What is the cause of this error?

[Led_Zeppelin]

The following code generates an error as shown:

# random search logistic regression model on the sonar dataset
from scipy.stats import loguniform
from pandas import read_csv
from sklearn.linear_model import LogisticRegression
from sklearn.model_selection import RepeatedStratifiedKFold
from sklearn.model_selection import RandomizedSearchCV
# load dataset
url = 'https://raw.githubusercontent.com/jbrownlee/Datasets/master/sonar.csv'
dataframe = read_csv(url, header=None)
# split into input and output elements
data = dataframe.values
X, y = data[:, :-1], data[:, -1]
# define model
model = LogisticRegression()
# define evaluation
cv = RepeatedStratifiedKFold(n_splits=10, n_repeats=3, random_state=1)
# define search space
space = dict()
space['solver'] = ['newton-cg', 'lbfgs', 'liblinear']
space['penalty'] = ['none', 'l1', 'l2', 'elasticnet']
space['C'] = loguniform(1e-5, 100)
# define search
search = RandomizedSearchCV(model, space, n_iter=500, scoring='accuracy', n_jobs=-1, cv=cv, random_st=1)
# execute search
result = search.fit(X, y)
# summarize result
print('Best Score: %s' % result.best_score_)
print('Best Hyperparameters: %s' % result.best_params_)

The error is: now shown:

Error:
TypeError                                 Traceback (most recent call last)
Input In [1], in <cell line: 23>()
     21 space['C'] = loguniform(1e-5, 100)
     22 # define search
---> 23 search = RandomizedSearchCV(model, space, n_iter=500, scoring='accuracy', n_jobs=-1, cv=cv, random_st=1)
     24 # execute search
     25 result = search.fit(X, y)

TypeError: RandomizedSearchCV.__init__() got an unexpected keyword argument 'random_st'

I am attaching a captured printout of my install modules. I know it has something to do with scikit-learn, but I am not
sure what is causing the error.

Yoriz write Jan-29-2023, 10:39 PM:
Please post all code, output and errors (in their entirety) between their respective tags. Refer to BBCode help topic on how to post. Use the "Preview Post" button to make sure the code is presented as you expect before hitting the "Post Reply/Thread" button.