Miguel Trejo Marrufo
Miguel Trejo Marrufo
## Summary As commented in PR !5052 [here](https://github.com/microsoft/LightGBM/pull/5052#issuecomment-1065948234) the Sklearn Regressor `LGBMModel` method `fit` process metrics from params using `_separate_metrics_list` and `_concat_params_metrics`
If argument `feature_names` in function `eli5.show_weights()` is `pandas.core.indexes.base.Index` raises an `TypeError: Unexpected feature_names type`. ## To reproduce ```python import eli5 from eli5.sklearn import PermutationImportance from sklearn.ensemble import RandomForestRegressor from sklearn.model_selection...
**Is your feature request related to a problem? Please describe.** Filtering Noisy features from a set of features can be easily accomplished by adding a one or more random variables...
**Is your feature request related to a problem? Please describe.** From [Kaggle](https://www.kaggle.com/ryanholbrook/clustering-with-k-means) > The motivating idea for adding cluster labels is that the clusters will break up complicated relationships across...
**Is your feature request related to a problem? Please describe.** Currently `SmartCorrelatedFeatures` takes correlation measures that have a similar range (between -1 and +1) and select features by a fixed...
**Is your feature request related to a problem? Please describe.** Aggregating variables by a single or multiple category is a simple task ``` df.groupby('cat')["num_var"].transform("mean") ``` however to make it compatible...
**Is your feature request related to a problem? Please describe.** LightGBM has the option to return the predicted decision tree leaf for every model. From the [documentation](https://lightgbm.readthedocs.io/en/latest/pythonapi/lightgbm.LGBMRegressor.html#lightgbm.LGBMRegressor.predict) > If pred_leaf=True,...
**Is your feature request related to a problem? Please describe.** Is possible to send a Slack Notification that includes information about Data Validation to be aware of issues arising on...
**Is your feature request related to a problem? Please describe.** Data Quality Monitoring include the option to create an `ExpectationSuite` based on GE. For numerical or categorical features is convenient...
## Description Changes in refitted booster due to different dataset are only true if `init_score=0` and `decay_rate=0`. Quoting @jmoralez > ... it seems that it sets init_score=0. So if we...