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Stable Version Documentation
API
Installation
Tutorials
Github
Other Versions Documentation
Table Of Contents
Tabular Prediction
Predicting Columns in a Table - Quick Start
Predicting Columns in a Table - In Depth
How to use AutoGluon for Kaggle competitions
Multimodal Data Tables: Tabular, Text, and Image
Multimodal Data Tables: Combining BERT/Transformers and Classical Tabular Models
Interpretable rule-based modeling
Training models with GPU support
Predicting Multiple Columns in a Table (Multi-Label Prediction)
Adding a custom model to AutoGluon
Functionality Reference Implementation
Adding a custom model to AutoGluon (Advanced)
Adding a custom metric to AutoGluon
Feature Engineering
FAQ
Multimodal Prediction
AutoMM for Text - Quick Start
AutoMM for Image Classification - Quick Start
AutoMM for Text - Multilingual Problems
AutoMM for Text + Tabular - Quick Start
AutoMM for Multimodal - Quick Start
CLIP in AutoMM - Zero-Shot Image Classification
CLIP in AutoMM - Extract Embeddings
Customize AutoMM
Image Prediction
Image Prediction - Properly load any image dataset as ImageDataset
Image Prediction - Quick Start
Image Prediction - Search Space and Hyperparameter Optimization (HPO)
Object Detection
Object Detection - Prepare Dataset for Object Detector
Object Detection - Quick Start
Text Prediction
Text Prediction - Quick Start
Text Prediction - Customization
Text Prediction - Solving Multilingual Problems
Time Series Forecasting
Forecasting Time Series - Quick Start
FAQ - Time Series
Cloud Training and Deployment
Cloud Training with AWS SageMaker
Deploying AutoGluon Models with AWS SageMaker
Deploying AutoGluon models with serverless templates
Cheat Sheet
AutoGluon Predictors
autogluon.features
autogluon.tabular.models
Table Of Contents
Tabular Prediction
Predicting Columns in a Table - Quick Start
Predicting Columns in a Table - In Depth
How to use AutoGluon for Kaggle competitions
Multimodal Data Tables: Tabular, Text, and Image
Multimodal Data Tables: Combining BERT/Transformers and Classical Tabular Models
Interpretable rule-based modeling
Training models with GPU support
Predicting Multiple Columns in a Table (Multi-Label Prediction)
Adding a custom model to AutoGluon
Functionality Reference Implementation
Adding a custom model to AutoGluon (Advanced)
Adding a custom metric to AutoGluon
Feature Engineering
FAQ
Multimodal Prediction
AutoMM for Text - Quick Start
AutoMM for Image Classification - Quick Start
AutoMM for Text - Multilingual Problems
AutoMM for Text + Tabular - Quick Start
AutoMM for Multimodal - Quick Start
CLIP in AutoMM - Zero-Shot Image Classification
CLIP in AutoMM - Extract Embeddings
Customize AutoMM
Image Prediction
Image Prediction - Properly load any image dataset as ImageDataset
Image Prediction - Quick Start
Image Prediction - Search Space and Hyperparameter Optimization (HPO)
Object Detection
Object Detection - Prepare Dataset for Object Detector
Object Detection - Quick Start
Text Prediction
Text Prediction - Quick Start
Text Prediction - Customization
Text Prediction - Solving Multilingual Problems
Time Series Forecasting
Forecasting Time Series - Quick Start
FAQ - Time Series
Cloud Training and Deployment
Cloud Training with AWS SageMaker
Deploying AutoGluon Models with AWS SageMaker
Deploying AutoGluon models with serverless templates
Cheat Sheet
AutoGluon Predictors
autogluon.features
autogluon.tabular.models
Index
A
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B
|
C
|
D
|
E
|
F
|
G
|
H
|
I
|
J
|
K
|
L
|
M
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N
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O
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P
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R
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S
