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### Issue Description
The linear regression tutorial has been updated in branch ot-linear-reg-tutorial to have interactive
plotting. The notebook shows poor mixing of model chains except when using …
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Our Mean square value is 0.004099985307764925
The visualization graph is the backend channel (First model jupyter notebook)
@1978abhay
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Hi there,
I am just wonder if there are any way to do local linear regression or local polynomial regression using Accord.Net. I was able to find that the class IterativeReweightedLeastSquares coul…
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In criterion, least-square methods were used to fit lines and get linear regression. However, the "white noise" assumption cannot be made, as the expected value of bias (distribution) is not zero.
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# Linear Regression Model | Gunu's AI Log
이번 시간에는 Linear Regression Model에 대해서 알아보겠습니다.
Linear Regression Model은 선형 회귀 모델로 다음과 같은 Hypothesis를 갖습니다. Category The Basic Description of Linear Regression…
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feedback:
- add input/output data in the description, problem statement
- reconsider performance metrics r2/mse- what would be a reasonable performance to expect for these models? how to baseline th…
iglee updated
2 years ago
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TLDR so far: sklearn uses SVD which is more numerically stable, but perhaps it should default to something quicker such as suggested below unless SVD is needed. Later post contains detailed suggestion…
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Use any dataset and plot a linear regression plot.
Use python and jupyter notebook for all issues in this repo.
The notebook should have the image of the final plot.
http://scikit-learn.org/st…
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Hi! Can I derive the uncertainty of coefficients when using `astroML.linear_model.LinearRegressionwithErrors` or `astroML.linear_model.LinearRegression` ?