-
### ML-Crate Repository (Proposing new issue)
:red_circle: **Project Title** : Mushroom Binary Classification
:red_circle: **Aim** : to classify mushrooms as edible or poisonous
:red_circle: **Dat…
-
### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Employee Turnover
:red_circle: **Aim** : Predict Employee Turnover with scikitlearn
:red_circle: **Dat…
-
Does xorbits support sklearn and which algorithms are supported?
-
**Describe the use case example you want to see**
A SageMaker Pipeline to train, evaluate, and register a model using one (or more?) of the new JumpStart-based [built-in algorithms for tabular data…
-
**Describe the bug**
ParamValidationError while prediction
Also the hyperparameter is not parsing during model training
**Expected behavior**
pediction of no:of days(using Xgboost regression bu…
-
First of all thanks for such a great library and your continuous support. I am working on predictions with uncertainty using the NGBoost Regressor and want to improve the accuracy of predictions. My a…
-
Currently, there are two options “DRF”, or “GBM” as possible values to assign to the algorithm parameter for Rulefit. Adding XGBoost as another option to the algorithm parameter would be great.
-
Let is assume I have a dataset with 3 independent valiables/predictors/features. So far I used code along those lines successfully:
```
hyperparameters = {
'max_depth': '10',
'nu…
-
# How to Understand XGBoost | Random Realizations
In-depth intuition and mathematical derivation of the XGBoost algorithm
[https://blog.mattbowers.dev/how-to-understand-xgboost](https://blog.mattbow…
-
Since the XGBoost 1.6, we have been working on having multi-output support for the tree model. In 2.0, we will have the initial implementation for the vector-leaf-based multi-output model. This issue …