Giới thiệu về MLflow Projects

Giới thiệu về MLflow

Weston Bassler

Senior MLOps Engineer

MLflow Projects

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Tăng tốc năng suất

¹ unsplash.com

MLproject

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

¹ github.com

Tệp MLproject

name: - Tên Project
entry_points:
- Lệnh chạy
- Tệp .py và .sh
- Quy trình làm việc
python_env:
- Môi trường Python
- python_env.yaml

YAML

¹ wikipedia.org

Ví dụ MLproject

name: salary_model

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

python_env: python_env.yaml

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)

train_model.py

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


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

python_env.yaml

python: 3.10.8

build_dependencies:
- pip
- setuptools
- wheel

dependencies:
- -r requirements.txt

requirements.txt

mlflow
scikit-learn

Ayo berlatih!

Giới thiệu về MLflow