Pytorch-frame

Added

- Added `MovieLens 1M` dataset ([397](https://github.com/pyg-team/pytorch-frame/pull/397))
- Added light-weight MLP ([372](https://github.com/pyg-team/pytorch-frame/pull/372))
- Added R^2 metric ([403](https://github.com/pyg-team/pytorch-frame/pull/403))

Changed

- Updated `ExcelFormer` implementation and related scripts ([391](https://github.com/pyg-team/pytorch-frame/pull/391))

Added

- Avoided for-loop in `EmbeddingEncoder` ([366](https://github.com/pyg-team/pytorch-frame/pull/366))
- Added `image_embedded` and one tabular image dataset ([344](https://github.com/pyg-team/pytorch-frame/pull/344))
- Added benchmarking suite for encoders ([360](https://github.com/pyg-team/pytorch-frame/pull/360))
- Added dataframe text benchmark script ([354](https://github.com/pyg-team/pytorch-frame/pull/354), [#367](https://github.com/pyg-team/pytorch-frame/pull/367))
- Added `DataFrameTextBenchmark` dataset ([349](https://github.com/pyg-team/pytorch-frame/pull/349))
- Added support for empty `TensorFrame` ([339](https://github.com/pyg-team/pytorch-frame/pull/339))

Changed

- Changed a workflow of Encoder's `na_forward` method resulting in performance boost ([364](https://github.com/pyg-team/pytorch-frame/pull/364))
- Removed ReLU applied in `FCResidualBlock` ([368](https://github.com/pyg-team/pytorch-frame/pull/368))

Deprecated

Removed

Fixed

- Fixed bug in empty `MultiNestedTensor` handling ([369](https://github.com/pyg-team/pytorch-frame/pull/369))
- Fixed the split of `DataFrameTextBenchmark` ([358](https://github.com/pyg-team/pytorch-frame/pull/358))
- Fixed empty `MultiNestedTensor` col indexing ([355](https://github.com/pyg-team/pytorch-frame/pull/355))

Added
- Support more stypes in `LinearModelEncoder` ([325](https://github.com/pyg-team/pytorch-frame/pull/325))
- Added `stype_encoder_dict` to some models ([319](https://github.com/pyg-team/pytorch-frame/pull/319))
- Added `HuggingFaceDatasetDict` ([287](https://github.com/pyg-team/pytorch-frame/pull/287))

Changed
- Supported decoder embedding model in `examples/transformers_text.py` ([333](https://github.com/pyg-team/pytorch-frame/pull/333))
- Removed implicit clones in `StypeEncoder` ([286](https://github.com/pyg-team/pytorch-frame/pull/286))

Deprecated

Removed

Fixed
- Fixed `TimestampEncoder` not applying `CyclicEncoder` to cyclic features ([311](https://github.com/pyg-team/pytorch-frame/pull/311))
- Fixed NaN masking in `multicateogrical` stype ([307](https://github.com/pyg-team/pytorch-frame/pull/307))

