iavaq/TaxiFareModel

Data analysis

• Document here the project: TaxiFareModel
• 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 TaxiFareModel in gitlab.com/{group}. If your project is not set please add it:

• Create a new project on gitlab.com/{group}/TaxiFareModel
• Then populate it:

##   e.g. if group is "{group}" and project_name is "TaxiFareModel"
git remote add origin git@github.com:{group}/TaxiFareModel.git
git push -u origin master
git push -u origin --tags

Functionnal test with a script:

cd
mkdir tmp
cd tmp
TaxiFareModel-run

Install

Go to https://github.com/{group}/TaxiFareModel 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 git@github.com:{group}/TaxiFareModel.git
cd TaxiFareModel
pip install -r requirements.txt
make clean install test                # install and test

Functionnal test with a script:

cd
mkdir tmp
cd tmp
TaxiFareModel-run