AI dictionary · Machine learning
What is Hyperparameter?Hyperparameter kya hai?
Hyperparameter: A setting you choose before training, like learning rate or tree depth, rather than something the model learns.Training se pehle chuni setting, jaise learning rate ya tree depth, jo model khud nahi seekhta.
🧸 Think of it likeAise samjho
Like the oven temperature and timer you set before baking: the cake doesn't choose them, you do.Bake karne se pehle set kiya oven ka temperature aur timer: cake inhe nahi chunta, aap chunte ho.
📘 ExplainedVistaar se
Weights are learned; hyperparameters are chosen by you and tuned on validation data, by hand, grid search, random search or tools like Optuna. Never tune on the test set.Weights seekhe jaate hain; hyperparameters aap chunte ho aur validation data pe tune karte ho, haath se, grid search, random search ya Optuna jaise tools se. Test set pe kabhi tune mat karo.
💡 Real exampleAsli example
Trying max depth 4, 6 and 8 for a gradient boosting model.Gradient boosting model ke liye max depth 4, 6 aur 8 try karna.
📖 Learn it step by stepStep by step seekho
🔗 Related termsJude hue shabd
Questions people ask
What is Hyperparameter?
A setting you choose before training, like learning rate or tree depth, rather than something the model learns. Weights are learned; hyperparameters are chosen by you and tuned on validation data, by hand, grid search, random search or tools like Optuna. Never tune on the test set.
How can I understand Hyperparameter in simple words?
Like the oven temperature and timer you set before baking: the cake doesn't choose them, you do.
What is an example of Hyperparameter?
Trying max depth 4, 6 and 8 for a gradient boosting model.
Hyperparameter ka matlab kya hai?
Training se pehle chuni setting, jaise learning rate ya tree depth, jo model khud nahi seekhta. Bake karne se pehle set kiya oven ka temperature aur timer: cake inhe nahi chunta, aap chunte ho.
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