Added

- Added support for Boolean masks in `index_select` of `_MultiTensor` [334](https://github.com/pyg-team/pytorch-frame/pull/334)
- Added more text documentation ([291](https://github.com/pyg-team/pytorch-frame/pull/291))
- Added `col_to_model_cfg` ([270](https://github.com/pyg-team/pytorch-frame/pull/270))
- Support saving/loading of GBDT models ([269](https://github.com/pyg-team/pytorch-frame/pull/269))
- Added documentation on handling different stypes ([271](https://github.com/pyg-team/pytorch-frame/pull/271))
- Added `TimestampEncoder` ([225](https://github.com/pyg-team/pytorch-frame/pull/225))
- Added `LightGBM` ([248](https://github.com/pyg-team/pytorch-frame/pull/248))
- Added time columns to the `MultimodalTextBenchmark` ([253](https://github.com/pyg-team/pytorch-frame/pull/253))
- Added `CyclicEncoding` ([251](https://github.com/pyg-team/pytorch-frame/pull/251))
- Added `PositionalEncoding` ([249](https://github.com/pyg-team/pytorch-frame/pull/249))
- Added optional `col_names` argument in `StypeEncoder` ([247](https://github.com/pyg-team/pytorch-frame/pull/247))
- Added `col_to_text_embedder_cfg` and use `MultiEmbeddingTensor` for `text_embedded` ([246](https://github.com/pyg-team/pytorch-frame/pull/246))
- Added `col_encoder_dict` in `StypeWiseFeatureEncoder` ([244](https://github.com/pyg-team/pytorch-frame/pull/244))
- Added `LinearEmbeddingEncoder` for `embedding` stype ([243](https://github.com/pyg-team/pytorch-frame/pull/243))
- Added support for `torch_frame.text_embedded` in `GBDT` ([239](https://github.com/pyg-team/pytorch-frame/pull/239))
- Support `Metric` in `GBDT` ([236](https://github.com/pyg-team/pytorch-frame/pull/236))
- Added auto-inference of `stype` ([221](https://github.com/pyg-team/pytorch-frame/pull/221))
- Enabled `list` input in `multicategorical` stype ([224](https://github.com/pyg-team/pytorch-frame/pull/224))
- Added `Timestamp` stype ([212](https://github.com/pyg-team/pytorch-frame/pull/212))
- Added `multicategorical` to `MultimodalTextBenchmark` ([208](https://github.com/pyg-team/pytorch-frame/pull/208))
- Added support for saving and loading of `TensorFrame` with complex `stypes`. ([197](https://github.com/pyg-team/pytorch-frame/pull/197))
- Added `stype.embedding` ((194)[https://github.com/pyg-team/pytorch-frame/pull/194])
- Added `TensorFrame` concatenation of complex stypes. ([190](https://github.com/pyg-team/pytorch-frame/pull/190))
- Added `text_tokenized` example ([174](https://github.com/pyg-team/pytorch-frame/pull/174))
- Added Cohere embedding example ([186](https://github.com/pyg-team/pytorch-frame/pull/186))
- Added `AmazonFineFoodReviews` dataset and OpenAI embedding example ([182](https://github.com/pyg-team/pytorch-frame/pull/182))
- Added save and load logic for `FittableBaseTransform` ([178](https://github.com/pyg-team/pytorch-frame/pull/178))
- Added `MultiEmbeddingTensor` ([181](https://github.com/pyg-team/pytorch-frame/pull/181), [#193](https://github.com/pyg-team/pytorch-frame/pull/193), [#198](https://github.com/pyg-team/pytorch-frame/pull/198), [#199](https://github.com/pyg-team/pytorch-frame/pull/199), [#217](https://github.com/pyg-team/pytorch-frame/pull/217))
- Added `to_dense()` for `MultiNestedTensor` ([170](https://github.com/pyg-team/pytorch-frame/pull/170))
- Added example for `multicategorical` stype ([162](https://github.com/pyg-team/pytorch-frame/pull/162))
- Added `sequence_numerical` stype ([159](https://github.com/pyg-team/pytorch-frame/pull/159))
- Added `MultiCategoricalEmbeddingEncoder` ([155](https://github.com/pyg-team/pytorch-frame/pull/155))
- Added advanced indexing for `MultiNestedTensor` ([150](https://github.com/pyg-team/pytorch-frame/pull/150), [#161](https://github.com/pyg-team/pytorch-frame/pull/161), [#163](https://github.com/pyg-team/pytorch-frame/pull/163), [#165](https://github.com/pyg-team/pytorch-frame/pull/165))
- Added `multicategorical` stype ([128](https://github.com/pyg-team/pytorch-frame/pull/128), [#151](https://github.com/pyg-team/pytorch-frame/pull/151))
- Added `MultiNestedTensor` ([149](https://github.com/pyg-team/pytorch-frame/pull/149))

Changed

- Set `stype.embedding` as the parent of `stype.text_embedded` and unified `stype.text_embedded` with its parent in :obj:`tensor_frame` ([277](https://github.com/pyg-team/pytorch-frame/pull/277))
- Renamed `torch_frame.stype` module to `torch_frame._stype` ([275](https://github.com/pyg-team/pytorch-frame/pull/275))
- Renamed `text_tokenized_cfg` into `col_to_text_tokenized_cfg` ([257](https://github.com/pyg-team/pytorch-frame/pull/257))
- Made `Trompt` output 2-dim embeddings in `forward`
- Renamed `text_embedder_cfg` into `col_to_text_embedder_cfg`

Removed

- No manual passing of `in_channels` to `LinearEmbeddingEncoder` for `stype.text_embedded` ([222](https://github.com/pyg-team/pytorch-frame/pull/222))

