Cloud Forecast 제품 비교

GCP / AZURE / AWS

비교해 봅시다.

도움이 되셨나요 ^^?

With Ubuntu

Configurate python environment

#Update apt 
sudo apt update

#Install python 3.6
sudo apt install software-properties-common
sudo add-apt-repository ppa:deadsnakes/ppa
sudo apt update
sudo apt install python3.6

#Set default python version
sudo update-alternatives --config python3
sudo update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.6 2

sudo update-alternatives --config python
sudo update-alternatives --install /usr/bin/python python /usr/bin/python3.6 2

#Install pip virtualenv
curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py
python get-pip.py
sudo pip install virtualenv

Clone this repogitory

sudo apt-get install git
git clone https://github.com/MZCloudnoa/MakeAutoML.git

Activate new environment and install pakege

cd MakeAutoML
virtualenv --python=python3 .env
source .env/bin/activate
pip install -r requirements.txt

Make config dir and service account file

mkdir config
vi [**project id**]-service-account.json

Make data file (To be updated……)

gsutil -m cp -r \
  "gs://makeautoml/data/" \
  .

Set expriment configuration using json file

........

Run (To be updated…..)

python main.py