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There are some cases where a hyperparameter is a range of values. An example of this is the `quantile_range` in [scikit-learn Robust Scaler](https://scikit-learn.org/stable/modules/generated/sklearn.p…
csala updated
5 years ago
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Here is a non-inclusive list of parameters for which different values should be tested:
- learning rate
- dropout
- number of epochs
- encoder and decoder optimizers
Both a grid search and a …
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Dear author, thanks for publishing the code. I try to reproduce the exp results in the paper, but fail to get the accuracy reported in the paper. I wonder if you can tell me the hyperparameters in tr…
wjxts updated
2 years ago
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Some models allow infinite dimensional hyper-parameters.
**Eg 1**: [XGBoost](https://juliacomputing.com/blog/2020/02/24/ad-xgboost.html) allows custom loss functions. (As does @xiaodaigh's [JLBoost.…
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Hi, I am trying to reproduce the results.
May I get the hyperparameters for ImageNet experiment?
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Play with the simulation hyperparameters in the [live demo](https://smoren.github.io/molecular-ts/) and copy links to interesting worlds here.
![image](https://github.com/Smoren/molecular-ts/assets…
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## 🚀 Feature
Make it possible to call `save_hyperparameters` from any hook in the `LightningModule`.
### Motivation
Sometimes the dataset has hyperparameters that should be logged. However, t…
cemde updated
2 weeks ago
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**SageMaker Processing Job doesn't support FastFile Input Mode**
This might be the issue only for the step function, and python-sdk might provide the FastFile mode. However it doesn't make sense to m…
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Hi, I want to know about the hyperparameters that used to train other methods.
Are these methods well trained?
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Hello @reiinakano
I have an issue with tuple hyperparameters. I think the bracket are ommited during the training
`from gplearn.genetic import SymbolicRegressor
base_learner = SymbolicRegresso…