Welcome to ml-grid’s documentation!
This is the documentation for the ml-grid project, a framework for binary classification using grid search and hyperparameter optimization.
Contents:
- Getting Started
- API Reference
- core
- ml_grid
- filters
- plot_master
- plot_features
- plot_timeline
- plot_algorithms
- plot_best_model
- plot_interactions
- summarize_results
- plot_distributions
- CNNClassifier_module
- FCNClassifier_module
- MLPClassifier_module
- plot_hyperparameters
- MUSEClassifier_module
- plot_global_importance
- ResNetClassifier_module
- TapNetClassifier_module
- Catch22Classifer_module
- rocketClassifier_module
- plot_feature_categories
- SummaryClassifier_module
- EncoderClassifier_module
- ArsenalClassifier_module
- TSFreshClassifier_module
- plot_pipeline_parameters
- shapeDTWClassifier_module
- SignatureClassifier_module
- OrdinalTDEClassifier_module
- HIVECOTEV1Classifier_module
- HIVECOTEV2Classifier_module
- FreshPRINCEClassifier_module
- InceptionTimeClassifer_module
- InidividualTDEClassifier_module
- elasticEnsembleClassifier_module
- ContractableBOSSClassifier_module
- IndividualInceptionClassifier_module
- KNeighborsTimeSeriesClassifier_module
- TemporalDictionaryEnsembleClassifier_module