Data analysis
- Document here the project: MLproject
- Description: Project Description
- Data Source:
- Type of analysis:
Please document the project the better you can.
Startup the project
The initial setup.
Create virtualenv and install the project:
sudo apt-get install virtualenv python-pip python-dev
deactivate; virtualenv ~/venv ; source ~/venv/bin/activate ;\
pip install pip -U; pip install -r requirements.txt
Unittest test:
make clean install test
Check for MLproject in gitlab.com/{group}. If your project is not set please add it:
- Create a new project on
gitlab.com/{group}/MLproject - Then populate it:
## e.g. if group is "{group}" and project_name is "MLproject"
git remote add origin [email protected]:{group}/MLproject.git
git push -u origin master
git push -u origin --tags
Functionnal test with a script:
cd
mkdir tmp
cd tmp
MLproject-run
Install
Go to https://github.com/{group}/MLproject to see the project, manage issues, setup you ssh public key, ...
Create a python3 virtualenv and activate it:
sudo apt-get install virtualenv python-pip python-dev
deactivate; virtualenv -ppython3 ~/venv ; source ~/venv/bin/activate
Clone the project and install it:
git clone [email protected]:{group}/MLproject.git
cd MLproject
pip install -r requirements.txt
make clean install test # install and test
Functionnal test with a script:
cd
mkdir tmp
cd tmp
MLproject-run
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