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T
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U
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V
|
W
|
X
A
AbstractFeatureGenerator (class in autogluon.features.generators)
AbstractModel (class in autogluon.tabular.models)
add_special_types() (autogluon.common.features.feature_metadata.FeatureMetadata method)
AsTypeFeatureGenerator (class in autogluon.features.generators)
autogluon.common.features.feature_metadata
module
autogluon.core.models
module
autogluon.features.generators
module
autogluon.multimodal
module
,
[1]
autogluon.tabular
module
,
[1]
,
[2]
autogluon.tabular.models
module
,
[1]
autogluon.text
module
,
[1]
autogluon.timeseries
module
,
[1]
,
[2]
autogluon.vision
module
,
[1]
,
[2]
AutoMLPipelineFeatureGenerator (class in autogluon.features.generators)
B
BaggedEnsembleModel (class in autogluon.core.models)
BinnedFeatureGenerator (class in autogluon.features.generators)
BulkFeatureGenerator (class in autogluon.features.generators)
C
can_fit() (autogluon.tabular.models.AbstractModel method)
can_infer() (autogluon.tabular.models.AbstractModel method)
CatBoostModel (class in autogluon.tabular.models)
CategoryFeatureGenerator (class in autogluon.features.generators)
CategoryMemoryMinimizeFeatureGenerator (class in autogluon.features.generators)
class_labels() (autogluon.multimodal.MultiModalPredictor property)
class_labels_internal() (autogluon.text.TextPredictor property)
class_labels_internal_map() (autogluon.text.TextPredictor property)
convert_to_refit_full_template() (autogluon.tabular.models.AbstractModel method)
convert_to_refit_full_via_copy() (autogluon.tabular.models.AbstractModel method)
convert_to_template() (autogluon.tabular.models.AbstractModel method)
D
Dataset (autogluon.tabular.TabularPredictor attribute)
(autogluon.vision.ImagePredictor attribute)
(autogluon.vision.ObjectDetector attribute)
DatetimeFeatureGenerator (class in autogluon.features.generators)
delete_from_disk() (autogluon.tabular.models.AbstractModel method)
delete_models() (autogluon.tabular.TabularPredictor method)
distill() (autogluon.tabular.TabularPredictor method)
DropDuplicatesFeatureGenerator (class in autogluon.features.generators)
DropUniqueFeatureGenerator (class in autogluon.features.generators)
DummyFeatureGenerator (class in autogluon.features.generators)
E
estimate_memory_usage() (autogluon.tabular.models.AbstractModel method)
evaluate() (autogluon.multimodal.MultiModalPredictor method)
(autogluon.tabular.TabularPredictor method)
(autogluon.text.TextPredictor method)
(autogluon.timeseries.TimeSeriesPredictor method)
(autogluon.vision.ImagePredictor method)
(autogluon.vision.ObjectDetector method)
evaluate_predictions() (autogluon.tabular.TabularPredictor method)
explain_classification_errors() (autogluon.tabular.TabularPredictor method)
extract_embedding() (autogluon.multimodal.MultiModalPredictor method)
(autogluon.text.TextPredictor method)
F
FastTextModel (class in autogluon.tabular.models)
feature_importance() (autogluon.tabular.TabularPredictor method)
FeatureMetadata (class in autogluon.common.features.feature_metadata)
features() (autogluon.tabular.TabularPredictor method)
FillNaFeatureGenerator (class in autogluon.features.generators)
fit() (autogluon.features.generators.AbstractFeatureGenerator method)
(autogluon.multimodal.MultiModalPredictor method)
(autogluon.tabular.models.AbstractModel method)
(autogluon.tabular.TabularPredictor method)
(autogluon.text.TextPredictor method)
(autogluon.timeseries.TimeSeriesPredictor method)
(autogluon.vision.ImagePredictor method)
(autogluon.vision.ObjectDetector method)
fit_extra() (autogluon.tabular.TabularPredictor method)
fit_pseudolabel() (autogluon.tabular.TabularPredictor method)
