diff --git a/README.md b/README.md index 141c74b707..ebab2559dc 100644 --- a/README.md +++ b/README.md @@ -23,7 +23,7 @@ conda activate tableshift python examples/run_expt.py ``` -The final line above will print some detailed logging output as the script executes. When you see `training completed! test accuracy: 0.6240` your environment is ready to go! +The final line above will print some detailed logging output as the script executes. When you see `training completed! test accuracy: 0.6221` your environment is ready to go! (Accuracy may vary slightly due to randomness.) Once the TableShift package has been officially released (very soon!) we will also provide a pip-installable version. diff --git a/requirements.txt b/requirements.txt index dd8a44ee1d..0776eb1957 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,5 +1,5 @@ absl-py==1.4.0 -accelerate==0.16.0 +accelerate aiohttp==3.8.3 aiohttp-cors==0.7.0 aiorwlock==1.3.0 @@ -14,14 +14,6 @@ array-record==0.2.0 asttokens==2.2.0 async-timeout==4.0.2 attrs==22.1.0 -auto-mm-bench @ file:///Users/jpgard/Documents/github/automl_multimodal_benchmark/multimodal_text_benchmark -autogluon==0.7.0 -autogluon.common==0.7.0 -autogluon.core==0.7.0 -autogluon.features==0.7.0 -autogluon.multimodal==0.7.0 -autogluon.tabular==0.7.0 -autogluon.timeseries==0.7.0 Babel==2.11.0 backcall==0.2.0 beautifulsoup4==4.11.1 @@ -35,7 +27,7 @@ cachetools==5.2.0 catalogue==2.0.8 catboost==1.1.1 category-encoders==2.6.0 -certifi @ file:///private/var/folders/sy/f16zz6x50xz3113nwtb9bvq00000gp/T/abs_0ek9yztvu3/croot/certifi_1665076692562/work/certifi +certifi==2022.09.24 cffi==1.15.1 charset-normalizer==2.1.1 click==8.0.4 @@ -67,7 +59,7 @@ evaluate==0.3.0 exceptiongroup==1.1.0 executing==1.2.0 fairlearn==0.8.0 -fairscale==0.4.13 +fairscale fastai==2.7.12 fastapi==0.88.0 fastcore==1.5.29 @@ -76,13 +68,14 @@ fastjsonschema==2.16.2 fastprogress==1.0.3 fasttext==0.9.1 filelock==3.8.0 -folktables==0.0.11 +folktables fonttools==4.38.0 frozendict==2.3.4 frozenlist==1.3.3 fsspec==2022.11.0 future==0.18.2 gdown==4.7.1 +git+https://github.com/sxjscience/automl_multimodal_benchmark.git#subdirectory=multimodal_text_benchmark gluonts==0.12.6 google-api-core==2.10.2 google-auth==2.17.2 @@ -133,8 +126,6 @@ Mako==1.2.4 Markdown==3.4.3 markdown-it-py==2.2.0 MarkupSafe==2.1.1 -matplotlib==3.6.3 -matplotlib-inline==0.1.6 mdurl==0.1.2 mistune==2.0.4 model-index==0.1.11 @@ -154,8 +145,8 @@ nltk==3.8.1 notebook==6.5.2 notebook_shim==0.2.2 nptyping==2.4.1 -numba==0.56.4 -numpy==1.23.5 +numba +numpy nvidia-ml-py==11.495.46 oauthlib==3.2.2 omegaconf==2.2.3 @@ -166,7 +157,7 @@ openpyxl==3.1.2 optuna==3.1.1 ordered-set==4.1.0 packaging==21.3 -pandas==1.5.3 +pandas pandocfilters==1.5.0 parso==0.8.3 pathy==0.10.1 @@ -184,7 +175,6 @@ preshed==3.0.8 prometheus-client==0.13.1 promise==2.3 prompt-toolkit==3.0.33 -protobuf==4.23.2 psutil==5.9.4 ptyprocess==0.7.0 pure-eval==0.2.2 @@ -229,35 +219,25 @@ s3transfer==0.6.0 scikit-image==0.19.3 scikit-learn==1.1.3 scipy==1.9.3 -seaborn==0.12.2 Send2Trash==1.8.0 sentencepiece==0.1.97 seqeval==1.2.2 six==1.16.0 -sklearn==0.0.post1 -sktime==0.15.1 +scikit-learn==1.1.3 smart-open==6.2.0 sniffio==1.3.0 soupsieve==2.3.2.post1 -spacy==3.5.1 -spacy-legacy==3.0.12 -spacy-loggers==1.0.4 +spacy SQLAlchemy==2.0.9 srsly==2.4.6 stack-data==0.6.2 starlette==0.22.0 statsforecast==1.4.0 -statsmodels==0.13.5 +statsmodels tab-transformer-pytorch==0.2.1 --e git+https://github.com/jpgard/tableshift.git@3711880efe3cb639530f4c08c3ee0cac2e1125d6#egg=tablebench -tableshift==0.0 tabulate==0.9.0 tbats==1.1.2 tenacity==8.2.2 -tensorboard==2.12.1 -tensorboard-data-server==0.7.0 -tensorboard-plugin-wit==1.8.1 -tensorboardX==2.5.1 tensorflow-datasets==4.9.2 tensorflow-metadata==1.13.1 termcolor==2.3.0 @@ -298,7 +278,7 @@ wrapt==1.14.1 xarray==2023.1.0 xgboost==1.7.1 xgboost-ray==0.1.12 -xport==3.6.1 +xport xxhash==3.2.0 yacs==0.1.8 yarl==1.8.1 diff --git a/setup.py b/setup.py index 5e233a38e2..75ee71e3e5 100644 --- a/setup.py +++ b/setup.py @@ -19,14 +19,10 @@ install_requires=[ 'numpy==1.23.5', 'ray==2.2', - 'ray[air]', - 'ray[tune]', 'torch', 'torchvision', 'scikit-learn', 'pandas', - 'lightgbm', - 'xgboost', 'fairlearn', 'folktables', 'frozendict', @@ -34,8 +30,6 @@ 'xport', 'tqdm', 'hyperopt', - 'xgboost_ray', - 'lightgbm_ray', 'h5py', 'tables', 'category_encoders',