Mi importación inicial se ve así y este bloque de código funciona bien.
# Libraries to help with reading and manipulating data import numpy as np import pandas as pd # Libraries to help with data visualization import matplotlib.pyplot as plt import seaborn as sns sns.set() # Removes the limit for the number of displayed columns pd.set_option("display.max_columns", None) # Sets the limit for the number of displayed rows pd.set_option("display.max_rows", 200) # to split the data into train and test from sklearn.model_selection import train_test_split # to build linear regression_model from sklearn.linear_model import LinearRegression # to check model performance from sklearn.metrics import mean_absolute_error, mean_squared_error, r2_scorePero cuando trato de seguir el comando, aparece el error ModuleNotFoundError: No hay un módulo llamado 'sklearn.externals.joblib'
Traté de usar !pip para instalar todos los módulos y otras sugerencias para este error, no funcionó. Esto es google colab, así que no estoy seguro de lo que me estoy perdiendo.
from mlxtend.feature_selection import SequentialFeatureSelector as SFSPara la segunda parte, puede hacer esto para solucionarlo, también copié el resto de su código y agregué la parte inferior.
# Libraries to help with reading and manipulating data import numpy as np import pandas as pd # Libraries to help with data visualization import matplotlib.pyplot as plt import seaborn as sns sns.set() # Removes the limit for the number of displayed columns pd.set_option("display.max_columns", None) # Sets the limit for the number of displayed rows pd.set_option("display.max_rows", 200) # to split the data into train and test from sklearn.model_selection import train_test_split # to build linear regression_model from sklearn.linear_model import LinearRegression # to check model performance from sklearn.metrics import mean_absolute_error, mean_squared_error, r2_score # I changed this part !pip install mlxtend import joblib import sys sys.modules['sklearn.externals.joblib'] = joblib from mlxtend.feature_selection import SequentialFeatureSelector as SFSesto funciona para mi.