golearn
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Error in download golearn with 'go get'
Error in download golearn with 'go get ...' (go1.8.4)
$ go get github.com/sjwhitworth/golearn@latest
go: github.com/sjwhitworth/[email protected] requires
github.com/rocketlaunchr/[email protected] requires
github.com/blend/[email protected]: reading github.com/blend/go-sdk/go.mod at revision v1.1.1: unknown revision v1.1.1
Maybe the vision1.1.1 of go-sdk is too old to use. I don't know how to download now!
See the bug report at dataframe-go
;
add this to your go.mod
replace (
github.com/blend/go-sdk v1.1.1 => github.com/blend/go-sdk legacy-v1.1.1
)
however, there is a new error now that
go: github.com/sjwhitworth/[email protected] requires
github.com/rocketlaunchr/[email protected] requires
github.com/cnkei/[email protected]: invalid version: unknown revision 842a72f86331
needing a replace directive involving some research
github.com/cnkei/gospline v0.0.0-20191204072713-842a72f86331 => github.com/cnkei/gospline v0.0.0-20191204052713-d67fac29a294
it seems rocketlaunchr/dataframe-go
is a bit unmaintained; could rocketlaunchr/dataframe-go
be removed as a dependency from golearn
?
邮件已收到,谢谢! ——赵淼
i will use this command to get this project.
cd ~/go/src
mkdir -p github.com/sjwhitworth
git clone https://github.com/sjwhitworth/golearn.git
update repo vendor
go mod tidy
go mod vendor
to use examples
cd examples/knnclassifier
go build knnclassifier_iris.go
./knnclassifier_iris
Instances with 88 row(s) 1 attribute(s)
Attributes:
* CategoricalAttribute("Species", [Iris-setosa Iris-versicolor Iris-virginica])
Data:
Iris-setosa
Iris-virginica
Iris-virginica
Iris-versicolor
Iris-setosa
Iris-virginica
Iris-setosa
Iris-versicolor
Iris-setosa
Iris-setosa
Iris-versicolor
Iris-versicolor
Iris-versicolor
Iris-setosa
Iris-virginica
Iris-setosa
Iris-setosa
Iris-setosa
Iris-virginica
Iris-versicolor
Iris-setosa
Iris-setosa
Iris-versicolor
Iris-versicolor
Iris-virginica
Iris-virginica
Iris-setosa
Iris-virginica
Iris-versicolor
Iris-virginica
...
58 row(s) undisplayed
Reference Class True Positives False Positives True Negatives Precision Recall F1 Score
--------------- -------------- --------------- -------------- --------- ------ --------
Iris-versicolor 27 1 58 0.9643 0.9310 0.9474
Iris-setosa 30 0 58 1.0000 1.0000 1.0000
Iris-virginica 28 2 57 0.9333 0.9655 0.9492
Overall accuracy: 0.9659