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print(X_all.dtypes)
a coluna overtime está como objeto
NumCompaniesWorked int64
OverTime object
PercentSalaryHike int64
PerformanceRating int64
Tive o mesmo erro troque o nome da variáveis , coloquei X, x, Nada resolveu.
Reuniciei a maquina, o collab, tudo
A mensagem diz que tem dados em formato de string provavelmente no x_cat.
Reconverti tudo mas deu o mesmo erro
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TypeError Traceback (most recent call last)
<ipython-input-75-3e293ed36e51> in <cell line: 3>()
1 from sklearn.preprocessing import MinMaxScaler
2 scaler = MinMaxScaler()
—-> 3 X = scaler.fit_transform(X_all)6 frames
/usr/local/lib/python3.10/dist-packages/sklearn/utils/validation.py in _get_feature_names(X)
1901 # mixed type of string and non-string is not supported
1902 if len(types) > 1 and “str” in types:
-> 1903 raise TypeError(
1904 “Feature names are only supported if all input features have string names, ”
1905 f”but your input has {types} as feature name / column name types. ”TypeError: Feature names are only supported if all input features have string names, but your input has [‘int’, ‘str’] as feature name / column name types. If you want feature names to be stored and validated, you must convert them all to strings, by using X.columns = X.columns.astype(str) for example. Otherwise you can remove feature / column names from your input data, or convert them all to a non-string data type.
