ImportError: To be able to use evaluate-metric/glue, you need to install the following dependencies['sklearn'] using 'pip install sklearn' for instance'
mohammad-albarham opened this issue · comments
I was following the tutorial in the Transformers course at Huggingface:
The error appears when I using evaluate library as follows:
import evaluate
metric = evaluate.load("glue", "mrpc")
metric.compute(predictions=preds, references=predictions.label_ids)The error I have faced as follows: (the Traceback is below)
ImportError Traceback (most recent call last)
/home/think3/Desktop/Barham/transformers-course/Fine_tunning.py/Fine_tunning_with_Trainer_API.py in line 5
64 # %%
66 import evaluate
----> 68 metric = evaluate.load("glue", "mrpc")
69 metric.compute(predictions=preds, references=predictions.label_ids)
File ~/Desktop/Barham/transformers-course/.env/lib/python3.8/site-packages/evaluate/loading.py:731, in load(path, config_name, module_type, process_id, num_process, cache_dir, experiment_id, keep_in_memory, download_config, download_mode, revision, **init_kwargs)
703 """Load a `evaluate.EvaluationModule`.
704
705 Args:
(...)
728 `evaluate.EvaluationModule`
729 """
730 download_mode = DownloadMode(download_mode or DownloadMode.REUSE_DATASET_IF_EXISTS)
--> 731 evaluation_module = evaluation_module_factory(
732 path, module_type=module_type, revision=revision, download_config=download_config, download_mode=download_mode
733 )
734 evaluation_cls = import_main_class(evaluation_module.module_path)
735 evaluation_instance = evaluation_cls(
736 config_name=config_name,
737 process_id=process_id,
(...)
743 **init_kwargs,
744 )
File ~/Desktop/Barham/transformers-course/.env/lib/python3.8/site-packages/evaluate/loading.py:680, in evaluation_module_factory(path, module_type, revision, download_config, download_mode, force_local_path, dynamic_modules_path, **download_kwargs)
678 pass
679 if not isinstance(e1, (ConnectionError, FileNotFoundError)):
--> 680 raise e1 from None
681 raise FileNotFoundError(
682 f"Couldn't find a module script at {relative_to_absolute_path(combined_path)}. "
683 f"Module '{path}' doesn't exist on the Hugging Face Hub either."
684 ) from None
685 else:
File ~/Desktop/Barham/transformers-course/.env/lib/python3.8/site-packages/evaluate/loading.py:633, in evaluation_module_factory(path, module_type, revision, download_config, download_mode, force_local_path, dynamic_modules_path, **download_kwargs)
631 for current_type in ["metric", "comparison", "measurement"]:
632 try:
--> 633 return HubEvaluationModuleFactory(
634 f"evaluate-{current_type}/{path}",
635 revision=revision,
636 download_config=download_config,
637 download_mode=download_mode,
638 dynamic_modules_path=dynamic_modules_path,
639 ).get_module()
640 except ConnectionError:
641 pass
File ~/Desktop/Barham/transformers-course/.env/lib/python3.8/site-packages/evaluate/loading.py:489, in HubEvaluationModuleFactory.get_module(self)
486 raise err
488 imports = get_imports(local_path)
--> 489 local_imports = _download_additional_modules(
490 name=self.name,
491 base_path=hf_hub_url(path=self.name, name="", revision=revision),
492 imports=imports,
493 download_config=self.download_config,
494 )
495 # copy the script and the files in an importable directory
496 dynamic_modules_path = self.dynamic_modules_path if self.dynamic_modules_path else init_dynamic_modules()
File ~/Desktop/Barham/transformers-course/.env/lib/python3.8/site-packages/evaluate/loading.py:265, in _download_additional_modules(name, base_path, imports, download_config)
263 needs_to_be_installed.add((library_import_name, library_import_path))
264 if needs_to_be_installed:
--> 265 raise ImportError(
266 f"To be able to use {name}, you need to install the following dependencies"
267 f"{[lib_name for lib_name, lib_path in needs_to_be_installed]} using 'pip install "
268 f"{' '.join([lib_path for lib_name, lib_path in needs_to_be_installed])}' for instance'"
269 )
270 return local_imports
ImportError: To be able to use evaluate-metric/glue, you need to install the following dependencies['sklearn'] using 'pip install sklearn' for instance'The ImportError raised guided me to install sklearn using pip install sklearn but it didn't worked for me and the error still appearing.
However, I solved the problem by using pip install scikit-learn and it works now.
Is there any error from my side? or is there anything should be changed on the evaluate library for this point?
