Andrea Dal Pozzolo dalpozz
khuangaf
/ CategoricalEncoder.py
Last active
March 31, 2019 19:19
This class is intended for faster and simpler categorical/ label encoding on large data, in which sklearn's LabelEncoder might be too slow.
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| ''' | |
| Author: Kung-hsiang, Huang (Steeve) | |
| Date: 2019/Mar/15 | |
| ''' | |
| class CategoricalEncoder(): | |
| ''' | |
| This class is for those operating on large data, in which sklearn's LabelEncoder class may take too much time. | |
| This encoder is only suitable for 1-d array/ list. You may modify it to become n-d compatible. | |
| ''' |
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| # go to 'https://developers.facebook.com/tools/explorer' to get your access token | |
| access_token <- "******************* INPUT YOUR ACCESS TOKEN ******************************" | |
| require(RCurl) | |
| require(rjson) | |
| # Facebook json function copied from original (Romain Francois) post | |
| facebook <- function( path = "me", access_token, options){ | |
| if( !missing(options) ){ | |
| options <- sprintf( "?%s", paste( names(options), "=", unlist(options), collapse = "&", sep = "" ) ) |