|
1 | | -.. -*- mode: rst -*- |
2 | | -
|
3 | | -.. currentmodule:: mambular.models |
4 | | - |
5 | | -Models |
6 | | -====== |
7 | | - |
8 | | -This module provides classes for the Mambular models that adhere to scikit-learn's `BaseEstimator` interface. |
9 | | - |
10 | | -======================================= ======================================================================================================= |
11 | | -Modules Description |
12 | | -======================================= ======================================================================================================= |
13 | | -:class:`MambularClassifier` Multi-class and binary classification tasks. |
14 | | -:class:`MambularRegressor` Regression tasks. |
15 | | -:class:`MambularLSS` Various statistical distribution families for different types of regression and classification tasks. |
16 | | -:class:`FTTransformerClassifier` FT transformer for classification tasks. |
17 | | -:class:`FTTransformerRegressor` FT transformer for regression tasks. |
18 | | -:class:`FTTransformerLSS` Various statistical distribution families for different types of regression and classification tasks. |
19 | | -:class:`MLPClassifier` Multi-class and binary classification tasks. |
20 | | -:class:`MLPRegressor` MLP for regression tasks. |
21 | | -:class:`MLPLSS` Various statistical distribution families for different types of regression and classification tasks. |
22 | | -:class:`TabTransformerClassifier` TabTransformer for classification tasks. |
23 | | -:class:`TabTransformerRegressor` TabTransformer for regression tasks. |
24 | | -:class:`TabTransformerLSS` TabTransformer for distributional tasks. |
25 | | -:class:`ResNetClassifier` Multi-class and binary classification tasks using ResNet. |
26 | | -:class:`ResNetRegressor` Regression tasks using ResNet. |
27 | | -:class:`ResNetLSS` Distributional tasks using ResNet. |
28 | | -:class:`SklearnBaseClassifier` Base class for classification tasks. |
29 | | -:class:`SklearnBaseLSS` Base class for distributional tasks. |
30 | | -:class:`SklearnBaseRegressor` Base class for regression tasks. |
31 | | -======================================= ======================================================================================================= |
32 | | - |
33 | | -.. toctree:: |
34 | | - :maxdepth: 1 |
35 | | - |
36 | | - Models |
37 | | - |
| 1 | +.. -*- mode: rst -*- |
| 2 | +
|
| 3 | +.. currentmodule:: mambular.models |
| 4 | + |
| 5 | +Models |
| 6 | +====== |
| 7 | + |
| 8 | +This module provides classes for the Mambular models that adhere to scikit-learn's `BaseEstimator` interface. |
| 9 | + |
| 10 | +======================================= ======================================================================================================= |
| 11 | +Modules Description |
| 12 | +======================================= ======================================================================================================= |
| 13 | +:class:`MambularClassifier` Multi-class and binary classification tasks with a sequential Mambular Model. |
| 14 | +:class:`MambularRegressor` Regression tasks with a sequential Mambular Model. |
| 15 | +:class:`MambularLSS` Various statistical distribution families for different types of regression and classification tasks. |
| 16 | +:class:`FTTransformerClassifier` FT transformer for classification tasks. |
| 17 | +:class:`FTTransformerRegressor` FT transformer for regression tasks. |
| 18 | +:class:`FTTransformerLSS` Various statistical distribution families for different types of regression and classification tasks. |
| 19 | +:class:`MLPClassifier` Multi-class and binary classification tasks. |
| 20 | +:class:`MLPRegressor` MLP for regression tasks. |
| 21 | +:class:`MLPLSS` Various statistical distribution families for different types of regression and classification tasks. |
| 22 | +:class:`TabTransformerClassifier` TabTransformer for classification tasks. |
| 23 | +:class:`TabTransformerRegressor` TabTransformer for regression tasks. |
| 24 | +:class:`TabTransformerLSS` TabTransformer for distributional tasks. |
| 25 | +:class:`ResNetClassifier` Multi-class and binary classification tasks using ResNet. |
| 26 | +:class:`ResNetRegressor` Regression tasks using ResNet. |
| 27 | +:class:`ResNetLSS` Distributional tasks using ResNet. |
| 28 | +:class:`MambaTabClassifier` Multi-class and binary classification tasks using MambaTab. |
| 29 | +:class:`MambaTabRegressor` Regression tasks using MambaTab. |
| 30 | +:class:`MambaTabLSS` Distributional tasks using MambaTab. |
| 31 | +:class:`TabulaRNNClassifier` Multi-class and binary classification tasks using a RNN. |
| 32 | +:class:`TabulaRNNRegressor` Regression tasks using a RNN. |
| 33 | +:class:`TabulaRNNLSS` Distributional tasks using a RNN. |
| 34 | +:class:`SklearnBaseClassifier` Base class for classification tasks. |
| 35 | +:class:`SklearnBaseLSS` Base class for distributional tasks. |
| 36 | +:class:`SklearnBaseRegressor` Base class for regression tasks. |
| 37 | +======================================= ======================================================================================================= |
| 38 | + |
| 39 | +.. toctree:: |
| 40 | + :maxdepth: 1 |
| 41 | + |
| 42 | + Models |
| 43 | + |
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