TypeError: fit() got an unexpected keyword argument 'verbose'

[wangjianqiao111]

Please make sure that this is a bug.

System information

• OS Platform and Distribution (e.g., CentOS 7.6):linux
• Python version:3.7
• HyperGBM version:0.3.0
• Other Python packages(run pip list): Package Version

---

absl-py 1.4.0 accelerate 0.20.3 aiohttp 3.8.5 aiosignal 1.3.1 annotated-types 0.5.0 anyio 3.7.1 apex 0.1 appdirs 1.4.4 argon2-cffi 23.1.0 argon2-cffi-bindings 21.2.0 astunparse 1.6.3 async-timeout 4.0.3 asynctest 0.13.0 attrs 23.1.0 audioread 3.0.0 autovizwidget 0.21.0 backcall 0.2.0 backports.zoneinfo 0.2.1 bcrypt 4.0.1 beautifulsoup4 4.12.2 bitsandbytes 0.41.1 bleach 6.0.0 cachetools 5.3.1 catboost 1.2 category-encoders 2.6.2 certifi 2023.7.22 cffi 1.15.1 cfgv 3.3.1 chardet 5.2.0 charset-normalizer 3.2.0 click 7.1.2 cloudpickle 2.2.1 cmake 3.27.5 colorama 0.4.6 coloredlogs 15.0.1 colossalai 0.3.1 comm 0.1.4 contexttimer 0.3.3 crc32c 2.3.post0 cryptography 3.4 cycler 0.11.0 dask 2022.1.0 dask-glm 0.2.0 dask-ml 2022.5.27 dask-sql 2022.1.0 DataProperty 1.0.1 datasets 2.13.1 debugpy 1.7.0 decorator 5.1.1 deeptables 0.2.5 defusedxml 0.7.1 Deprecated 1.2.14 dill 0.3.6 distlib 0.3.7 distributed 2022.1.0 docker-pycreds 0.4.0 docutils 0.20.1 eli5 0.13.0 entrypoints 0.4 evaluate 0.4.0 exceptiongroup 1.1.3 fabric 3.2.2 fastapi 0.101.1 fastjsonschema 2.18.0 featuretools 1.11.1 filelock 3.12.2 Flask 1.1.4 Flask-Cors 3.0.10 Flask-OpenTracing 1.1.0 flatbuffers 1.12 fonttools 4.38.0 frozenlist 1.3.3 fsspec 2023.1.0 gast 0.4.0 gin-config 0.5.0 gitdb 4.0.10 GitPython 3.1.36 google-auth 2.23.0 google-auth-oauthlib 0.4.6 google-pasta 0.2.0 graphviz 0.8.4 greenlet 2.0.2 grpcio 1.58.0 grpcio-opentracing 1.1.4 grpcio-reflection 1.34.1 gssapi 1.8.3 gunicorn 19.9.0 h11 0.14.0 h5py 3.8.0 hdijupyterutils 0.21.0 HeapDict 1.0.1 holidays 0.27.1 huggingface-hub 0.16.4 humanfriendly 10.0 hypergbm 0.3.0 hypernets 0.3.0 icetk 0.0.7 identify 2.5.24 idna 3.4 imbalanced-learn 0.11.0 importlib-metadata 6.7.0 importlib-resources 5.12.0 invoke 2.2.0 ipykernel 5.3.0 ipython 7.34.0 ipython-genutils 0.2.0 ipywidgets 8.1.1 itsdangerous 1.1.0 jaeger-client 4.1.0 jaraco.classes 3.2.3 jedi 0.19.0 jeepney 0.8.0 jieba 0.42.1 Jinja2 2.11.3 joblib 1.3.2 JPype1 1.4.1 jsonlines 3.1.0 jsonschema 4.17.3 jupyter 1.0.0 jupyter_client 7.4.9 jupyter-console 6.6.3 jupyter_core 4.12.0 jupyter-server 1.24.0 jupyterlab-pygments 0.2.2 jupyterlab-widgets 3.0.9 keras 2.11.0 Keras-Applications 1.0.8 Keras-Preprocessing 1.1.2 keyring 24.1.1 kiwisolver 1.4.5 krb5 0.5.1 libclang 16.0.6 librosa 0.9.2 lightgbm 4.0.0 lit 16.0.6 llvmlite 0.39.1 lm-eval 0.3.0 locket 1.0.0 Markdown 3.4.4 markdown-it-py 2.2.0 MarkupSafe 2.1.3 matplotlib 3.5.3 matplotlib-inline 0.1.6 mbstrdecoder 1.1.3 mdurl 0.1.2 mistune 3.0.1 more-itertools 9.1.0 mpmath 1.3.0 msgpack 1.0.5 multidict 6.0.4 multipledispatch 1.0.0 multiprocess 0.70.14 mxnet 1.9.1 nbclassic 1.0.0 nbclient 0.7.4 nbconvert 7.6.0 nbformat 5.8.0 nest-asyncio 1.5.5 ninja 1.11.1 nltk 3.8.1 nodeenv 1.8.0 notebook 6.5.5 