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import streamlit as st
import pandas as pd
import numpy as np
import pennylane as qml
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression
fro…
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**Summary:**
The paper by Justin Klip and Dhruv Gupta analyzes polling trends for Kamala Harris and Joe Biden during the 2024 U.S. Presidential Election using both linear and Bayesian logistic regres…
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This issue splits #5.
Separately implement linear variants of simple Rasch models:
## TODO
- [ ] Linear Logistic Test Model
- [ ] Linear Rating Scale Model
- [ ] Linear Partial Credit Model
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Just wondering if there are any plans to implement logistic mixed models (in addition to existing linear models) for association testing?
As the documentation mentions, using a linear model with lo…
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**Version 0.2**
Id | Models | Code | Test | Documentation
--- | ---------------------------------- | -------- |--------|--------------…
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# Import necessary libraries
import pandas as pd
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.model_selection import train_test_split
from sklearn.naive_bayes import Multin…
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### Description
Enhance existing normality testing and mirror functionality available in other modules
### Purpose
_No response_
### Use-case
_No response_
### Is your feature request related to…
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Preview of the error:
![image](https://user-images.githubusercontent.com/22552445/132767824-2af2d1c6-46ef-49f7-ab06-0e3392615ce0.png)
We've noticed this for several of our perf testing datasets. O…
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``` r
library(nlme) ## mixed models with more advanced covariance structures
library(lme4) ## mixed models for glm
library(mlogit) ## multinomial (mixed) logistic regression
library(mnlogit) ## multi…
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I currently work on the project of "Autism gene classifier " which is a binary-classification system .. I have a gene dataset which have columns gene-symbol and syndromic ( 0 and 1) ..
The Model i …