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Let's consider a multi-spec (compound) schema:
```json
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$ref": "#/$defs/draft2019",
"$defs": {
"draft2019": {
"$sche…
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Es necesario tener un set de validación si hago cross validation?
Gracias.
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Hola, tengo una duda respecto al enunciado, los parámetros se "tunean" usando un set de validación extraído de el de entrenamiento o en el mismo set de entrenamiento completo?
Probe tuneando paráme…
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Dear author, thank you for creating this valuable tool.
I would like to know how to run this method using 5-fold or 10-fold cross-validation, as it can help me determine the optimal parameters.
I ho…
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GPEP now has leave-one-out or k-fold cross validation for spatial regression. The ensemble estimation can also benefit from this ability.
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Hi - is cross-validation possible instead of using a separate validation set (without having to modify the core delivered code)? Or what about bootstrapping?
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Hi AutoGluon team,
I'm using TabularPredictor for temporally ordered tabular data and need more flexible cross-validation options. The current CV methods and "groups" parameter don't suffice for ma…
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Hi,
I have two questions:
First : Why didn't you use K Fold Cross Validation?
Second : What is the reason use different learning rate for classifier? Is it for faster convergence?
I am tryin…
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One more thing you need to work on... very important! You need to do cross validation. That is, you need to repeat the same analysis multiple time (with different data each time) to make sure that we …
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Are you currently using any form of CV?
It kind of looks like you are using a holdout set for early stopping and then use this holdout set for the optimization.