Logging artifacts and models in MLOps - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to log a model artifact using MLflow.

MLOps

import mlflow
mlflow.[1].log_model(model, "model")

Drag options to blanks, or click blank then click option'

Alog

Btracking

Cmodels

Dpyfunc

Attempts:

3 left

💡 Hint

Common Mistakes

Using mlflow.log instead of mlflow.pyfunc.log_model

Trying to log model directly without specifying the module

Use mlflow.pyfunc.log_model to log a model artifact in MLflow.

2fill in blank

medium

Complete the code to log an artifact file in MLflow.

MLOps

with mlflow.start_run():
    mlflow.[1]("output.txt")

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Atracking

Blog

Clog_artifact

Dmodels

Attempts:

3 left

💡 Hint

Common Mistakes

Using mlflow.log_param instead of mlflow.log_artifact

Trying to log artifact outside a run context

Use mlflow.log_artifact to log files as artifacts.

3fill in blank

hard

Fix the error in the code to log a model with MLflow.

MLOps

mlflow.[1].log_model(model, "model")

Drag options to blanks, or click blank then click option'

Asklearn

Bmodels

Cpyfunc

Dartifacts

Attempts:

3 left

💡 Hint

Common Mistakes

Calling mlflow.log_model directly without module

Using mlflow.artifacts to log models

Use mlflow.sklearn.log_model to log scikit-learn models properly.

4fill in blank

hard

Fill both blanks to log a model and an artifact inside a run.

MLOps

with mlflow.[1]():
    mlflow.sklearn.[2](model, "model")

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Astart_run

Blog_model

Clog_artifact

Dend_run

Attempts:

3 left

💡 Hint

Common Mistakes

Not starting a run before logging

Using log_artifact to log models

Use mlflow.start_run() to start a run and mlflow.sklearn.log_model to log the model.

5fill in blank

hard

Fill all three blanks to log a model, an artifact, and end the run properly.

MLOps

mlflow.[1]()
mlflow.sklearn.[2](model, "model")
mlflow.[3]("output.txt")

Drag options to blanks, or click blank then click option'

Astart_run

Blog_model

Clog_artifact

Dend_run

Attempts:

3 left

💡 Hint

Common Mistakes

Logging without starting a run

Confusing log_model and log_artifact methods

Start the run with start_run(), log the model and artifact, then end the run if needed.