Added

- Added basic `text_tokenized` ([157](https://github.com/pyg-team/pytorch-frame/pull/157))
- Added `Mercari` dataset ([123](https://github.com/pyg-team/pytorch-frame/pull/123/files))
- Added the model performance benchmark script ([114](https://github.com/pyg-team/pytorch-frame/pull/114))
- Added `DataFrameBenchmark` ([107](https://github.com/pyg-team/pytorch-frame/pull/107))
- Added concat and equal ops for `TensorFrame` ([100](https://github.com/pyg-team/pytorch-frame/pull/100))
- Use ROC-AUC for binary classification in GBDT ([98](https://github.com/pyg-team/pytorch-frame/pull/98))
- Infer `task_type` in dataset ([97](https://github.com/pyg-team/pytorch-frame/pull/97))
- Added `text_embedded` example ([95](https://github.com/pyg-team/pytorch-frame/pull/95))
- Added `MultimodalTextBenchmark` ([92](https://github.com/pyg-team/pytorch-frame/pull/92), [#117](https://github.com/pyg-team/pytorch-frame/pull/117))
- Renamed `x_dict` to `feat_dict` in `TensorFrame` ([86](https://github.com/pyg-team/pytorch-frame/pull/86))
- Added `TabTransformer` example ([82](https://github.com/pyg-team/pytorch-frame/pull/82))
- Added `TabNet` example ([85](https://github.com/pyg-team/pytorch-frame/pull/85))
- Added dataset `tensorframe` and `col_stats` caching ([84](https://github.com/pyg-team/pytorch-frame/pull/84))
- Added `TabTransformer` ([74](https://github.com/pyg-team/pytorch-frame/pull/74))
- Added `TabNet` ([35](https://github.com/pyg-team/pytorch-frame/pull/35))
- Added text embedded stype, mapper and encoder. ([78](https://github.com/pyg-team/pytorch-frame/pull/78))
- Added `ExcelFormer` example ([46](https://github.com/pyg-team/pytorch-frame/pull/46))
- Added support for inductive `DataFrame` to `TensorFrame` transformation ([75](https://github.com/pyg-team/pytorch-frame/pull/75))
- Added `CatBoost` baseline and tuned `CatBoost` example. ([73](https://github.com/pyg-team/pytorch-frame/pull/73))
- Added `na_strategy` as argument in `StypeEncoder`. ([69](https://github.com/pyg-team/pytorch-frame/pull/69))
- Added `NAStrategy` class and impute NaN values in `MutualInformationSort`. ([68](https://github.com/pyg-team/pytorch-frame/pull/68))
- Added `XGBoost` baseline and updated tuned `XGBoost` example. ([57](https://github.com/pyg-team/pytorch-frame/pull/57))
- Added `CategoricalCatBoostEncoder` and `MutualInformationSort` transforms needed by ExcelFromer ([52](https://github.com/pyg-team/pytorch-frame/pull/52))
- Added tutorial example script ([54](https://github.com/pyg-team/pytorch-frame/pull/54))
- Added `ResNet` ([48](https://github.com/pyg-team/pytorch-frame/pull/48))
- Added `ExcelFormerEncoder` ([42](https://github.com/pyg-team/pytorch-frame/pull/42))
- Made `FTTransformer` take `TensorFrame` as input ([45](https://github.com/pyg-team/pytorch-frame/pull/45))
- Added `Tompt` example ([39](https://github.com/pyg-team/pytorch-frame/pull/39))
- Added `post_module` in `StypeEncoder` ([43](https://github.com/pyg-team/pytorch-frame/pull/43))
- Added `FTTransformer` ([40](https://github.com/pyg-team/pytorch-frame/pull/40), [#41](https://github.com/pyg-team/pytorch-frame/pull/41))
- Added `ExcelFormer` ([26](https://github.com/pyg-team/pytorch-frame/pull/26))
- Added `Yandex` collections ([37](https://github.com/pyg-team/pytorch-frame/pull/37))
- Added `TabularBenchmark` collections ([33](https://github.com/pyg-team/pytorch-frame/pull/33))
- Added the `Bank Marketing` dataset ([34](https://github.com/pyg-team/pytorch-frame/pull/34))
- Added the `Mushroom`, `Forest Cover Type`, and `Poker Hand` datasets ([32](https://github.com/pyg-team/pytorch-frame/pull/32))
- Added `PeriodicEncoder` ([31](https://github.com/pyg-team/pytorch-frame/pull/31))
- Added `NaN` handling in `StypeEncoder` ([28](https://github.com/pyg-team/pytorch-frame/pull/28))
- Added `LinearBucketEncoder` ([22](https://github.com/pyg-team/pytorch-frame/pull/22))
- Added `Trompt` ([25](https://github.com/pyg-team/pytorch-frame/pull/25))
- Added `TromptDecoder` ([24](https://github.com/pyg-team/pytorch-frame/pull/24))
- Added `TromptConv` ([23](https://github.com/pyg-team/pytorch-frame/pull/23))
- Added `StypeWiseFeatureEncoder` ([16](https://github.com/pyg-team/pytorch-frame/pull/16))
- Added indexing/shuffling and column select functionality in `Dataset` ([18](https://github.com/pyg-team/pytorch-frame/pull/18), [#19](https://github.com/pyg-team/pytorch-frame/pull/19))
- Added `Adult Census Income` dataset ([17](https://github.com/pyg-team/pytorch-frame/pull/17))
- Added column-level statistics and dataset materialization ([15](https://github.com/pyg-team/pytorch-frame/pull/15))
- Added `FTTransformerConvs` ([12](https://github.com/pyg-team/pytorch-frame/pull/12))
- Added `DataLoader` capabilities ([11](https://github.com/pyg-team/pytorch-frame/pull/11))
- Added `TensorFrame.index_select` ([10](https://github.com/pyg-team/pytorch-frame/pull/10))
- Added `Dataset.to_tensor_frame` ([9](https://github.com/pyg-team/pytorch-frame/pull/9))
- Added base classes `TensorEncoder`, `FeatureEncoder`, `TableConv`, `Decoder` ([5](https://github.com/pyg-team/pytorch-frame/pull/5))
- Added `TensorFrame` ([4](https://github.com/pyg-team/pytorch-frame/pull/4))
- Added `Titanic` dataset ([3](https://github.com/pyg-team/pytorch-frame/pull/3))
- Added `Dataset` base class ([3](https://github.com/pyg-team/pytorch-frame/pull/3))