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- [x] 1. hypothesis
- [x] 2. cost funcion
- [x] 3. Gradinet descent
- [x] 4. convex/non-convex
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# Requirements for Linear regresion model
- [ ] Normal equation implementation.
- [ ] Gradient based learning.
- [ ] At least two module implementation.
- [ ] Math documentation.
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### Description
It would be super nice in JASP to have the possibility to easy check assumptions through depictions when running a linear regression.
### Purpose
More elegant assumption testi…
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As a contributor
- explain Linear Regression basics by implementing python code from scratch
- visualize Regression line and Loss Curve
- show the effects of changing hyperparameters
- Use L1 and…
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@tdhock,
The existing interval regression models include AFT, linear, and decision tree methods. While it may seem like a straightforward approach, would it be feasible to write a paper exploring the…
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Hi Harish,
trying linear regression,
this works:
*from
partition by acct_no
order by acct_no,mydt
with
linearRegSlope(x,y) as slope,
linearRegIntercept(x,y) as intercept
select acct_no…
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### Short description of current behavior
I trained 3 models on the same task (same dataset, target and features) using the "module" argument
- Regression (ridge linear regression)
- XGBoostMixer
…
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Linera regression between the real age and the calculated age
in each of the SampleGroups and each of the clocks
לעשות עקומת רגרסיה ליניארית בין הגיל האמיתי לגיל המחושב בכל אחד מסוגי הגידול והשעוני…
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