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add pre-commit to dev req, docs update (#130)
* added SSL documentation and RTD PR preview * fixed docs warnings * excluding docs from pre-commit * pre-commit fix * pre-commit req and doc changes
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## Layers | ||
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::: pytorch_tabular.models.common.layers.AddNorm | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.models.common.layers.Embedding1dLayer | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.models.common.layers.Embedding2dLayer | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.models.common.layers.Lambda | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.models.common.layers.ModuleWithInit | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.models.common.layers.MultiHeadedAttention | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.models.common.layers.PositionWiseFeedForward | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.models.common.layers.PreEncoded1dLayer | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.models.common.layers.Residual | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.models.common.layers.SharedEmbeddings | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.models.common.layers.TransformerEncoderBlock | ||
options: | ||
heading_level: 3 | ||
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## Activations | ||
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::: pytorch_tabular.models.common.activations.Entmax15Function | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.models.common.activations.Entmoid15 | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.models.common.activations.GEGLU | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.models.common.activations.PositionWiseFeedForward | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.models.common.activations.ReGLU | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.models.common.activations.SparsemaxFunction | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.models.common.activations.SwiGLU | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.models.common.activations.entmax15 | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.models.common.activations.entmoid15 | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.models.common.activations.sparsemax | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.models.common.activations.sparsemoid | ||
options: | ||
heading_level: 3 |
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# Configurations | ||
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## Core Configuration | ||
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::: pytorch_tabular.config.DataConfig | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.config.ModelConfig | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.config.SSLModelConfig | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.config.TrainerConfig | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.config.ExperimentConfig | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.config.OptimizerConfig | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.config.ExperimentRunManager | ||
options: | ||
heading_level: 3 | ||
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## Head Configuration | ||
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In addition to these core classes, we also have config classes for heads | ||
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::: pytorch_tabular.models.common.heads.LinearHeadConfig | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.models.common.heads.MixtureDensityHeadConfig | ||
options: | ||
heading_level: 3 |
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# Core Classes | ||
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::: pytorch_tabular.TabularModel | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.TabularDatamodule | ||
options: | ||
heading_level: 3 |
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## Configuration Classes | ||
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::: pytorch_tabular.models.common.heads.LinearHeadConfig | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.models.common.heads.MixtureDensityHeadConfig | ||
options: | ||
heading_level: 3 | ||
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## Head Classes | ||
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::: pytorch_tabular.models.common.heads.LinearHead | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.models.common.heads.MixtureDensityHead | ||
options: | ||
heading_level: 3 |
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## Configuration Classes | ||
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::: pytorch_tabular.models.AutoIntConfig | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.models.CategoryEmbeddingModelConfig | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.models.FTTransformerConfig | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.models.GatedAdditiveTreeEnsembleConfig | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.models.MDNConfig | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.models.NodeConfig | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.models.TabNetModelConfig | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.models.TabTransformerConfig | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.config.ModelConfig | ||
options: | ||
heading_level: 3 | ||
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## Model Classes | ||
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::: pytorch_tabular.models.AutoIntModel | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.models.CategoryEmbeddingModel | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.models.FTTransformerModel | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.models.GatedAdditiveTreeEnsembleModel | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.models.MDNModel | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.models.NODEModel | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.models.TabNetModel | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.models.TabTransformerModel | ||
options: | ||
heading_level: 3 | ||
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## Base Model Class | ||
::: pytorch_tabular.models.BaseModel | ||
options: | ||
heading_level: 3 |
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## Configuration Classes | ||
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::: pytorch_tabular.ssl_models.DenoisingAutoEncoderConfig | ||
options: | ||
heading_level: 3 | ||
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## Model Classes | ||
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::: pytorch_tabular.ssl_models.DenoisingAutoEncoderModel | ||
options: | ||
heading_level: 3 | ||
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## Base Model Class | ||
::: pytorch_tabular.ssl_models.SSLBaseModel | ||
options: | ||
heading_level: 3 |
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# Utilities | ||
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## Special Feature Classes | ||
::: pytorch_tabular.CategoricalEmbeddingTransformer | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.DeepFeatureExtractor | ||
options: | ||
heading_level: 3 | ||
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## Miscllaneous Utilities | ||
::: pytorch_tabular.utils._initialize_layers | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.utils._linear_dropout_bn | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.utils._make_smooth_weights_for_balanced_classes | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.utils.get_balanced_sampler | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.utils.get_class_weighted_cross_entropy | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.utils.get_gaussian_centers | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.utils.getattr_nested | ||
options: | ||
heading_level: 3 | ||
::: pytorch_tabular.utils.ifnone | ||
options: | ||
heading_level: 3 |
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## Development Lead | ||
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- Manu Joseph <[email protected]> | ||
- [Manu Joseph](https://github.com/manujosephv) | Email: [[email protected]](mailto:[email protected]) | [LinkedIn](https://linkedin.com/in/in/manujosephv) | [Twitter](https://twitter.com/manujosephv) | [Blog](https://github.com/manujosephv/manujosephv/blob/main/https:/deep-and-shallow.com/feed) | ||
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## Contributors | ||
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None yet. Why not be the first? | ||
- [Jirka Borovec](https://github.com/Borda) | ||
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