trafficstars
{
"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;36m__getattr__\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_member_map_\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[0m__getitem__\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?
What is your tamu_d3m version? Would you mind to show us the python packages that you have installed via "pip freeze"?
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?
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.
is the package still not supported for Windows?
this problem appeared, even though I installed TODS on Ubuntu. what is the problem?
tods copied to clipboard
datamllab
