Cross-validation in Parallel
How can I use Metaflow to train a model for each cross validation fold?
How can I use Metaflow to train a model for each cross validation fold?
I want to do a grid search with Metaflow. How can I use ParameterGrid and GridSearchCV with Metaflow?
How can I reuse my model code in training and prediction flows?
How do I scale model training and hyperparameter tuning to GPUs with Metaflow?
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!
How do I build and fit a Keras model in a Metaflow flow?
I have an Optuna process for hyperparameter tuning and want to structure it in a Metaflow flow.
How do I build and fit a PyTorch model in a Metaflow flow?
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?
How can I build and fit an XGBoost model in a Metaflow flow?
Versioning code is standard practice in all software domains. What new versioning considerations are relevant when building machine learning models?