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### Description
I supposed to add several features to existing JASP-methods to make it more useful.
### Purpose
The purpose is to incerase usability of JASP.
### Use-case
_No response_
### Is y…
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Add a simple implementation for linear regression, using the optimization methods discussed in #3. I suggest starting with a very simple implementation, possibly including regularization.
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I trained the logistic regression model using the MP-SPDZ library's ml.GDLogistic() function. After loading the trained model using the following code:
```
# load the model and the parameters
pri…
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I would like to know if it is possible to recover the estimates of a simple linear regression.
I would have thought that fitting a LinearDML algorithm with (1) LinearRegression() as the model_y and …
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In the regression chapter in the underfitting/overfitting section, we're plotting predictions at the training data, so when K=1 it looks like a piecewise linear interpolation of the data instead of a …
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Please Assign the issue to me.
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I am trying to implement the calculation for simple slopes estimation for probit models in lavaan as it is currently not support in semTools (I will cross-post).
The idea is to be able to plot the…
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## Implement linear regression from scratch in a proper class format.
With function like
* fit() -> fit the model based on the input points and output points
* predict() -> predict using input da…
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오늘은 Linear Regression이 무엇인지 알아보자!
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우리가 통계를 배울때, 모집단 (population)에 대해서는 전혀 모른다고 배웠다. 모집단은 우리가 절대 알수없는 사실(Truth)이다. 예를들어 한국 남성의 평균은 몇일까? 구글에 따르면 173cm 이라고 한다. 그렇다면 이 값이 한국 모든 남성의 키를 모두 합한다은에 …