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16 pages
mle-mlops
[ Chapter 4. Model API ] 3) Docker with model
[ Chapter 4. Model API ] 2) Write Data to DB
[ Chapter 4. Model API ] 1) API with Model
[ Chapter 3. API ] 5) Build FastAPI Docker
[ Chapter 3. API ] 4) FastAPI with Postgresql
[ Chapter 3. API ] 3) FastAPI CRUD with Pydantic
[ Chapter 3. API ] 2) FastAPI CRUD
![[ Chapter 3. API ] 2) FastAPI CRUD](/post/mle-mlops/api/crud/swagger_hu806f617f489afbb18745e1785b82877e_94517_120x120_fill_box_smart1_3.png)
[ Chapter 2. Model Registry ] 4) Download Model from MLFlow
[ Chapter 2. Model Registry ] 3) Train Model and Save to MLFlow
![[ Chapter 2. Model Registry ] 3) Train Model and Save to MLFlow](/post/mle-mlops/model_registry/train_save_model/run_hu8d915c21553f04f6ea76560c746482be_1308795_120x120_fill_box_smart1_3.png)