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Posted to issues@ignite.apache.org by "Ivan Daschinskiy (Jira)" <ji...@apache.org> on 2020/11/12 07:05:00 UTC
[jira] [Comment Edited] (IGNITE-13696) [ML] Tutorial examples fails
[ https://issues.apache.org/jira/browse/IGNITE-13696?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17230393#comment-17230393 ]
Ivan Daschinskiy edited comment on IGNITE-13696 at 11/12/20, 7:04 AM:
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I'm sorry, but I suppose this is just a [MSE|https://en.wikipedia.org/wiki/Mean_squared_error] or smth like this.
was (Author: ivandasch):
I'm sorry, but I suppose this is just a [MAE|https://en.wikipedia.org/wiki/Mean_squared_error] or smth like this.
> [ML] Tutorial examples fails
> ----------------------------
>
> Key: IGNITE-13696
> URL: https://issues.apache.org/jira/browse/IGNITE-13696
> Project: Ignite
> Issue Type: Bug
> Components: examples, ml
> Affects Versions: 2.9
> Reporter: Stepan Pilschikov
> Priority: Major
>
> Trying to run Tutorial examples from repository or from binary release and meet error results. Looks like a bug
> org.apache.ignite.examples.ml.tutorial.Step_1_Read_and_Learn (all other tutorials have same issue)
> {code}
> >>> Trained model: if (x0 > 2.5000) then if (x1 > 2.5000) then if (x2 > 0.5000) then if (x1 > 4.5000) then return 0.0000 else if (x2 > 1.5000) then return 0.0000 else return 0.0000 else return 0.0000 else if (x2 > 0.5000) then if (x2 > 3.5000) then if (x1 > 0.5000) then return 0.0000 else return 0.0000 else if (x2 > 1.5000) then return 0.0000 else return 1.0000 else if (x1 > 0.5000) then if (x1 > 1.5000) then return 0.0000 else return 0.0000 else return 0.0000 else if (x2 > 0.5000) then if (x1 > 0.5000) then if (x1 > 1.5000) then if (x1 > 2.5000) then return 1.0000 else return 1.0000 else if (x2 > 3.5000) then return 0.0000 else return 1.0000 else if (x2 > 1.5000) then if (x0 > 1.5000) then return 1.0000 else return 1.0000 else if (x0 > 1.5000) then return 1.0000 else return 1.0000 else if (x0 > 1.5000) then if (x1 > 2.5000) then return 1.0000 else if (x1 > 1.5000) then return 0.0000 else return 0.0000 else if (x1 > 0.5000) then if (x1 > 1.5000) then return 1.0000 else return 1.0000 else return 1.0000
> >>> Accuracy 0.7117737003058104
> >>> Test Error 0.28822629969418956
> >>> Tutorial step 1 (read and learn) example completed.
> {code}
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