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Xgboost provides regression, does this library include that feature?
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When I use XGBClassifier (from XGboost library) using any DES or DCS algorithm, I am getting a **_features_names mismatch error_**. I have pooled several other classifiers successfully. This error onl…
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/kind bug
**What steps did you take and what happened:**
I have installed Kubeflow-1.3. I could not figure out which version of kfserving it has installed by default.
Following were namespace cr…
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# ML Approach
Tree based model building: trying and testing the following learning algorithms.
- Tree Ensemble
- XGBoost
- SVM (?)
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Comparing multi-GPU dask.xgboost regressor training with single GPU xgboost training on the same sample dataset, I generally get similar RMSE results if I use the same number of boosting rounds. This …
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I have a model trainer python project that needs support for serializing XGBoost models. I am trying to call the Scala APIs via the jvm following the [XGBoostClassificationModelParitySpec](https://git…
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- [x] Talk with Flavio and Malte about how using OSSC works
- [ ] Set up a master run_all file that we can give to Flavio and Malte so they can run our code on the supercomputer. This should run all…
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add support for multinomial xgboost and gbm with monotonicity constraints
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I have a very large dataset (7 million rows, 54 features) that I would like to fit a regression model to using XGBoost. To train the best possible model, I want to use BayesSearchCV from scikit-optimi…
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how this is different from https://anaconda.org/anaconda/py-xgboost?