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Allow teams to enter both their offensive and defensive playbooks to a new Table called Playbook. Through this we will link the linear regression models that define the best remedy for each encounter.
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We have been using the standard OLS version of R^2, which is 1-SSE/SST. However, as [~accountid:557058:48e89f1c-a013-4bf8-9fc5-3a33bb40825e] pointed out, this is not appropriate for non-linear models…
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Hi @dllussier!
My team and I have come up with a variety of classifier models from [this article](https://github.com/orgs/brainhack-school2020/teams/url) and I was wondering if you had some suggesti…
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## Summary
Be able to train a model using the following workflow:
- select goal
- select model to use
- they cannot use a regression model for a classification problem
- process data for model
…
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Hello everyone !
I am both a beginner in bayesian stats and probabilistic programming,
I am trying to do **simple linear regression with a toy dataset with a predefined prior on the bias**.
So…
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Determine which model works best for features: [PS, T, U, and V] and label: PTTEND
PTTEND (T total physics tendency) is the result of the CAM's processing of the PS (surface pressure), T (temperatu…
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Browser & OS (see also https://www.whatismybrowser.com/): N/A:Windows
## Describe the bug
I'm getting `HTTPError: 504 Server Error: Gateway Time-out for url: https://zenodo.org/api/files/38a5a2f8-…
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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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You cover LOESS, polynomials and breakpoint modelling nonlinear patterns, but oddly do not cover splines (breakpoint modelling is a subset of regression splines limited to linear, slope = 0 models) in…
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(parking some references)
previously I only looked at model averaging in linear models. There is also a literature for Poisson, discrete and other nonlinear models.
Zhang, Xinyu, and Chu-An Liu …