-
Linear Regression has been implemented on single core.
Exact same output upto 6 decimal places :D .
To test
```sh
./build/faster_lmm_d --geno=data/gemma/BXD_geno.txt.gz --pheno=data/gemma/BXD.ph…
-
Really liking this library; thanks!
I'm looking to do multiple logistic regression, where my single dependent variable has a binary outcome: 0 or 1, with multiple explanatory variables (floating nu…
-
In addition to doing SGD for linear regression, we could do logistic regression as well. I've found a data set for that purpose, which is also much larger than the data set we're using for linear regr…
-
Does the sm.Logit() function automatically perform multi-variable/multiple logistic regression so that we can incorporate multiple covariates/predictors and the estimated coefficients are adjusted for…
-
The tutorial gives an example of training a logistic regression model on encrypted data. Many papers have implemented CNN training on the encrypted MNIST dataset. However, I can only find open-source …
-
This issue tracks the skills I need to learn to be a Data Scientist.
-
The Logistic Regression have to done
-
### Is your feature request related to a problem?
We have four different regressors, that are essentially all linear regression with various regularization.
### Desired solution
Combine them …
-
Currently the app only supports linear regression for the outcome model.
- [x] Add logistic regression
- [ ] Add Random Forest
- [ ] Add GBM
- [ ] Add CART
See also #96
-
- [x] 강의 듣기
- [x] 중요 포인트 간단 요약
Logistic Function:
비선형의 미분이 가능하고, 전체 구간에 대해서 f(x)값이 특정 범위에 있어야 하는 함수로, 1 / (1 + e^-x).
Logistic Regression:
Binomial 또는 Multinomial에 사용되는 Probabilistic Classif…