AttributeError: TODS_PRIMITIVE

[zhiyuanzhang15]

{ "name": "AttributeError", "message": "TODS_PRIMITIVE", "stack": "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mAttributeError\u001b[0m Traceback (most recent call last)\n\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mpandas\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mpd\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[1;32mfrom\u001b[0m \u001b[0mtods\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mschemas\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mschemas_utils\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 4\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0mtods\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mgenerate_dataset\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mevaluate_pipeline\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\n\u001b[1;32mc:\Users\14496\anaconda3\envs\anomaly\lib\site-packages\tods\init.py\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[1;33m.\u001b[0m\u001b[0mutils\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[1;32mfrom\u001b[0m \u001b[0mtods\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdata_processing\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 3\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0mtods\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtimeseries_processing\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0mtods\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfeature_analysis\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0mtods\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdetection_algorithm\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[1;33m*\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\n\u001b[1;32mc:\Users\14496\anaconda3\envs\anomaly\lib\site-packages\tods\data_processing\init.py\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[1;32mfrom\u001b[0m \u001b[0mtods\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdata_processing\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mCategoricalToBinary\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mCategoricalToBinaryPrimitive\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 2\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0mtods\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdata_processing\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mColumnFilter\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mColumnFilterPrimitive\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0mtods\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdata_processing\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mContinuityValidation\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mContinuityValidationPrimitive\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0mtods\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdata_processing\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mDatasetToDataframe\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mDatasetToDataFramePrimitive\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0mtods\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdata_processing\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mDuplicationValidation\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mDuplicationValidationPrimitive\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\n\u001b[1;32mc:\Users\14496\anaconda3\envs\anomaly\lib\site-packages\tods\data_processing\CategoricalToBinary.py\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 117\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mprocessed_df\u001b[0m\u001b[1;33m;\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 118\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 119\u001b[1;33m \u001b[1;32mclass\u001b[0m \u001b[0mCategoricalToBinaryPrimitive\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtransformer\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mTransformerPrimitiveBase\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mInputs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mOutputs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mHyperparams\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 120\u001b[0m \"\"\"\n\u001b[0;32m 121\u001b[0m \u001b[0mA\u001b[0m \u001b[0mprimitive\u001b[0m \u001b[0mwhich\u001b[0m \u001b[0mwill\u001b[0m \u001b[0mconvert\u001b[0m \u001b[0mall\u001b[0m \u001b[0mthe\u001b[0m \u001b[0mdistinct\u001b[0m \u001b[0mvalues\u001b[0m \u001b[0mpresent\u001b[0m \u001b[1;32min\u001b[0m \u001b[0ma\u001b[0m \u001b[0mcolumn\u001b[0m \u001b[0mto\u001b[0m \u001b[0ma\u001b[0m \u001b[0mbinary\u001b[0m \u001b[0mrepresntation\u001b[0m \u001b[1;32mwith\u001b[0m \u001b[0meach\u001b[0m \u001b[0mdistinct\u001b[0m \u001b[0mvalue\u001b[0m \u001b[0mhaving\u001b[0m \u001b[0ma\u001b[0m \u001b[0mdifferent\u001b[0m \u001b[0mcolumn\u001b[0m\u001b[1;33m.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\n\u001b[1;32mc:\Users\14496\anaconda3\envs\anomaly\lib\site-packages\tods\data_processing\CategoricalToBinary.py\u001b[0m in \u001b[0;36mCategoricalToBinaryPrimitive\u001b[1;34m()\u001b[0m\n\u001b[0;32m 157\u001b[0m },\n\u001b[0;32m 158\u001b[0m 'algorithm_types': [\n\u001b[1;32m--> 159\u001b[1;33m \u001b[0mmetadata_base\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mPrimitiveAlgorithmType\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mTODS_PRIMITIVE\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 160\u001b[0m ],\n\u001b[0;32m 161\u001b[0m \u001b[1;34m'primitive_family'\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mmetadata_base\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mPrimitiveFamily\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mDATA_PREPROCESSING\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\n\u001b[1;32mc:\Users\14496\anaconda3\envs\anomaly\lib\enum.py\u001b[0m in \u001b[0;36mgetattr\u001b[1;34m(cls, name)\u001b[0m\n\u001b[0;32m 324\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mcls\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_membermap\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 325\u001b[0m \u001b[1;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 326\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0mAttributeError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 327\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 328\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mgetitem\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcls\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\n\u001b[1;31mAttributeError\u001b[0m: TODS_PRIMITIVE" }

How to solve this bug?

[lhenry15]

What is your tamu_d3m version? Would you mind to show us the python packages that you have installed via "pip freeze"?

[zhiyuanzhang15]

