-
```
What version of the product are you using? On what operating system?
Windows-Precompiled-RF_MexStandalone-v0.02-\RF_MexStandalone-v0.02-precompiled
If I want to use Stratified Sampling for spli…
-
```
What version of the product are you using? On what operating system?
Windows-Precompiled-RF_MexStandalone-v0.02-\RF_MexStandalone-v0.02-precompiled
If I want to use Stratified Sampling for spli…
-
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…
-
```
What version of the product are you using? On what operating system?
Windows-Precompiled-RF_MexStandalone-v0.02-\RF_MexStandalone-v0.02-precompiled
If I want to use Stratified Sampling for spli…
-
Hello every body
I 'm using cross validation(cv) for a classification problem, I spilt my data into test and train, I used train for cv model, and test data for inference step.
my code for cv and ea…
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**Problem Description**
It would be great if Probatus would give the metric (including volatility) over time so that eventual drops in model performance can be spotted easily. The time aggregation le…
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Hi,
I've been using mallet quite a bit and while looking around at the code, I saw that when it comes to Cross Validation the data is randomly distributed into folds. Also, I noticed the following …
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## Description
The cross-validation functions in the R and Python packages ([here](https://github.com/microsoft/LightGBM/blob/da3465cbf1d1cf43e0d14908f110814e960905bc/python-package/lightgbm/engine.p…
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In the code where you've shown how to apply stratified k-fold cross validation to a regression problem, I noticed a small bug.
```def create_folds(data):
# we create a new column called kfold and…
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Sklearn's [HistGradientBoostingClassifier](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html) provides a `validation_score_` if a validation fracti…