gmm for regression added #548
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moe18
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Oct 9, 2025
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looks good, just one small issue with the learn section
| ## **1. What’s a Gaussian Process?** | ||
| A **Gaussian Process** defines a distribution over functions \( f(\cdot) \). For any finite set of inputs \(X=\{x_i\}_{i=1}^n\), the function values \(f(X)\) follow a multivariate normal: | ||
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the learn section should use $$ and $ for formulas, you could check out the other learn sections to see how it is done
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i have used $ for inline mathematical expression and similarly $$ for multi line expression, check it out and let me know is there anything else to resolve
moe18
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looks great, just some small notes
| gp.fit(X_train, y_train) | ||
| X_test = np.array([[3.0]]) | ||
| mu = gp.predict(X_test) | ||
| print(f"{mu[0]:.4f}") |
| } | ||
| # Re-fit with optimal hyperparameters | ||
| self.fit(self.X_train, self.y_train) | ||
| print("Optimized Hyperparameters:", self.kernel_params) |
| @@ -0,0 +1,15 @@ | |||
| { | |||
| "id": "175", | |||
| { | ||
| "id": "175", | ||
| "title": "Gaussian Process for Regression", | ||
| "difficulty": "medium", |
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I have made all the above changes , change id to 186 and folder name also changed accordingly and removed all the print statement.
…with 186_ and also removed all the print statement
moe18
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Oct 13, 2025
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I have run this command , it is python utils/build_bundle.py && python utils/validate_questions.py running successfully. I have written code for Gaussian Mixture Model for regression.