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####Learning Goals
Binary Classification, Logistic regression and Data Preprocessing
###Exercise Statement
Credit card fraud classification using Logistic Regression
###Prerequisites
Basic un…
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just an internal helper function. I coded it a few times but only in experimental code
Should support simulating a regression model for count data, where we don't have a good rvs, e.g. generalized …
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Hey! Let's submit some things on Kaggle!
Aaron:
- make _stratified_ cross-val stuff
- try LDA
- try benchmarking some null models - compare with Kaggle scores?
Jaime:
- check out `caret`?
- still tr…
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Hi, many thanks to the excellent package.
I'm wondering if the package is availble for multinomial logistic regression (the response variable has more than 2 levels)? The family argument only prov…
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### Description
The regression model includes frequentist, but not (yet) Bayesian logistic/generalized linear models
### Purpose
Expand JASPs excellent Bayesian capabilities further beyond linear r…
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* Currently using a matrix to store all predictions.
* Should switch to data.table, with one column per model.
* The column can be of arbitrary type (i.e., a list)) or numeric, depending on the re…
osofr updated
6 years ago
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We could add some more distributions, at least:
* t-distribution (`"student"`)
* Weibull (`"weibull"`)
Maybe also more multivariate distributions?
* multivariate t-distribution (`"mvstude…
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Hello,
I want to get a statestics for multinomial logistic regression, however I got this warnings :
![image](https://user-images.githubusercontent.com/13202562/41298452-b218385c-6e61-11e8-89c3…
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Dear @ddsjoberg
I'm currently adding support for zero-inflated models in `broom.helpers`, cf. https://github.com/larmarange/broom.helpers/pull/233
With such models, you end-up with two sets of …
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We currently have an example of a loss function for regression models. Specifically, we implement the root mean squared error.
However, we don't currently have an example of a loss function for cla…