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.