Warning during fit

[maciekmalachowski]

All values are strings

\\?\[C:\Users\Maciek\AppData\Roaming\mljar-studio\jlab_server\Lib\site-packages\supervised\preprocessing\preprocessing_categorical.py:74](file:///C:/Users/Maciek/AppData/Roaming/mljar-studio/jlab_server/Lib/site-packages/supervised/preprocessing/preprocessing_categorical.py#line=73): FutureWarning: Setting an item of incompatible dtype is deprecated and will raise in a future error of pandas. Value '[1 1 1 ... 0 1 1]' has dtype incompatible with category, please explicitly cast to a compatible dtype first.

Dataset: https://www.openml.org/search?type=data&status=active&sort=runs&id=40536

[pplonski]

Thank you @maciekmalachowski for reporting, could you please provide full code to reproduce the issue?

[maciekmalachowski]

@pplonski Sure, here it is:

# import packages
from sklearn.datasets import fetch_openml
from sklearn.model_selection import train_test_split
from supervised import AutoML
from sklearn.metrics import accuracy_score

# read data from openml page
data = fetch_openml(data_id=40536, as_frame=True)
X = data.data
y = data.target
y = y.astype("int")
# display data shape
print(f"Loaded X shape {X.shape}")
print(f"Loaded y shape {y.shape}")
# display first rows
X.head()

# split data
X_train, X_test, y_train, y_test = train_test_split(X, y, train_size=0.90, shuffle=True, stratify=y, random_state=42)
# display data shapes
print(f"X_train shape {X_train.shape}")
print(f"X_test shape {X_test.shape}")
print(f"y_train shape {y_train.shape}")
print(f"y_test shape {y_test.shape}")

# create automl object
automl = AutoML(total_time_limit=300, mode="Explain")
# train automl
automl.fit(X_train, y_train)

# predict with AutoML
predictions = automl.predict(X_test)
# predicted values
print(predictions)

[pplonski]

Could you please take a look at it @Marchlak

[pplonski]

good job @Marchlak 👍