notebook_shim 0.2.3 numba 0.56.4 numexpr 2.8.6 numpy 1.21.6 nvidia-ml-py3 7.352.0 oauthlib 3.2.2 onnx 1.12.0 onnxruntime 1.14.1 openai 0.28.0 opencv-python 4.8.0.76 opentracing 2.2.0 opt-einsum 3.3.0 optimum 1.11.1 packaging 23.1 pandas 1.3.5 pandasql 0.7.3 pandocfilters 1.5.0 paramiko 3.3.1 parso 0.8.3 partd 1.4.0 pathtools 0.1.2 pathvalidate 3.2.0 patsy 0.5.3 peft 0.3.0 pexpect 4.8.0 pickleshare 0.7.5 pika 1.3.2 Pillow 9.5.0 pip 23.0.1 pkginfo 1.9.6 pkgutil_resolve_name 1.3.10 platformdirs 3.10.0 plotly 5.17.0 pooch 1.7.0 portalocker 2.6.0 pre-commit 2.21.0 prettytable 3.7.0 prometheus-client 0.7.1 prompt-toolkit 3.0.39 protobuf 3.12.2 psutil 5.8.0 ptyprocess 0.7.0 py4j 0.10.9.7 pyaml 23.5.8 pyarrow 12.0.1 pyasn1 0.5.0 pyasn1-modules 0.3.0 pybind11 2.11.1 pycocotools 2.0.7 pycountry 22.3.5 pycparser 2.21 pydantic 2.3.0 pydantic_core 2.6.3 pyee 10.0.2 Pygments 2.16.1 pygraphviz 1.7 PyNaCl 1.5.0 pyparsing 3.1.1 pyrsistent 0.19.3 pyspark 3.4.1 pyspnego 0.9.2 pytablewriter 1.0.0 python-dateutil 2.8.2 python-ffmpeg 2.0.4 pytz 2023.3.post1 PyYAML 5.4 pyzmq 24.0.1 qtconsole 5.4.4 QtPy 2.4.0 ray 2.6.3 readme-renderer 37.3 redis 5.0.0 regex 2023.8.8 requests 2.31.0 requests-kerberos 0.14.0 requests-oauthlib 1.3.1 requests-toolbelt 1.0.0 resampy 0.4.2 responses 0.18.0 rfc3986 2.0.0 rich 13.5.3 rouge-score 0.1.2 rsa 4.9 rwkv 0.8.9 sacrebleu 1.5.0 safetensors 0.3.2 scikit-learn 1.0.2 scikit-optimize 0.9.0 scikit-plot 0.3.7 scipy 1.7.3 seaborn 0.12.2 SecretStorage 3.3.3 seldon-core 1.10.0 semantic-version 2.10.0 Send2Trash 1.8.2 sentencepiece 0.1.99 sentry-sdk 1.31.0 setproctitle 1.3.2 setuptools 68.0.0 setuptools-rust 1.7.0 shap 0.42.1 six 1.16.0 sklearn-pandas 2.2.0 sklearn2pmml 0.97.2 smmap 5.0.1 sniffio 1.3.0 sortedcontainers 2.4.0 soundfile 0.12.1 soupsieve 2.4.1 sparkmagic 0.20.5 SQLAlchemy 2.0.20 sqlitedict 2.1.0 starlette 0.27.0 statsmodels 0.13.5 sympy 1.10.1 tabledata 1.3.3 tables 3.7.0 tabular-toolbox 0.1.4 tabulate 0.9.0 tblib 2.0.0 tcolorpy 0.1.4 tenacity 8.2.3 tensorboard 2.11.2 tensorboard-data-server 0.6.1 tensorboard-plugin-wit 1.8.1 tensorboardX 2.6 tensorflow 2.11.0 tensorflow-addons 0.13.0 tensorflow-estimator 2.11.0 tensorflow-hub 0.11.0 tensorflow-io-gcs-filesystem 0.34.0 tensorflow-text 2.11.0 tensorrt 8.6.1 termcolor 2.3.0 terminado 0.17.1 tf-models-official 2.11.6 tf2onnx 1.14.0 tfrecord 1.14.3 threadloop 1.0.2 threadpoolctl 3.1.0 thrift 0.16.0 timm 0.9.5 tinycss2 1.2.1 tokenizers 0.13.3 tomli 2.0.1 toolz 0.12.0 torch 1.13.1+cu116 torchaudio 0.13.1+cu116 torchtext 0.14.1 torchvision 0.14.1+cu116 tornado 5.1.1 tqdm 4.66.1 tqdm-multiprocess 0.0.11 traitlets 5.9.0 transformers 4.30.2 triton 2.0.0 twine 4.0.2 typeguard 2.13.3 typepy 1.3.1 typing_extensions 4.7.1 tzlocal 5.0.1 urllib3 1.25.9 uvicorn 0.22.0 virtualenv 20.24.3 wandb 0.15.8 wcwidth 0.2.6 webencodings 0.5.1 websocket-client 1.6.1 Werkzeug 1.0.1 wheel 0.41.2 widgetsnbextension 4.0.9 woodwork 0.16.4 wordcloud 1.5.0 wrapt 1.15.0 xgboost 1.6.2 XlsxWriter 3.1.4 xxhash 3.3.0 yarl 1.9.2 zict 2.2.0 zipp 3.15.0 zstandard 0.21.0

