Open wesleytian opened 5 years ago
Preprocess the following features:
u'geoNetwork.city', u'geoNetwork.cityId', u'geoNetwork.continent',
Standardization: http://scikit-learn.org/stable/modules/preprocessing.html#standardization-or-mean-removal-and-variance-scaling
Impute missing values: http://scikit-learn.org/stable/modules/impute.html
Normalization: http://scikit-learn.org/stable/modules/preprocessing.html#normalization
Encode categorical features (optional): http://scikit-learn.org/stable/modules/preprocessing.html#encoding-categorical-features
Discretization (optional): http://scikit-learn.org/stable/modules/preprocessing.html#discretization
http://scikit-learn.org/stable/modules/preprocessing.html
It seems that the values of feature geoNetwork.cityId in the dataset are all missing, how to deal with that?
Preprocess the following features:
u'geoNetwork.city', u'geoNetwork.cityId', u'geoNetwork.continent',
Standardization: http://scikit-learn.org/stable/modules/preprocessing.html#standardization-or-mean-removal-and-variance-scaling
Impute missing values: http://scikit-learn.org/stable/modules/impute.html
Normalization: http://scikit-learn.org/stable/modules/preprocessing.html#normalization
Encode categorical features (optional): http://scikit-learn.org/stable/modules/preprocessing.html#encoding-categorical-features
Discretization (optional): http://scikit-learn.org/stable/modules/preprocessing.html#discretization
http://scikit-learn.org/stable/modules/preprocessing.html