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Questions - hyperparameters

How can I find the optimal number of topics in LDA with scikit-learn?

I'm computing topic models through scikit-learn with this script (I'm starting with a dataset "df" which has one document per row in the column "Text") from sklearn.decomposition i...
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Himan

optimization

scikit-learn

lda

topic-modeling

hyperparameters

Votes: 0

Answers: 0

How do you get the test error metrics from a `tune_grid` object?

I am confused by the output of tune::tune_grid(). Essentially, I would like to get the Residual Mean Squared Errors (rmse's) for any given set of hyperparameters in the grid. For example, the followin...
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Arturo Sbr

r

machine-learning

hyperparameters

Votes: 0

Answers: 1

Latest Answer

In the ridge_grid$.metrics you get all the holdout performance estimates for each parameter. To get the average metric value for each parameter combination, you can use collect_metric(): estimates <...
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Quinten

How to repeat a trial?

I would like to know if Optuna offers an option to repeat each trial five times or more to get the average performance of the network over different initial weights.
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Henrique Toste

neural-network

hyperparameters

optuna

Votes: 0

Answers: 1

Latest Answer

No. If you want to measure an average of multiple runs, update your objective to repeat your computation inside a trial. A simple example could be the following: NUM_RUNS = 5 def objective(trial: Tr...
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himkt

Keras Hyperband tuner for CNN—categorical accuracy always equals to 1/3

I am attempting to build and optimise a CNN for classification of pneumonia types (bacterial / viral / no pneumonia) using the "Chest X-Ray Images (Pneumonia) with new class” Kaggle dateset (http...
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jkosciel

python

tensorflow

keras

conv-neural-network

hyperparameters

Votes: 0

Answers: 0

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