Hello Last few days i am trying to run one script for creating the Modal for machine learning. but I am not able to install the Turicreate package in Pycharm editor.
I follow these steps to run the script.
- Download Python 3.7 in this link:
(https://www.python.org/downloads/) - Download the Pycharm Editor(https://www.jetbrains.com/pycharm/)
After that, I set the project interpreter in latest python3.7 and trying to install turicreate but always I got error.
Collecting turicreate Using cached https://files.pythonhosted.org/packages/db/54/167837569bcb816b3fe68f003f18d07ab9d5ac31b2b12b8f9b07b1ccc7a4/turicreate-4.2.tar.gz Building wheels for collected packages: turicreate Running setup.py bdist_wheel for turicreate: started Running setup.py bdist_wheel for turicreate: finished with status 'error' Complete output from command /Users/tikam/MLTikam1/venv/bin/python -u -c "import setuptools, tokenize;file='/private/var/folders/rh/qx_0gvzn6kzbqjvvbbh66t080000gn/T/pycharm-packaging1/turicreate/setup.py';f=getattr(tokenize, 'open', open)(file);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, file, 'exec'))" bdist_wheel -d /private/var/folders/rh/qx_0gvzn6kzbqjvvbbh66t080000gn/T/pip-wheel-qez5g2v_ --python-tag cp37: running bdist_wheel running build installing to build/bdist.macosx-10.9-x86_64/wheel running install
==================================================================================
ERROR
If you see this message, pip install did not find an available binary package
for your system. Supported platforms are:
* Linux x86_64 (including WSL on Windows 10).
* macOS 10.12+ x86_64.
* Python 2.7, 3.5, or 3.6.
Other possible causes of this error are:
* Outdated pip version (try `pip install -U pip`).
==================================================================================
Running setup.py clean for turicreate Failed to build turicreate Installing collected packages: turicreate Running setup.py install for turicreate: started Running setup.py install for turicreate: finished with status 'error' Complete output from command /Users/tikam/MLTikam1/venv/bin/python -u -c "import setuptools, tokenize;file='/private/var/folders/rh/qx_0gvzn6kzbqjvvbbh66t080000gn/T/pycharm-packaging1/turicreate/setup.py';f=getattr(tokenize, 'open', open)(file);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, file, 'exec'))" install --record /private/var/folders/rh/qx_0gvzn6kzbqjvvbbh66t080000gn/T/pip-record-kjt0p8as/install-record.txt --single-version-externally-managed --compile --install-headers /Users/tikam/MLTikam1/venv/include/site/python3.7/turicreate: running install
==================================================================================
ERROR
If you see this message, pip install did not find an available binary package
for your system. Supported platforms are:
* Linux x86_64 (including WSL on Windows 10).
* macOS 10.12+ x86_64.
* Python 2.7, 3.5, or 3.6.
Other possible causes of this error are:
* Outdated pip version (try `pip install -U pip`).
==================================================================================
----------------------------------------
Failed building wheel for turicreate Command "/Users/tikam/MLTikam1/venv/bin/python -u -c "import setuptools, tokenize;file='/private/var/folders/rh/qx_0gvzn6kzbqjvvbbh66t080000gn/T/pycharm-packaging1/turicreate/setup.py';f=getattr(tokenize, 'open', open)(file);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, file, 'exec'))" install --record /private/var/folders/rh/qx_0gvzn6kzbqjvvbbh66t080000gn/T/pip-record-kjt0p8as/install-record.txt --single-version-externally-managed --compile --install-headers /Users/tikam/MLTikam1/venv/include/site/python3.7/turicreate" failed with error code 1 in /private/var/folders/rh/qx_0gvzn6kzbqjvvbbh66t080000gn/T/pycharm-packaging1/turicreate/
Please suggest what step i need to follow to install the turicreat package.
I want to run this script:
Script **************
import turicreate as tc
data = tc.SFrame('photoLabel.sframe')
model = tc.image_classifier.create(data, target='photoLabel')
predictions = model.predict(data)
model.export_coreml('MyClassifier.mlmodel')