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I am trying to deploy a python2.7 application on google app engine. It uses few modules like numpy,flask,pandas and scikit-learn. Though I am able to install and use other modules. Installing scikit-learn in lib folder of project give following error:-
Traceback (most recent call last): File "/base/data/home/runtimes/python27/python27_lib/versions/1/google/appengine/runtime/wsgi.py", line 240, in Handle handler = _config_handle.add_wsgi_middleware(self._LoadHandler()) File "/base/data/home/runtimes/python27/python27_lib/versions/1/google/appengine/runtime/wsgi.py", line 299, in _LoadHandler handler, path, err = LoadObject(self._handler) File "/base/data/home/runtimes/python27/python27_lib/versions/1/google/appengine/runtime/wsgi.py", line 85, in LoadObject obj = __import__(path[0]) File "/base/data/home/apps/s~category-prediction-1247/v1.391344087004233892/deploynew.py", line 6, in import sklearn File "/base/data/home/apps/s~category-prediction-1247/v1.391344087004233892/lib/sklearn/__init__.py", line 56, in from . import __check_build File "/base/data/home/apps/s~category-prediction-1247/v1.391344087004233892/lib/sklearn/__check_build/__init__.py", line 46, in raise_build_error(e) File "/base/data/home/apps/s~category-prediction-1247/v1.391344087004233892/lib/sklearn/__check_build/__init__.py", line 41, in raise_build_error %s""" % (e, local_dir, ''.join(dir_content).strip(), msg)) ImportError: dynamic module does not define init function (init_check_build) ___________________________________________________________________________ Contents of /base/data/home/apps/s~category-prediction-1247/v1.391344087004233892/lib/sklearn/__check_build: setup.pyc __init__.py _check_build.so setup.py __init__.pyc ___________________________________________________________________________ It seems that scikit-learn has not been built correctly. If you have installed scikit-learn from source, please do not forget to build the package before using it: run python setup.py install or make in the source directory. If you have used an installer, please check that it is suited for your Python version, your operating system and your platform.
Is their any way of using scikit-learn on google app engine?
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Scikit-Learn provides models for precisely this situation, in the sklearn. dummy sub-module. If the end-goal is to serve predictions via a web API, then the next step is to develop the server and deploy it into a production environment.
What is scikit-learn or sklearn? Scikit-learn is probably the most useful library for machine learning in Python. The sklearn library contains a lot of efficient tools for machine learning and statistical modeling including classification, regression, clustering and dimensionality reduction.
To use Google's tools for your own site or app, you need to create a new project on Google Cloud Platform. This requires having a Google account. Go to the App Engine dashboard on the Google Cloud Platform Console and press the Create button.
Scikit-learn can now be used on App Engine Flexible Environment.
sklearn just needs to be specified as a dependency in the requirements.txt file.
See this repo for a code sample on how to serve a sklearn model on App Engine.
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