I use a Mc Os with S.O. High Sierra: Version 10.13.3 Rstudio: Version 1.1.4.23

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single_prediction works for single observation, try <div class="snippet-clipbo

Error in `[.data.frame`(new_observation, colnames(ny)) : undefined columns selected about dalex HOT 5 CLOSED

ms1948 commented on August 15, 2024

Error in `[.data.frame`(new_observation, colnames(ny)) : undefined columns selected

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Comments (5)

pbiecek commented on August 15, 2024

I cannot replicate your error.
Would you give here an example that can be replicated (maybe with some public dataset)?

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ms1948 commented on August 15, 2024

In attach the R commands and the Data File. The error msg is: Error in `[.data.frame`(new_observation, colnames(ny)) : undefined columns selected

…

On Thu, Apr 5, 2018 at 11:54 AM, Przemysław Biecek ***@***.*** > wrote: I cannot replicate your error. Would you give here an example that can be replicated (maybe with some public dataset)? — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#13 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/Ag3fQSo5SllyeUIdHylnvJh8luR2Dhp1ks5tlenIgaJpZM4TBiBD> .

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pbiecek commented on August 15, 2024

@ms1948 I do not see any attachment. I think that you need to upload them through www interface of github not through email. Or send me a prv message with attachments to przemyslaw dot here biecek at gmail.

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ms1948 commented on August 15, 2024

R_Commands.txt

Data_File.xls.zip

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pbiecek commented on August 15, 2024

single_prediction works for single observation,
try

new.b <- data.frame(ArGoMe =129.6,
                    CoGo=47.4,
                    GoGn =72.3,
                    Nme =104.5,
                    NSAr = 121.5 ,
                    PPMP = 27.1,
                    PPSN = 8.7,
                    Sar = 29.2,
                    SN = 63.8,
                    SNA = 79.6,
                    SNB =79.9)
b_lm_model<- lm(BG ~ArGoMe+CoGo+GoGn+Nme+NSAr+PPMP+PPSN+Sar+SN+SNA+SNB , data = b)
b_lm_explainer <- explain(b_lm_model, data = b, label = "model_4v")
b_lm_predict <- single_prediction(b_lm_explainer, observation = new.b)
b_lm_predict

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