python - Feature importance using lightgbm - Stack Overflow
Nov 21, 2018 · 8 Depending on whether we trained the model using scikit-learn or lightgbm methods, to get importance we should choose respectively feature_importances_ property or …
python - Lightgbm classifier with gpu - Stack Overflow
Feb 23, 2020 · model = lgbm.LGBMClassifier( n_estimators=1250, num_leaves=128, learning_rate=0.009, verbose=1 ) Using the LGBM classifier, is there a way to use this with GPU …
How to use GPU to train LGBM model from SynapseML
May 28, 2025 · For e.g. for the plain LightGBM library, there is an attribute called device_type which can be set to cude by device_type="cuda" but there is no such thing for the SynapseML flavor of the …
Use 'predict_contrib' in LightGBM to get SHAP-values
Nov 11, 2020 · In the LightGBM documentation it is stated that one can set predict_contrib=True to predict the SHAP-values. How do we extract the SHAP-values (apart from using the shap package)? …
python - How to apply LGBM model predict over a Pyspark Dataframe …
I have a LGBM model packed in a pickle file. This model expects 15 features, 3 of them categoric in character format (2 of them have numbers values but they aren't ordinal). For example: Categorical
python - Why can't I wrap LGBM? - Stack Overflow
Dec 31, 2024 · I'm using LGBM to forecast the relative change of a numerical quantity. I'm using the MSLE (Mean Squared Log Error) loss function to optimize my model and to get the correct scaling of …
machine learning - How to save to disk / export a lightgbm ...
Mar 17, 2019 · Hi I am unable to find a way to save a lightgbm.LGBMRegressor model to a file for later re-use.
How to Extract LGBM Model Rules of Prediction (Coefficients)
Jul 15, 2023 · How can I extract LightGBM model coefficients, rules of prediction by features? I am in insurance industry. This is absolutely necessary for strict regulatory requirements. Something like a …
python - GridSearch LightGBM with GPU - Stack Overflow
Jun 21, 2018 · To set it to 'gpu', you can configure GPU-based LGBM. A couple of community members have demonstrated how to do that here and here. The second resource also has something called …
python LightGBM reproductibility issue - Stack Overflow
Dec 9, 2019 · I am running a lightGBM on a classification problem, with crossvalidation (using sklearn) to get the optimal hyper parameters values. Although I specified the random_state when create the …