fastai.callback.early stopping

GPTKB entity

Predicate	Object
gptkbp:instance_of	gptkb:Footballer
gptkbp:analyzes	training curves
gptkbp:applies_to	classification tasks regression tasks
gptkbp:benefits	large datasets
gptkbp:can_be_extended_by	subclassing
gptkbp:can_be_used_with	gptkb:Educational_Institution other callbacks
gptkbp:has_feature	Stop training when a monitored metric has stopped improving.
gptkbp:has_method	gptkb:video_game gptkb:technology patience min_delta
https://www.w3.org/2000/01/rdf-schema#label	fastai.callback.early stopping
gptkbp:is_compatible_with	gptkb:fastai_version_2.0 gptkb:Py_Torch
gptkbp:is_documented_in	API reference fastai documentation
gptkbp:is_implemented_in	gptkb:Library callbacks API
gptkbp:is_influenced_by	learning rate
gptkbp:is_optimized_for	gptkb:benchmark
gptkbp:is_part_of	gptkb:fastai_v2 training strategies fastai library fastai callbacks training loop
gptkbp:is_related_to	model evaluation model training model convergence
gptkbp:is_supported_by	community contributions fastai community
gptkbp:is_tested_for	unit tests real-world datasets
gptkbp:is_used_by	data scientists machine learning practitioners
gptkbp:is_used_for	preventing overfitting
gptkbp:is_used_in	transfer learning Kaggle competitions deep learning training
gptkbp:is_utilized_in	neural network training
gptkbp:part_of	gptkb:fastai
gptkbp:requires	validation data
gptkbp:setting	custom metrics user-defined parameters
gptkbp:tuning	hyperparameter optimization
gptkbp:bfsParent	gptkb:fastai.collab
gptkbp:bfsLayer	6