MLflow Projects 入門

MLflow 入門

Weston Bassler

Senior MLOps Engineer

MLflow Projects

  • 可再現的

  • 可重用的

  • 可移植的

加速生產力

1 unsplash.com
MLflow 入門

MLproject

project/
    MLproject
    train_model.py
    python_env.yaml
    requirements.txt

Github Git 儲存庫

1 github.com
MLflow 入門

MLproject 檔案

  • name:－專案名稱

  • entry_points:

    • 執行指令
    • .py 與 .sh 檔案
    • 工作流程

  • python_env:

    • Python 環境
    • python_env.yaml

YAML

1 wikipedia.org
MLflow 入門

MLproject 範例

name: salary_model

entry_points:
  main:
    command: "python train_model.py"

python_env: python_env.yaml
MLflow 入門

train_model.py

# Import libraries and modules
import mlflow
import mlflow.sklearn
import pandas as pd
from sklearn.linear_model import LinearRegression
from sklearn.model_selection import train_test_split


# Training Data
df = pd.read_csv('Salary_predict.csv')
X = df[["experience", "age", "interview_score"]]
y = df[["Salary"]]
X_train, X_test, y_train, y_test = train_test_split(X, y, train_size=0.7,random_state=0)
MLflow 入門

train_model.py

# Set Auto logging for Scikit-learn flavor
mlflow.sklearn.autolog()


# Train the model
lr = LinearRegression()
lr.fit(X_train, y_train)
MLflow 入門

python_env.yaml

python: 3.10.8

build_dependencies:
- pip
- setuptools
- wheel

dependencies:
- -r requirements.txt
MLflow 入門

requirements.txt

mlflow
scikit-learn
MLflow 入門

一起來練習吧！

MLflow 入門

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