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| # Usage | |
| In this visualizer, you visualize the loss and regularization of linear regression models on a given dataset. | |
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| ### Data | |
| In the data tab, generate a dataset using a custom function or upload a csv file. Make sure the function depends on `x1` and `x2`. | |
| ### Regularization | |
| Select your loss function and regularization type | |
| ### Generating plots | |
| Click **Regenerate Plots** to update plots with the current settings | |
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| ### Contour Plot | |
| The contour plot shows the loss values and the regularization norms for the linear models on the dataset. The red path shows how the loss and regularization norm values | |
| change as the regularization strength moves from 10^{-4} to 10^4 (log scale). You can see that the path intersects where the loss and regularization contours are parallel. | |
| ### Data Plot | |
| The data plot shows the data points used to compute the loss values. | |
| ### Strength Plot | |
| The strenght plot is a line plot of regularization strength vs weight value for `w1` and `w2`. These match the values shown on the red regularization path in the contour plot. | |