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AutoGluon 1.6.1 documentation
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Get Started

  • Install
  • Tabular Quick Start
  • Time Series Quick Start
  • Multimodal Quick Start

Tutorials

  • Tabular
    • Essentials
    • In Depth
    • Foundational Models
    • How It Works
    • Feature Engineering
    • Tabular + Text + Images
    • Advanced
      • Multilabel
      • Kaggle
      • GPU
      • Custom Metrics
      • Custom Models
      • Custom Models Advanced
      • Deployment
      • Hyperparameter Optimization
  • Time Series
    • Quick Start
    • In Depth
    • Forecasting with Chronos-2
    • Metrics
    • Model Zoo
      • Forecasting Models
      • Ensemble Models
    • Advanced
      • Custom Models
  • Multimodal
    • Multimodal Prediction
      • AutoMM for Image + Text + Tabular - Quick Start
      • AutoMM for Entity Extraction with Text and Image - Quick Start
      • AutoMM for Text + Tabular - Quick Start
    • Object Detection
      • Object Detection Quick Start
        • AutoMM Detection - Quick Start on a Tiny COCO Format Dataset
      • Object Detection Advanced
        • AutoMM Detection - Finetune on COCO Format Dataset with Customized Settings
      • Object Detection Data Preparation
        • Convert Data to COCO Format
        • AutoMM Detection - Prepare Pothole Dataset
        • AutoMM Detection - Prepare Watercolor Dataset
        • AutoMM Detection - Prepare COCO2017 Dataset
        • AutoMM Detection - Prepare Pascal VOC Dataset
        • AutoMM Detection - Convert VOC Format Dataset to COCO Format
    • Image Prediction
      • AutoMM for Image Classification - Quick Start
      • Zero-Shot Image Classification with CLIP
    • Image Segmentation
      • AutoMM for Semantic Segmentation - Quick Start
    • Text Prediction
      • AutoMM for Text - Quick Start
      • AutoMM for Named Entity Recognition - Quick Start
      • AutoMM for Named Entity Recognition in Chinese - Quick Start
      • AutoMM for Text - Multilingual Problems
    • Document Prediction
      • AutoMM for Scanned Document Classification
      • Classifying PDF Documents with AutoMM
    • Semantic Matching
      • Image-to-Image Semantic Matching with AutoMM
      • Image-Text Semantic Matching with AutoMM
      • Text-to-Text Semantic Matching with AutoMM
      • Text Semantic Search with AutoMM
      • Image-Text Semantic Matching with AutoMM - Zero-Shot
    • Advanced Topics
      • AutoMM Problem Types And Metrics
      • Hyperparameter Optimization in AutoMM
      • Continuous Training with AutoMM
      • Customize AutoMM
      • Knowledge Distillation in AutoMM
      • Single GPU Billion-scale Model Training via Parameter-Efficient Finetuning
      • Few Shot Learning with AutoMM
      • Handling Class Imbalance with AutoMM - Focal Loss
      • AutoMM Presets
      • Faster Prediction with TensorRT
      • Multiple Label Columns with AutoMM
  • Cloud

Resources

  • Cheat Sheets
  • Versions
  • What's New
    • Version 1.5.0
    • Version 1.4.0
    • Version 1.3.1
    • Version 1.3.0
    • Version 1.2.0
    • Version 1.1.1
    • Version 1.1.0
    • Version 1.0.0
    • Version 0.8.3
    • Version 0.8.2
    • Version 0.8.1
    • Version 0.8.0
    • Version 0.7.0
    • Version 0.6.2
    • Version 0.6.1
    • Version 0.6.0
    • Version 0.5.2
    • Version 0.5.1
    • Version 0.4.3
    • Version 0.4.2
    • Version 0.4.1
    • Version 0.4.0
  • GitHub
  • Tabular FAQ
  • Time Series FAQ
  • Multimodal FAQ

API

  • Tabular
    • TabularPredictor
      • calibrate_decision_threshold
      • clone
      • clone_for_deployment
      • compile
      • delete_models
      • disk_usage
      • disk_usage_per_file
      • distill
      • evaluate
      • evaluate_predictions
      • feature_importance
      • features
      • fit
      • fit_extra
      • fit_pseudolabel
      • fit_summary
      • fit_weighted_ensemble
      • info
      • leaderboard
      • learning_curves
      • load
      • load_data_internal
      • load_log
      • model_failures
      • model_hyperparameters
      • model_info
      • model_names
      • model_refit_map
      • persist
      • plot_ensemble_model
      • predict
      • predict_from_proba
      • predict_multi
      • predict_oof
      • predict_proba
      • predict_proba_multi
      • predict_proba_oof
      • refit_full
      • save
      • save_space
      • set_decision_threshold
      • set_model_best
      • simulation_artifact
      • transform_features
      • transform_labels
      • unpersist
    • TabularDataset
      • load
      • save
    • Tabular Models
  • Time Series
    • TimeSeriesPredictor
      • backtest_predictions
      • backtest_targets
      • evaluate
      • export_model
      • feature_importance
      • fit
      • fit_summary
      • info
      • leaderboard
      • load
      • make_future_data_frame
      • model_names
      • persist
      • plot
      • predict
      • refit_full
      • save
      • unpersist
      • update
    • TimeSeriesDataFrame
      • convert_frequency
      • copy
      • dropna
      • fill_missing_values
      • from_data_frame
      • from_iterable_dataset
      • from_path
      • from_pickle
      • get_model_inputs_for_scoring
      • infer_frequency
      • num_timesteps_per_item
      • slice_by_time
      • slice_by_timestep
      • split_by_time
      • to_data_frame
      • train_test_split
  • Multimodal
    • MultiModalPredictor
      • dump_model
      • evaluate
      • export_onnx
      • extract_embedding
      • fit
      • fit_summary
      • get_num_gpus
      • list_supported_models
      • load
      • optimize_for_inference
      • predict
      • predict_proba
      • save
      • set_num_gpus
      • set_verbosity
  • Utilities
    • FeatureMetadata
      • add_special_types
      • from_df
      • get_feature_type_raw
      • get_feature_types_special
      • get_features
      • get_type_group_map_raw
      • get_type_group_map_special_from_type_map_special
      • get_type_map_special
      • join_metadata
      • join_metadatas
      • keep_features
      • print_feature_metadata_full
      • remove_features
      • rename_features
      • to_dict
      • verify_data
      • verify_data_subset
      • verify_data_superset
    • Feature Generators
    • Search Spaces
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Available Documentation for AutoGluonΒΆ

Web-based documentation is available for the versions listed below:

  • Upcoming release (in development)

  • Latest stable release

  • Previous releases:

    • AutoGluon 1.5

    • AutoGluon 1.4

    • AutoGluon 1.3

    • AutoGluon 1.2

    • AutoGluon 1.1

    • AutoGluon 1.0

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