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Fix the MLR of this project
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### Description
Constrained Multiple Regression
### Purpose
Returns Based Style Analysis
### Use-case
The analysis is used to determine a Fund's market exposures, so that it may more effeciently …
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It looks like we can still have misspelled, incorrect keywords in `fit` of linear regression models.
https://stackoverflow.com/questions/75842157/results-summary-reporting-z-instead-of-t-value-for-mu…
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# 머신러닝
사람이 경험을 쌓고 머리가 좋아질때 우리는 그것을 '학습' 이라고한다. 사람은 학습된 지능으로 일을 하는데요, 인간이 하는일을 기계가 하도록 하기위해 기계를 학습시키는것 , 그것이 머신러닝(기계학습)입니다. 무언가를 판단해야할때 너무 많은 기준과 규칙이 있다면, 인간은 학습하고 판단하기를 어려워하고 많은 시간을 필요로하지만, 기계는 그렇지…
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Hi!
First of all, great package!
I just wanted to ask if it's possible to add a multiple dataset version for the linear regression version of the NPP? This would be a great enhancement!
Best w…
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#### Description
With `MultiOutputRegressor.fit`, It would be nice to be able to provide one `sample_weight` vector per output. The gain would just be the ease of use when you have several regression…
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**Describe the problem.**
Regression should be available in PlotToolPro.
**Describe the solution you'd like**
Add a class in gs-quant (constructor in PlotToolPro) for the model fitting which has …
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### Captchas
- [X] I have read the instructions.
- [X] I have searched existing issues and avoided creating duplicates.
- [X] I am not filing an enhancement request.
### What happened?
I have enabl…
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Some ideas for some example inverse problems that we should explain and implement in the book. Ideally, there should be problems from multiple branches of geophysics and both linear and non-linear pro…
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In IMS we're using residuals vs. predicted. In multiple regression chapters of this book we're also using residuals vs. predicted. We should use those (as opposed to residuals vs. x) in the simple lin…