
return self.func(*args, **kwargs)
File
"C:\Users\ASUS\PycharmProjects\swelltest\venv\lib\site-packages\sklearn\pipeline.py",
line 740, in _fit_transform_one
res = transformer.fit_transform(X, y, **fit_params)
File
"C:\Users\ASUS\PycharmProjects\swelltest\venv\lib\site-packages\sklearn\compose\_column_transformer.py",
line 529, in fit_transform
self._validate_remainder(X)
File
"C:\Users\ASUS\PycharmProjects\swelltest\venv\lib\site-packages\sklearn\compose\_column_transformer.py",
line 327, in _validate_remainder
cols.extend(_get_column_indices(X, columns))
File
"C:\Users\ASUS\PycharmProjects\swelltest\venv\lib\site-packages\sklearn\utils\__init__.py",
line 427, in _get_column_indices
raise ValueError("Specifying the columns using strings is only "
ValueError: Specifying the columns using strings is only supported for
pandas DataFrames
Thanks
On Fri, May 29, 2020 at 7:33 PM Thomas J Fan <thomasjp...@gmail.com> wrote:
> VotingClassifer also needs names:
>
> ens = VotingClassifier(estimators=[('pipe1', pipe_phy), ('pipe2',
> pipe_fa)])
>
> Thomas
>
> On Friday, May 29, 2020 at 2:33 AM, Chamila Wijayarathna <
> cdwijayarat...@gmail.com> wrote:
> Hi all,
>
> I did manage to get the code to run using a workaround, which is bit ugly.
>
> Following is the complete stacktrace of the error I was receiving.
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
> *Traceback (most recent call last): File "<input>", line 1, in <module>
> File "C:\Program Files\JetBrains\PyCharm
> 2020.1.1\plugins\python\helpers\pydev\_pydev_bundle\pydev_umd.py", line
> 197, in runfile pydev_imports.execfile(filename, global_vars,
> local_vars) # execute the script File "C:\Program Files\JetBrains\PyCharm
> 2020.1.1\plugins\python\helpers\pydev\_pydev_imps\_pydev_execfile.py", line
> 18, in execfile exec(compile(contents+"\n", file, 'exec'), glob, loc)
> File "C:/Users/ASUS/PycharmProjects/swelltest/enemble.py", line 112, in
> <module> ens.fit(x_train,y_train) File
> "C:\Users\ASUS\PycharmProjects\swelltest\venv\lib\site-packages\sklearn\ensemble\_voting.py",
> line 265, in fit return super().fit(X, transformed_y, sample_weight)
> File
> "C:\Users\ASUS\PycharmProjects\swelltest\venv\lib\site-packages\sklearn\ensemble\_voting.py",
> line 65, in fit names, clfs = self._validate_estimators() File
> "C:\Users\ASUS\PycharmProjects\swelltest\venv\lib\site-packages\sklearn\ensemble\_base.py",
> line 228, in _validate_estimators self._validate_names(names) File
> "C:\Users\ASUS\PycharmProjects\swelltest\venv\lib\site-packages\sklearn\utils\metaestimators.py",
> line 77, in _validate_names invalid_names = [name for name in names if
> '__' in name] File
> "C:\Users\ASUS\PycharmProjects\swelltest\venv\lib\site-packages\sklearn\utils\metaestimators.py",
> line 77, in <listcomp> invalid_names = [name for name in names if '__'
> in name]TypeError: argument of type 'ColumnTransformer' is not iterable*
>
> Following are the inputs in 'names' list at the time of the error.
>
> 1-
> *ColumnTransformer(transformers=[('phy', Pipeline(steps=[('imputer',
> SimpleImputer(strategy='median')), ('scaler', StandardScaler())]), ['HR',
> 'RMSSD', 'SCL'])])2-
> ColumnTransformer(transformers=[('fa',Pipeline(steps=[('imputer',SimpleImputer(strategy='median')),('scaler',
> StandardScaler())]),['Squality', 'Sneutral', 'Shappy'])])*
>
> Seems like that the library is attempting to search for '__' substring of
> the ColumnTransform object, which it is unable to perform.
>
> Since this name check doesn't have a signiticant effect on my
> functionality, I commented following snippet at
> *sklearn\utils\metaestimators.py.*
>
>
>
>
> *invalid_names = [name for name in names if '__' in name]if
> invalid_names: raise ValueError('Estimator names must not contain __:
> got ' '{0!r}'.format(invalid_names))*
>
> Please let me know if there is a better workaround or that their are any
> issues of commenting out this code.
>
> Thanks
>
> On Fri, May 29, 2020 at 10:33 AM Chamila Wijayarathna <
> cdwijayarat...@gmail.com> wrote:
>
>> Hello all,
>>
>> I hope I am writing to the correct mailing list about this issue that I
>> am having. Please apologize me if I am not.
>>
>> I am attempting to use a pipeline to feed an ensemble voting classifier
>> as I want the ensemble learner to use models that train on different
>> feature sets. For this purpose, I followed the tutorial available at [1].
>>
>> Following is the code that I could develop so far.
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>> *y = df1.indexx = preprocessing.scale(df1)phy_features = ['A', 'B',
>> 'C']phy_transformer = Pipeline(steps=[('imputer',
>> SimpleImputer(strategy='median')), ('scaler',
>> StandardScaler())])phy_processer = ColumnTransformer(transformers=[('phy',
>> phy_transformer, phy_features)])fa_features = ['D', 'E', 'F']fa_transformer
>> = Pipeline(steps=[('imputer', SimpleImputer(strategy='median')), ('scaler',
>> StandardScaler())])fa_processer = ColumnTransformer(transformers=[('fa',
>> fa_transformer, fa_features)])pipe_phy = Pipeline(steps=[('preprocessor',
>> phy_processer ),('classifier', SVM)])pipe_fa =
>> Pipeline(steps=[('preprocessor', fa_processer ),('classifier', SVM)])ens =
>> VotingClassifier(estimators=[pipe_phy, pipe_fa])cv = KFold(n_splits=10,
>> random_state=None, shuffle=True)for train_index, test_index in
>> cv.split(x): x_train, x_test = x[train_index], x[test_index] y_train,
>> y_test = y[train_index], y[test_index] ens.fit(x_train,y_train)
>> print(ens.score(x_test, y_test))*
>>
>> However, when running the code, I am getting an error saying *TypeError:
>> argument of type 'ColumnTransformer' is not iterable*, at the line
>> *ens.fit(x_train,y_train).*
>>
>> What is the reason for this and how can I fix it?
>>
>> Thank you,
>> Chamila
>>
>
>
> --
> Chamila Dilshan Wijayarathna,
> PhD Research Student
> The University of New South Wales (UNSW Canberra)
> Australian Centre for Cyber Security
> Australian Defence Force Academy
> PO Box 7916, Canberra BA ACT 2610
> Australia
> Mobile:(+61)416895795
>
> _______________________________________________
> scikit-learn mailing list
> scikit-learn@python.org
> https://mail.python.org/mailman/listinfo/scikit-learn
>
> _______________________________________________
> scikit-learn mailing list
> scikit-learn@python.org
> https://mail.python.org/mailman/listinfo/scikit-learn
>
--
Chamila Dilshan Wijayarathna,
PhD Research Student
The University of New South Wales (UNSW Canberra)
Australian Centre for Cyber Security
Australian Defence Force Academy
PO Box 7916, Canberra BA ACT 2610
Australia
Mobile:(+61)416895795
_______________________________________________
scikit-learn mailing list
scikit-learn@python.org
https://mail.python.org/mailman/listinfo/scikit-learn
