PipelineAI Quick Start (CPU + GPU)

Train and Deploy your ML and AI Models in the Following Environments:

• Hosted Community Edition
• Docker
• Kubernetes
• AWS SageMaker

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• Troubleshooting Guide

Cloning MLflow

Clone MLflow repo at https://github.com/mlflow/mlflow

Installing MLflow

Install mlflow via pip install mlflow

Requirements

Python 3.6 (tensorflow is currently unsupported by Python 3.7)

Install tensorflow via pip install tensorflow

Install keras via pip install keras

Install PIL via pip install pillow

Running Example

mlflow run example/flower_classifier --no-conda

Launching UI

The MLflow Tracking UI will run at http://localhost:5000. Start it with:

mlflow ui

Note: mlflow ui will not run from within the cloned repo.