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Update app.py
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app.py
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@@ -8,10 +8,10 @@ st_col_text = st.columns(1)[0]
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st.markdown(r"""
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Squared Exponential Kernel is formulated as $K(x, x') = \sigma_f^2 \exp \left[\frac{-(x - x')^2}{\ell^2}\right]$ where, $\ell$ is lengthscale and $\sigma_f^2$ is variance.
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\text{Prior:} \mathbf{f} &\sim \mathcal{N}(\boldsymbol{0}, K) \\
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\text{Likelihood:} \mathbf{y} &\sim \mathcal{N}(\mathbf{f}, \sigma_n^2)
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where $\sigma_n^2$ is known as noise variance or likelihood noise.
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""")
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st.markdown(r"""
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Squared Exponential Kernel is formulated as $K(x, x') = \sigma_f^2 \exp \left[\frac{-(x - x')^2}{\ell^2}\right]$ where, $\ell$ is lengthscale and $\sigma_f^2$ is variance.
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$$
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\text{Prior:} \mathbf{f} &\sim \mathcal{N}(\boldsymbol{0}, K) \\
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\text{Likelihood:} \mathbf{y} &\sim \mathcal{N}(\mathbf{f}, \sigma_n^2)
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$$
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where $\sigma_n^2$ is known as noise variance or likelihood noise.
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""")
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