RecursionError: maximum recursion depth exceeded

[toncho11]

scikeras version 0.9 installed with pip

This is my code:

from pandas import read_csv
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense
from scikeras.wrappers import KerasClassifier
from sklearn.model_selection import cross_val_score
from sklearn.preprocessing import LabelEncoder
from sklearn.model_selection import StratifiedKFold

# load dataset
dataframe = read_csv("sonar.csv", header=None)
dataset = dataframe.values

# split into input (X) and output (Y) variables
X = dataset[:,0:60].astype(float)
Y = dataset[:,60]

# encode class values as integers
encoder = LabelEncoder()
encoder.fit(Y)
encoded_Y = encoder.transform(Y)

# baseline model
def create_baseline():
    # create model
    model = Sequential()
    model.add(Dense(60, input_shape=(60,), activation='relu'))
    model.add(Dense(1, activation='sigmoid'))
    # Compile model
    model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])
    return model

# evaluate model with standardized dataset

estimator = KerasClassifier(model=create_baseline, epochs=100, batch_size=5, verbose=0)

kfold = StratifiedKFold(n_splits=10, shuffle=True)

results = cross_val_score(estimator, X, encoded_Y, cv=kfold)
print("Baseline: %.2f%% (%.2f%%)" % (results.mean()*100, results.std()*100))

It gives: return _abc_subclasscheck(cls, subclass) RecursionError: maximum recursion depth exceeded

This is the dataset: sonar.csv

[toncho11]

Solved: after restarting the python kernel You can add this as a test though.