kandi X-RAY | mlworkshop Summary
kandi X-RAY | mlworkshop Summary
mlworkshop is a Python library. mlworkshop has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
mlworkshop
mlworkshop
Support
Quality
Security
License
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Support
mlworkshop has a low active ecosystem.
It has 1 star(s) with 1 fork(s). There are 3 watchers for this library.
It had no major release in the last 6 months.
mlworkshop has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of mlworkshop is current.
Quality
mlworkshop has no bugs reported.
Security
mlworkshop has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
mlworkshop does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
mlworkshop releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Installation instructions are available. Examples and code snippets are not available.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of mlworkshop
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of mlworkshop
mlworkshop Key Features
No Key Features are available at this moment for mlworkshop.
mlworkshop Examples and Code Snippets
No Code Snippets are available at this moment for mlworkshop.
Community Discussions
No Community Discussions are available at this moment for mlworkshop.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install mlworkshop
Clone the project into a local working directory: git clone https://github.com/lightstrike/mlworkshop.git
Create a python3 virtual environment. Vanilla virtualenv inside the project directory: virtualenv -p python3 venv Using virtualenvwrapper: mkvirtualenv mlworkshop
Install all project Python packages: pip install -r requirements.txt
Create the Django database: python manage.py migrate
Create a superuser to access the admin: python manage.py createsuperuser
Run the development server: python manage.py runserver
Go to http://localhost:8000 and http://localhost:8000/admin to start exploring. Remember to upload a valid CSV file.
Create a python3 virtual environment. Vanilla virtualenv inside the project directory: virtualenv -p python3 venv Using virtualenvwrapper: mkvirtualenv mlworkshop
Install all project Python packages: pip install -r requirements.txt
Create the Django database: python manage.py migrate
Create a superuser to access the admin: python manage.py createsuperuser
Run the development server: python manage.py runserver
Go to http://localhost:8000 and http://localhost:8000/admin to start exploring. Remember to upload a valid CSV file.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
Find more information at:
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