fit_summary() (autogluon.tabular.TabularPredictor method)
(autogluon.timeseries.TimeSeriesPredictor method)
(autogluon.vision.ImagePredictor method)
(autogluon.vision.ObjectDetector method)
fit_transform() (autogluon.features.generators.AbstractFeatureGenerator method)
fit_weighted_ensemble() (autogluon.tabular.TabularPredictor method)
from_data_frame() (autogluon.timeseries.TimeSeriesDataFrame class method)
from_df() (autogluon.common.features.feature_metadata.FeatureMetadata class method)
from_iterable_dataset() (autogluon.timeseries.TimeSeriesDataFrame class method)
from_pickle() (autogluon.timeseries.TimeSeriesDataFrame class method)
G
get_feature_links() (autogluon.features.generators.AbstractFeatureGenerator method)
get_feature_links_chain() (autogluon.features.generators.AbstractFeatureGenerator method)
get_features() (autogluon.common.features.feature_metadata.FeatureMetadata method)
get_fit_metadata() (autogluon.tabular.models.AbstractModel method)
get_info() (autogluon.tabular.models.AbstractModel method)
get_minimum_resources() (autogluon.tabular.models.AbstractModel method)
get_model_best() (autogluon.tabular.TabularPredictor method)
(autogluon.timeseries.TimeSeriesPredictor method)
get_model_full_dict() (autogluon.tabular.TabularPredictor method)
get_model_names() (autogluon.tabular.TabularPredictor method)
(autogluon.timeseries.TimeSeriesPredictor method)
get_model_names_persisted() (autogluon.tabular.TabularPredictor method)
get_oof_pred() (autogluon.tabular.TabularPredictor method)
get_oof_pred_proba() (autogluon.tabular.TabularPredictor method)
get_params() (autogluon.tabular.models.AbstractModel method)
get_tags() (autogluon.features.generators.AbstractFeatureGenerator method)
get_trained_params() (autogluon.tabular.models.AbstractModel method)
H
hyperparameter_tune() (autogluon.tabular.models.AbstractModel method)
I
IdentityFeatureGenerator (class in autogluon.features.generators)
ImagePredictor (class in autogluon.vision)
ImagePredictorModel (class in autogluon.tabular.models)
info() (autogluon.tabular.TabularPredictor method)
(autogluon.timeseries.TimeSeriesPredictor method)
interpretable_models_summary() (autogluon.tabular.TabularPredictor method)
is_fit() (autogluon.tabular.models.AbstractModel method)
is_initialized() (autogluon.tabular.models.AbstractModel method)
is_valid() (autogluon.tabular.models.AbstractModel method)
is_valid_metadata_in() (autogluon.features.generators.AbstractFeatureGenerator method)
J
join_metadata() (autogluon.common.features.feature_metadata.FeatureMetadata method)
K
keep_features() (autogluon.common.features.feature_metadata.FeatureMetadata method)
KNNModel (class in autogluon.tabular.models)
L
LabelEncoderFeatureGenerator (class in autogluon.features.generators)
leaderboard() (autogluon.tabular.TabularPredictor method)
(autogluon.timeseries.TimeSeriesPredictor method)
LGBModel (class in autogluon.tabular.models)
LinearModel (class in autogluon.tabular.models)
list_models() (autogluon.vision.ImagePredictor class method)
load() (autogluon.multimodal.MultiModalPredictor class method)
(autogluon.tabular.models.AbstractModel class method)
(autogluon.tabular.TabularPredictor class method)
(autogluon.text.TextPredictor static method)
(autogluon.timeseries.TimeSeriesPredictor class method)
(autogluon.vision.ImagePredictor class method)
(autogluon.vision.ObjectDetector class method)
load_data_internal() (autogluon.tabular.TabularPredictor method)
M
module
autogluon.common.features.feature_metadata
autogluon.core.models
autogluon.features.generators
autogluon.multimodal
,
[1]
autogluon.tabular
,
[1]
,
[2]
autogluon.tabular.models
,
[1]
autogluon.text
,
[1]
autogluon.timeseries
,
[1]
,
[2]
autogluon.vision
,
[1]
,
[2]
MultiModalPredictor (class in autogluon.multimodal)
N
NNFastAiTabularModel (class in autogluon.tabular.models)
