machine learningΒΆ models Abstract Class How to Use Initializing a Model Fitting a model Predicting with a fitted model Computing metrics SklearnModel Key Features Example XGBoostModel Key Features Example PytorchModel Key Features Initializing Training Validation metrics (per-epoch) Fine-tuning with frozen layers Predicting Computing metrics Saving and loading Periodic checkpointing during training TensorflowModel Key Features Initializing Training Validation metrics (per-epoch) Fine-tuning with frozen layers Predicting Computing metrics Saving and loading Periodic checkpointing during training Examples SklearnModel Examples GridSearch Examples HyperOpt Examples MLflow Examples PytorchModel Examples TensorflowModel Examples model selection Abstract Class How to Use Initializing GridSearchSelector Parameters HyperOptSelector Parameters Examples metrics Abstract Class How to Use Calling a metric Creating a Custom Metric (inheriting from BaseMetric) SklearnMetric TensorflowMetric