Cross-validation in Parallel
How can I use Metaflow to train a model for each cross validation fold?
23 docs tagged with "modeling"
View All TagsDebugging Flows
How can I train a Keras neural network inside of a Metaflow task?
Gradient Boosted Trees Flow
What is a Metaflow flow? How can you it help me operationalize an XGBoost model?
Grid Search with Metaflow
I want to do a grid search with Metaflow. How can I use ParameterGrid and GridSearchCV with Metaflow?
Interactive Visualizations with Cards
How can I visualize an image inside of a Metaflow Card to see it in notebooks and the Metaflow GUI?
Keras Neural Network Flow
How can I train a Keras neural network inside of a Metaflow task?
Natural Language Processing - Episode 2
A tutorial that uses Keras, Scikit-Learn, and Metaflow to operationalize a machine learning workflow.
Natural Language Processing - Episode 3
A tutorial that uses Keras, Scikit-Learn, and Metaflow to operationalize a machine learning workflow.
Natural Language Processing - Episode 4
A tutorial that uses Keras, Scikit-Learn, and Metaflow to operationalize a machine learning workflow.
Natural Language Processing - Episode 5
A tutorial that uses Keras, Scikit-Learn, and Metaflow to operationalize a machine learning workflow.
Nested Foreach Flows
How can I create a nested foreach structure as part of my Metaflow DAG?
Parallel Branches in Workflows
What is a Metaflow flow? How can you it help me parallelize model training?
Random Forest Flow
What is a Metaflow flow? How can you it help me operationalize a Random Forest model?
Reuse Model Object
How can I reuse model code in training and prediction flows?
Scale Model Training and Tuning to GPU
How do I scale model training and hyperparameter tuning to GPUs with Metaflow?
The Difference between Random Forests and Boosted Trees
Random forests and boosted trees are some of the most popular and performant machine learning models. We wrote this post to provide guidance on when to use them!
Tracking Results
What is a Metaflow flow? How can I inspect results of a flow after it is done running?
Use Keras with Metaflow
How do I build and fit a Keras model in a Metaflow flow?
Use Optuna with Metaflow
I have an Optuna process for hyperparameter tuning and want to structure it in a Metaflow flow.
Use PyTorch with Metaflow
How do I build and fit a PyTorch model in a Metaflow flow?
Use Scikit-learn with Metaflow
I have a Scikit-learn workflow that I want to incorporate into a Metaflow flow. How can I include model fitting, prediction, feature transformations, and other capabilities enabled by Scikit-learn in flow steps?
Use XGBoost with Metaflow
How can I build and fit an XGBoost model in a Metaflow flow?
Versioning Code and Models
Versioning code is standard practice in all software domains. What new versioning considerations are relevant when building machine learning models?