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Hi š Matt Harrison,
I'm thoroughly enjoying your book on XGBoost, but I noticed what might be data leakage during hyperparameter tuning. Specifically, on page 46, 47, 48 and 49, it seems both trainā¦
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## Describe the bug
From my experiments it seems like the sign for the Ranger is inverted. All other optimizers (including Ranger21) has steps in the opposite direction of Ranger.
Note that I'mā¦
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wandb, version 0.8.30
Python 3.8.2
Linux
### Description
When doing hyperparameter search for deep learning, individual runs tend to have some variance, that's why one usually does monte carloā¦
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As it stands, `AutoSklearnClassifier` does double-duty as an estimator (`fit`, `predict`) and hyperparameter search. Usually the latter is done with `GridSearchCV` or similar. The combined design isā¦
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Is there a way to specify partial grid search in the sweep yaml file? By partial, what I mean is -
hyperparameter1 - [v1, v2, v3, v4, v5] - there are values for hyper parameter 1 that I want to searcā¦
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Though you haven't yet done an extensive hyperparameter search, might you give us one or two examples of hyperparameter settings you have used?
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It would be great if Tango provided a simple yet general mechanism for doing hyperparameter searches. Here's an outline of how that could look š
We provide a new subcommand: `tango sweep`. This comā¦
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def f1_loss(target, pred):
return -f1_score(target, pred)
#### Instantiate a HyperoptEstimator with the search space and number of evaluations
estim = HyperoptEstimator(classifier=clf,
ā¦
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Hello there,
I am currently working on designing a 200 by 200 PE Convolution accelerator. I have taken the base template from the exercise provided and read through some documentation but my mappiā¦
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### Feature request
Hyperparameter search is a must known activity to get hyperparameters which are for optimised machine learning or deep learning model output. I was trying hyperparameter_searchā¦