** 2023-10-19 14:04:06.086 [ERROR] 10-19 14:04:06 E hypernets.m.hyper_model.py 103 - run_trail failed! trail_no=1 2023-10-19 14:04:06.090 [ERROR] 10-19 14:04:06 E hypernets.m.hyper_model.py 105 - Traceback (most recent call last): 2023-10-19 14:04:06.090 [ERROR] File "/usr/local/python3.7.17/lib/python3.7/site-packages/hypernets/model/hyper_model.py", line 98, in _run_trial 2023-10-19 14:04:06.090 [ERROR] estimator.fit(X, y, **fit_kwargs) 2023-10-19 14:04:06.090 [ERROR] File "/usr/local/python3.7.17/lib/python3.7/site-packages/hypergbm/hyper_gbm.py", line 459, in fit 2023-10-19 14:04:06.090 [ERROR] self.model.fit(X, y, **fit_kwargs) 2023-10-19 14:04:06.090 [ERROR] File "/usr/local/python3.7.17/lib/python3.7/site-packages/hypergbm/dask/_estimators.py", line 43, in fit 2023-10-19 14:04:06.090 [ERROR] super(LGBMClassifierDaskWrapper, self).fit(X, y, sample_weight=sample_weight, **kwargs) 2023-10-19 14:04:06.090 [ERROR] File "/usr/local/python3.7.17/lib/python3.7/site-packages/lightgbm/dask.py", line 1214, in fit 2023-10-19 14:04:06.090 [ERROR] **kwargs 2023-10-19 14:04:06.090 [ERROR] File "/usr/local/python3.7.17/lib/python3.7/site-packages/lightgbm/dask.py", line 1099, in _lgb_dask_fit 2023-10-19 14:04:06.090 [ERROR] **kwargs 2023-10-19 14:04:06.090 [ERROR] File "/usr/local/python3.7.17/lib/python3.7/site-packages/lightgbm/dask.py", line 818, in _train 2023-10-19 14:04:06.090 [ERROR] results = client.gather(futures_classifiers) 2023-10-19 14:04:06.090 [ERROR] File "/usr/local/python3.7.17/lib/python3.7/site-packages/distributed/client.py", line 1952, in gather 2023-10-19 14:04:06.090 [ERROR] asynchronous=asynchronous, 2023-10-19 14:04:06.090 [ERROR] File "/usr/local/python3.7.17/lib/python3.7/site-packages/distributed/utils.py", line 311, in sync 2023-10-19 14:04:06.090 [ERROR] self.loop, func, *args, callback_timeout=callback_timeout, **kwargs 2023-10-19 14:04:06.090 [ERROR] File "/usr/local/python3.7.17/lib/python3.7/site-packages/distributed/utils.py", line 364, in sync 2023-10-19 14:04:06.090 [ERROR] raise exc.with_traceback(tb) 2023-10-19 14:04:06.090 [ERROR] File "/usr/local/python3.7.17/lib/python3.7/site-packages/distributed/utils.py", line 349, in f 2023-10-19 14:04:06.090 [ERROR] result[0] = yield future 2023-10-19 14:04:06.090 [ERROR] File "/usr/local/python3.7.17/lib/python3.7/site-packages/tornado/gen.py", line 1133, in run 2023-10-19 14:04:06.090 [ERROR] value = future.result() 2023-10-19 14:04:06.090 [ERROR] File "/usr/local/python3.7.17/lib/python3.7/site-packages/distributed/client.py", line 1811, in _gather 2023-10-19 14:04:06.090 [ERROR] raise exception.with_traceback(traceback) 2023-10-19 14:04:06.090 [ERROR] File "/usr/local/python3.7.17/lib/python3.7/site-packages/lightgbm/dask.py", line 322, in _train_part 2023-10-19 14:04:06.090 [ERROR] **kwargs 2023-10-19 14:04:06.090 [ERROR] TypeError: fit() got an unexpected keyword argument 'verbose' **

Describe the expected behavior

Standalone code to reproduce the issue Provide a reproducible test case that is the bare minimum necessary to generate the problem. If possible, please share a link to Jupyter notebook.

Are you willing to submit PR?(Yes/No)

Other info / logs Include any logs or source code that would be helpful to diagnose the problem. If including tracebacks, please include the full traceback. Large logs and files should be attached.

[wangjianqiao111]

program code：

from dask import dataframe as dd from dask.distributed import LocalCluster, Client

from hypergbm import make_experiment from hypergbm.dask import search_space_general from hypernets.tabular.datasets import dsutils

def my_search_space(): return search_space_general(n_estimators=100)

def train(): cluster = LocalCluster(processes=False) client = Client(cluster)

train_data = dd.from_pandas(dsutils.load_blood(), npartitions=1)

experiment = make_experiment(train_data, target='Class', searcher='mcts', search_space=my_search_space)
estimator = experiment.run()
print(estimator)

if name == 'main': train()

[oaksharks]

Please try downgrading the version of lightgbm or using hypergbm on the main branch.