absl-py==0.15.0 aiohttp==3.8.1 aiohttp-cors==0.7.0 aioredis==2.0.1 aiosignal==1.2.0 astunparse==1.6.3 async-timeout==4.0.2 asynctest==0.13.0 attrs==21.4.0 backcall @ file:///home/conda/feedstock_root/build_artifacts/backcall_1592338393461/work backports.functools-lru-cache @ file:///home/conda/feedstock_root/build_artifacts/backports.functools_lru_cache_1618230623929/work backports.zoneinfo==0.2.1 beautifulsoup4==4.11.1 blessings==1.7 cachetools==4.2.4 certifi==2021.5.30 charset-normalizer==2.0.12 click==8.0.4 colorama @ file:///home/conda/feedstock_root/build_artifacts/colorama_1655412516417/work colorful==0.5.4 combo==0.1.3 contextvars==2.4 custom-inherit==2.3.2 cycler==0.11.0 d3m==2022.5.5 dataclasses==0.8 dateparser==1.1.1 decorator @ file:///home/conda/feedstock_root/build_artifacts/decorator_1641555617451/work e==1.4.5 entrypoints @ file:///home/conda/feedstock_root/build_artifacts/entrypoints_1643888246732/work filelock==3.4.1 flatbuffers==1.12 frozendict==1.2 frozenlist==1.2.0 gast==0.3.3 gitdb==4.0.9 GitPython==3.1.20 google==3.0.0 google-api-core==2.8.2 google-auth==2.8.0 google-auth-oauthlib==0.4.6 google-pasta==0.2.0 googleapis-common-protos==1.56.3 gpustat==0.6.0 GPUtil==1.4.0 grpcio==1.32.0 grpcio-testing==1.32.0 grpcio-tools==1.32.0 h5py==2.10.0 idna==3.3 idna-ssl==1.1.0 immutables==0.18 importlib-metadata==4.8.3 importlib-resources==5.4.0 ipykernel @ file:///D:/bld/ipykernel_1620913140366/work/dist/ipykernel-5.5.5-py3-none-any.whl ipython @ file:///D:/bld/ipython_1609697945785/work ipython-genutils==0.2.0 jedi @ file:///D:/bld/jedi_1605054785407/work joblib==1.1.0 jsonpath-ng==1.5.3 jsonschema==4.0.0 jupyter-client @ file:///home/conda/feedstock_root/build_artifacts/jupyter_client_1642858610849/work jupyter-core @ file:///D:/bld/jupyter_core_1631852848502/work Keras==2.4.0 Keras-Preprocessing==1.1.2 kiwisolver==1.3.1 liac-arff==2.5.0 llvmlite==0.36.0 Markdown==3.3.7 matplotlib==3.3.4 more-itertools==8.5.0 msgpack==1.0.4 multidict==5.2.0 mypy-extensions==0.4.3 nest-asyncio @ file:///home/conda/feedstock_root/build_artifacts/nest-asyncio_1648959695634/work networkx==2.4 nimfa==1.4.0 numba==0.53.1 numpy==1.19.5 nvidia-ml-py3==7.352.0 oauthlib==3.2.0 opencensus==0.9.0 opencensus-context==0.1.2 openml==0.11.0 opt-einsum==3.3.0 pandas==1.1.5 parso @ file:///home/conda/feedstock_root/build_artifacts/parso_1595548966091/work patsy==0.5.2 pickleshare @ file:///home/conda/feedstock_root/build_artifacts/pickleshare_1602536217715/work Pillow==7.1.2 ply==3.11 prometheus-client==0.14.1 prompt-toolkit @ file:///home/conda/feedstock_root/build_artifacts/prompt-toolkit_1656332401605/work protobuf==3.19.4 psutil==5.9.1 py-spy==0.3.12 pyasn1==0.4.8 pyasn1-modules==0.2.8 Pygments @ file:///home/conda/feedstock_root/build_artifacts/pygments_1650904496387/work pyod==1.0.2 pyparsing==3.0.9 pyrsistent==0.18.0 python-dateutil @ file:///home/conda/feedstock_root/build_artifacts/python-dateutil_1626286286081/work pytypes==1.0b10 pytz==2022.1 pytz-deprecation-shim==0.1.0.post0 PyWavelets==1.1.1 pywin32==301 PyYAML==5.4.1 pyzmq @ file:///D:/bld/pyzmq_1631793604214/work ray==1.0.1.post1 redis==3.4.1 regex==2022.3.2 requests==2.26.0 requests-oauthlib==1.3.1 rfc3339-validator==0.1.4 rfc3986-validator==0.1.1 rsa==4.8 scikit-learn==0.24.2 scipy==1.5.4 simplejson==3.12.0 six==1.15.0 smmap==5.0.0 soupsieve==2.3.2.post1 statsmodels==0.11.1 stumpy==1.4.0 tamu-axolotl==2021.4.8 tamu-d3m==2022.5.23 tensorboard==2.9.1 tensorboard-data-server==0.6.1 tensorboard-plugin-wit==1.8.1 tensorflow==2.4.0 tensorflow-estimator==2.4.0 termcolor==1.1.0 threadpoolctl==3.1.0 tods @ file:///C:/Users/14496/tods tornado @ file:///D:/bld/tornado_1610094881553/work traitlets @ file:///home/conda/feedstock_root/build_artifacts/traitlets_1631041982274/work typing-extensions==3.7.4.3 typing-inspect==0.7.1 tzdata==2022.1 tzlocal==4.2 urllib3==1.26.9 wcwidth @ file:///home/conda/feedstock_root/build_artifacts/wcwidth_1600965781394/work webcolors==1.11.1 Werkzeug==2.0.3 wincertstore==0.2 wrapt==1.12.1 xmltodict==0.13.0 yarl==1.7.2 zipp==3.6.0

hello, i run it on windows system. i think maybe because of this system?

[lhenry15]

I see. Currently, we only support linux system and we are working on supporting Windows system. You may want to use Linux system for now. But the error message you got is not because of the system. Instead, it's because you have both "tamu_d3m" and "d3m" at the same time. This issue may due to the reason that tods to use vanilla "d3m" as the backbone instead of "tamu_d3m" and therefore not able to recognize TODS_PRIMITIVE attributes. Anyway, thanks for the information we will keep an eye on this issue to see if there are some bug during the installation process.

[soso-maitha]

is the package still not supported for Windows?

[AhmadUsc]

this problem appeared, even though I installed TODS on Ubuntu. what is the problem?