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| # | |
| # PREDICTING LONG TERM CUSTOMER VALUE WITH BTYD PACKAGE | |
| # Pareto/NBD (negative binomial distribution) modeling of | |
| # repeat-buying behavior in a noncontractual setting | |
| # | |
| # Matthew Baggott, matt@baggott.net | |
| # | |
| # Accompanying slides at: | |
| # http://www.slideshare.net/mattbagg/baggott-predict-customerinrpart1# | |
| # |
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| /* | |
| glog-example | |
| ------------ | |
| background | |
| --- | |
| You probably want to read the source code comments at the top of the glog.go file in | |
| the golang/glog repository on github.com. Located here: https://github.com/golang/glog/blob/master/glog.go | |
| setup |
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| My name is {{.Name}} and I'm {{.Age}} years old!! |
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| package main | |
| import ( | |
| "bufio" | |
| "encoding/csv" | |
| "encoding/json" | |
| "fmt" | |
| "io" | |
| "os" | |
| "path/filepath" |
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