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Only the GLM and Stacked Ensemble pages have an Example section that shows an example of the R and Python code to call the function.
Can we add an example section to the other Supervised Learning a…
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**Describe the bug**
When Batch Transform pulls the `model.tar.gz` archive, extracts, it fails to read the model properly. For example it tries to load unrelated files like `requirements.txt`.
Mod…
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In some use cases when there are many features in a dataset and not all of them are of equal importance. I would like the mljar-supervised to have the ability to pass feature_weights parameter. The pa…
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The Criteo dataset is a 1TB dump of features around advertisements and whether or not someone clicked on the ad. It has a both dense and categorical/sparse data. I believe that the data is freely av…
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Hi all,
Long fan of your efforts with the Xgboost algorithm/implementation. It is super fast and memory-friendly.
I found a problem when trying to see feature importance when using the `xgb.cv`…
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Hello,
I was wondering if there is a way to use custom models with the Mljar framework? Let's say if I develop a model compatible with sklearn Pipeline
https://scikit-learn.org/stable/developer…
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There is an inconsistency in algorithm names (and the selection available) across the following parameters. Let's choose a single standard and support backwards compatibility. At least between Grid …
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**Algorithms**
* Linear Model
- [x] Ordinary Least Squared Linear Regression
- [x] Gradient Descent Linear Regression
- [x] Stochastic Gradient Descent Linear Regression
- [x] Logist…
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Thank you very much for this awesome work!
Is it possible to have a list of all the possible Classifiers and Regressors that TPOT's model search space consists of in a classification and regression…
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We have a java service using xgboost model to predict. The xgboost model is trained by algorithm engineers with Python and then we use xgboost4j 0.72 to load model and predict online.
After the servi…