Note: it seems that sklearn is deprecated, here
The libraries after installing sklearn:
Package Version
------------------ --------------
aiohttp 3.8.3
aiosignal 1.3.1
asttokens 2.2.1
async-timeout 4.0.2
attrs 22.2.0
backcall 0.2.0
certifi 2022.12.7
charset-normalizer 2.1.1
comm 0.1.2
datasets 2.8.0
debugpy 1.6.4
decorator 5.1.1
dill 0.3.6
entrypoints 0.4
evaluate 0.4.0
executing 1.2.0
filelock 3.8.2
frozenlist 1.3.3
fsspec 2022.11.0
huggingface-hub 0.11.1
idna 3.4
ipykernel 6.19.4
ipython 8.7.0
jedi 0.18.2
joblib 1.2.0
jupyter-client 7.4.8
jupyter-core 5.1.1
matplotlib-inline 0.1.6
multidict 6.0.4
multiprocess 0.70.14
nest-asyncio 1.5.6
numpy 1.24.1
packaging 22.0
pandas 1.5.2
parso 0.8.3
pexpect 4.8.0
pickleshare 0.7.5
Pillow 9.3.0
pip 20.0.2
pkg-resources 0.0.0
platformdirs 2.6.2
prompt-toolkit 3.0.36
protobuf 3.20.2
psutil 5.9.4
ptyprocess 0.7.0
pure-eval 0.2.2
pyarrow 10.0.1
Pygments 2.13.0
python-dateutil 2.8.2
pytz 2022.7
PyYAML 6.0
pyzmq 24.0.1
regex 2022.10.31
requests 2.28.1
responses 0.18.0
scipy 1.9.3
sentencepiece 0.1.97
setuptools 44.0.0
six 1.16.0
sklearn 0.0.post1
stack-data 0.6.2
threadpoolctl 3.1.0
tokenizers 0.13.2
torch 1.10.0+cu102
torchaudio 0.10.0+rocm4.1
torchvision 0.11.0+cu102
tornado 6.2
tqdm 4.64.1
traitlets 5.8.0
transformers 4.25.1
typing-extensions 4.4.0
urllib3 1.26.13
wcwidth 0.2.5
xxhash 3.2.0
yarl 1.8.2
The libraries after installing scikit-learn:
Package Version
------------------ --------------
aiohttp 3.8.3
aiosignal 1.3.1
asttokens 2.2.1
async-timeout 4.0.2
attrs 22.2.0
backcall 0.2.0
certifi 2022.12.7
charset-normalizer 2.1.1
comm 0.1.2
datasets 2.8.0
debugpy 1.6.4
decorator 5.1.1
dill 0.3.6
entrypoints 0.4
evaluate 0.4.0
executing 1.2.0
filelock 3.8.2
frozenlist 1.3.3
fsspec 2022.11.0
huggingface-hub 0.11.1
idna 3.4
ipykernel 6.19.4
ipython 8.7.0
jedi 0.18.2
joblib 1.2.0
jupyter-client 7.4.8
jupyter-core 5.1.1
matplotlib-inline 0.1.6
multidict 6.0.4
multiprocess 0.70.14
nest-asyncio 1.5.6
numpy 1.24.1
packaging 22.0
pandas 1.5.2
parso 0.8.3
pexpect 4.8.0
pickleshare 0.7.5
Pillow 9.3.0
pip 20.0.2
pkg-resources 0.0.0
platformdirs 2.6.2
prompt-toolkit 3.0.36
protobuf 3.20.2
psutil 5.9.4
ptyprocess 0.7.0
pure-eval 0.2.2
pyarrow 10.0.1
Pygments 2.13.0
python-dateutil 2.8.2
pytz 2022.7
PyYAML 6.0
pyzmq 24.0.1
regex 2022.10.31
requests 2.28.1
responses 0.18.0
scikit-learn 1.2.0
scipy 1.9.3
sentencepiece 0.1.97
setuptools 44.0.0
six 1.16.0
sklearn 0.0.post1
stack-data 0.6.2
threadpoolctl 3.1.0
tokenizers 0.13.2
torch 1.10.0+cu102
torchaudio 0.10.0+rocm4.1
torchvision 0.11.0+cu102
tornado 6.2
tqdm 4.64.1
traitlets 5.8.0
transformers 4.25.1
typing-extensions 4.4.0
urllib3 1.26.13
wcwidth 0.2.5
xxhash 3.2.0
yarl 1.8.2 
Were there any updates on this? I am seeing the same error from following the same tutorial.
My issue was a mismatch in virtual environments -- I had evaluate installed system-wide and sklearn installed in my virtualenv. Hope this helps.
The ImportError raised guided me to install sklearn using
pip install sklearnbut it didn't worked for me and the error still appearing.However, I solved the problem by using
pip install scikit-learnand it works now.Note: it seems that sklearn is deprecated, here
I was having the exact same issue and this fixed it for me. Thank you!
Still not working for me after installing pip install scikit-learn
Add more information, please
Still not working for me after installing
pip install scikit-learn
Had similar issue, try restarting the kernel, it worked for me
similar issue. worked by "pip install scikit-learn". The error msg needs to be updated: "you need to install the following dependencies['sklearn'] using 'pip install sklearn'"
same issue and solve with pip install scikit-learn
is there a procedure to amend the hugging face notebook to reflect that so at the beggining it specify this as a library to install ?
So glad I looked this up. I ran into the same problem and installing scikit-learn also fixed the problem.
So glad I looked this up. I ran into the same problem and installing scikit-learn also fixed the problem.
I hit this too, resolved by installing scikit-learn
Had the same problem while trying the tutorial here https://huggingface.co/docs/transformers/tasks/sequence_classification
Installing 'pip install scikit-learn' did the trick for me too; with sklearn it didn't work
+1 to pip install scikit-learn doing the job
pip install scikit-learn fix this problem