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**Is your feature request related to a problem? Please describe.**
The privacy-preserving machine learning framwork in ARX uses k-fold cross-validation to quantify the performance of privacy-preser…
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Hello, I'm an undergraduate trying to run the code from your paper "Attentional Encoder Network for Targeted Sentiment Classification", thank you so much for your work, but I am having trouble getting…
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We want something like this
{code}
Usage:
h2o.deeplearning(x, y, training_frame, model_id = "",
overwrite_with_best_model, validation_frame = NULL, checkpoint = NULL,
autoe…
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Hello Laurae, thanks for your response earlier about my question about emulating daForest.
This time I have a question sort of related to validation_data=NULL #6, in that I want to make sure I unde…
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### LSTM
Para cada [medida de similaridade](https://github.com/HaraHeique/TCC-rede-neural-siamesa/issues/19) utilizada fazer os ajustes dos seguintes hiperparâmetros:
- Otimizador (optimizer);
…
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### Describe the workflow you want to enable
What roughly happens in cross-validation as of now:
```
# k-fold cross validation
scores = list()
kfold = KFold(n_splits=10, shuffle=True)
# e…
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It is important to understand where each of the modules and the pipeline itself can be improved and optimised. Evaluation scripts test and run the modules over real-world datasets and log and compare …
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Hello Community,
I had a doubt which I would be very happy if anybody can help.
When forming the dmatrix of the train dataset I used the parameter "weight" to set the weight of each sample in my t…
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Hi there,
The rpart function [xpred.rpart ](https://www.rdocumentation.org/packages/rpart/versions/4.1-11/topics/xpred.rpart) is supposed to return predicted values from a tree under cross-validati…
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I think that trainer class can be made more convenient and useful for more people. The most convenient feature that could be helpful in many applications is how hyperparameters are treated and automat…