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For Neural-Network regression prediction task cross_val_predict from SKlearn throws the error (full error further below, below the model used)
```
TypeError: can't pickle _thread.RLock objects
``…
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Using ridge regression from julearn and scikit learn directly to run brainage prediction. Data is divided into train (80%) and test (20%) sets. MAE on the test data with 2 methods is quite different.
…
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[K-fold cross validation](https://machinelearningmastery.com/k-fold-cross-validation/) (CV) is a preferred way to evaluate performance of a statistical model. CV is better than just splitting dataset …
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Hi, Is it possible or are there plans to provide kfold or time series split cross validation? Thank you
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**Bug description**
I am working with DialogFlow and I have a Standard Edition plan. I am validating the agent in the following way. First, I prepare the dataset made by the utterances which traine…
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I try to validate on my own data-sets. But when I look at the code I'm confused.
In the facenet.calculate_roc, I see
`k_fold = KFold(n_splits=nrof_folds, shuffle=False)`
But KFold is used to split…
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For a given full dataset , we split the data to train test (lets say 70-30) .
Now we perform EDA, model selection on train data.
lets say we go ahead with random forest , we would like to perfor…
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Using `loo` for model comparison and as a meta-learner. To start, we need something like:
```
model {
alpha ~ normal (pmualpha , psalpha);
beta ~ normal (pmubeta , psbeta);
y ~ normal(mu,…
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Hi everyone,
I am doing species distribution modeling (SDM) for several species and therefore using different groups of data. I did the SDM for all species using the default parameters of MaxEnt an…
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Hello everyone,
I am a bit of a beginner when it comes to ML. I can't seem to find the list of ML algorithms that TPOT uses. Can anyone list them please? Does it use catboost for example? If not, i…