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Hi there,
Can I use the function 'stabsel' for multinomial classification after factorizing the class?
If so, how does this compare to 'RandomizedLogisticRegression' from sklearn?
Thank yo…
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Hi Sir,
I Try to get my PMML file for a Multinomial logistic Regression with Iris data, but i think that the function toPMMLBytes take not in consideration the InterceptVector
Ithink that the probl…
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Spark 2.2 evolves GBT classification by allowing two new output columns: `raw prediction` and `probability`.
Per Spark docs:
- raw predictions - confidence for each class (type - Vector)
- probabi…
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'multinomial' is typically evaluated using a score like accuracy or F1: deviance and pseudo_R2 are not common.
cc @pavanramkumar
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Hello,
This algorithm (`multiclass classification`) is available in CRAN since 2015 and seems to be specially suitable to _p>>n_ cases :
**msgl**: High Dimensional Multiclass Classification Usin…
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hi,
I used this algorithm in a python program.
http://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html
solver: ‘newton-cg’ or ‘lbfgs’
I am looking for a "multino…
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Installation from Options->Add-Ons in Orange, fails with error below:
```
Collecting Orange3-Timeseries
Using cached Orange3-Timeseries-0.3.2.tar.gz
Requirement already satisfied: Orange3 in c…
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Hi,
I am trying to create a multinomial regression model using Edward. The equivalent Stan code can be seen at https://gist.github.com/demodw/20d95f0fdd54624d14aa2983e14d71f5.
In my very naive attem…
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The examples look different on the current dev website, in particular the classifier comparison that's on the landing pages looks a bit odd now:
http://scikit-learn.org/dev/auto_examples/classificati…
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Since we cannot impose strict 0 boundary in the default loss function(quadratic), we cannot actually guarantee the output to be always positive. This is an issue since we should never allow negative d…