OneHotEncoder.__init__() got an unexpected keyword argument 'sparse

[minivillalba4]

When I execute this line of code on Jupiter Notebook this is what happens:

from lazypredict.Supervised import LazyClassifier

---

TypeError Traceback (most recent call last)
Cell In[1], line 6
4 import matplotlib.pyplot as plt
5 from sklearn.model_selection import train_test_split,RandomizedSearchCV
----> 6 from lazypredict.Supervised import LazyClassifier
7 from sklearn.preprocessing import MinMaxScaler

File ~\anaconda3\Lib\site-packages\lazypredict\Supervised.py:98
89 # CLASSIFIERS.append(('CatBoostClassifier',catboost.CatBoostClassifier))
91 numeric_transformer = Pipeline(
92 steps=[("imputer", SimpleImputer(strategy="mean")), ("scaler", StandardScaler())]
93 )
95 categorical_transformer_low = Pipeline(
96 steps=[
97 ("imputer", SimpleImputer(strategy="constant", fill_value="missing")),
---> 98 ("encoding", OneHotEncoder(handle_unknown="ignore", sparse=False)),
99 ]
100 )
102 categorical_transformer_high = Pipeline(
103 steps=[
104 ("imputer", SimpleImputer(strategy="constant", fill_value="missing")),
(...)
107 ]
108 )
111 # Helper function

TypeError: OneHotEncoder.init() got an unexpected keyword argument 'sparse'

[balachandragv]

Hi.. Changing 'sparse' to 'sparse_output' will resolve the issue.