Skip to content

Latest commit

 

History

History
78 lines (65 loc) · 5.71 KB

CHANGELOG.md

File metadata and controls

78 lines (65 loc) · 5.71 KB
Raw

Changelog

All notable changes to this project will be documented in this file. The format is based on Keep a Changelog.

[Unreleased]

Added

  • Added multi_categorical stype (#128, #151)
  • Added MultiNestedTensor (#149)

Changed

Deprecated

Removed

Fixed

[0.1.0] - 2023-10-23

Added

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