LiuYuWei / service-lightgbm-mlflow

service-lightgbm-mlflow

service-lightgbm-mlflow

service-lightgbm-mlflow

kaggle-titanic

Kaggle competition on titanic prediction In this project, we want to training titanic classification data

To-Do

• Add data etl pipeline into project.
• Add training pipeline into project.
• Add evaluate pipeline into project.

Get started

1. If windows.

## Step 1: Add PROJECT_PATH to your environment
$ setx /m PROJECT_PATH <PROJECT_PATH>

## Step 2: Install the python package
#### CPU version
$ pip install -r requirements.txt

## Step 3: Change the config yaml file.

## Step 4: Run the service pipeline.
$ python main.py

## Step 5: mlflow record data ui
$ mlflow ui

Version, author and other information:

• See the relation information in setup file.

License

• See License file here.