Open wesleytian opened 5 years ago
Preprocess the following features:
u'geoNetwork.networkDomain', u'geoNetwork.networkLocation', u'geoNetwork.region', u'geoNetwork.subContinent',
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
If for a certain fullVisitorID, multiple records with different geoNetwork value is found, how should we deal with this? Do we just take the majority value?
Preprocess the following features:
u'geoNetwork.networkDomain', u'geoNetwork.networkLocation', u'geoNetwork.region', u'geoNetwork.subContinent',
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