NumericMemoryMinimizeFeatureGenerator (class in autogluon.features.generators)
O
ObjectDetector (class in autogluon.vision)
P
persist_models() (autogluon.tabular.TabularPredictor method)
PipelineFeatureGenerator (class in autogluon.features.generators)
plot_ensemble_model() (autogluon.tabular.TabularPredictor method)
positive_class() (autogluon.multimodal.MultiModalPredictor property)
(autogluon.tabular.TabularPredictor property)
predict() (autogluon.multimodal.MultiModalPredictor method)
(autogluon.tabular.models.AbstractModel method)
(autogluon.tabular.TabularPredictor method)
(autogluon.text.TextPredictor method)
(autogluon.timeseries.TimeSeriesPredictor method)
(autogluon.vision.ImagePredictor method)
(autogluon.vision.ObjectDetector method)
predict_feature() (autogluon.vision.ImagePredictor method)
predict_proba() (autogluon.multimodal.MultiModalPredictor method)
(autogluon.tabular.models.AbstractModel method)
(autogluon.tabular.TabularPredictor method)
(autogluon.text.TextPredictor method)
(autogluon.vision.ImagePredictor method)
preprocess() (autogluon.tabular.models.AbstractModel method)
print_feature_metadata_info() (autogluon.features.generators.AbstractFeatureGenerator method)
print_generator_info() (autogluon.features.generators.AbstractFeatureGenerator method)
print_interpretable_rules() (autogluon.tabular.TabularPredictor method)
R
reduce_memory_size() (autogluon.tabular.models.AbstractModel method)
refit_full() (autogluon.tabular.TabularPredictor method)
remove_features() (autogluon.common.features.feature_metadata.FeatureMetadata method)
rename() (autogluon.tabular.models.AbstractModel method)
rename_features() (autogluon.common.features.feature_metadata.FeatureMetadata method)
RenameFeatureGenerator (class in autogluon.features.generators)
RFModel (class in autogluon.tabular.models)
S
save() (autogluon.multimodal.MultiModalPredictor method)
(autogluon.tabular.models.AbstractModel method)
(autogluon.tabular.TabularPredictor method)
(autogluon.text.TextPredictor method)
(autogluon.timeseries.TimeSeriesPredictor method)
(autogluon.vision.ImagePredictor method)
(autogluon.vision.ObjectDetector method)
save_space() (autogluon.tabular.TabularPredictor method)
score() (autogluon.timeseries.TimeSeriesPredictor method)
set_model_best() (autogluon.tabular.TabularPredictor method)
set_verbosity() (autogluon.multimodal.MultiModalPredictor method)
slice_by_timestep() (autogluon.timeseries.TimeSeriesDataFrame method)
split_by_item() (autogluon.timeseries.TimeSeriesDataFrame method)
split_by_time() (autogluon.timeseries.TimeSeriesDataFrame method)
StackerEnsembleModel (class in autogluon.core.models)
subsequence() (autogluon.timeseries.TimeSeriesDataFrame method)
T
TabularDataset (class in autogluon.tabular)
TabularNeuralNetMxnetModel (class in autogluon.tabular.models)
TabularNeuralNetTorchModel (class in autogluon.tabular.models)
TabularPredictor (class in autogluon.tabular)
TextNgramFeatureGenerator (class in autogluon.features.generators)
TextPredictor (class in autogluon.text)
TextPredictorModel (class in autogluon.tabular.models)
TextSpecialFeatureGenerator (class in autogluon.features.generators)
TimeSeriesDataFrame (class in autogluon.timeseries)
TimeSeriesPredictor (class in autogluon.timeseries)
transform() (autogluon.features.generators.AbstractFeatureGenerator method)
transform_features() (autogluon.tabular.TabularPredictor method)
transform_labels() (autogluon.tabular.TabularPredictor method)
U
unpersist_models() (autogluon.tabular.TabularPredictor method)
V
validate_fit_resources() (autogluon.tabular.models.AbstractModel method)
VowpalWabbitModel (class in autogluon.tabular.models)
W
WeightedEnsembleModel (class in autogluon.core.models)
X
XGBoostModel (class in autogluon.tabular.models)
XTModel (class in autogluon.tabular.models)