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Showing posts with the label Xgboost

Windows Error Using Xgboost With Python

So I'm tackling this machine-learning problem (from a previous Kaggle competition for practice:… Read more Windows Error Using Xgboost With Python

How Can I Tell If H2o 3.11.0.266 Is Running With Gpus?

I've installed H2O 3.11.0.266 on a Ubuntu 16.04 with CUDA 8.0 and libcudnn.so.5.1.10 so I belie… Read more How Can I Tell If H2o 3.11.0.266 Is Running With Gpus?

Xgboost With Gridsearchcv, Scaling, Pca, And Early-stopping In Sklearn Pipeline

I want to combine a XGBoost model with input scaling and feature space reduction by PCA. In additio… Read more Xgboost With Gridsearchcv, Scaling, Pca, And Early-stopping In Sklearn Pipeline

Names Features Importance Plot After Preprocessing

Before building a model I make scaling like this X = StandardScaler(with_mean = 0, with_std = 1).fi… Read more Names Features Importance Plot After Preprocessing

Xgboost : The Least Populated Class In Y Has Only 1 Members, Which Is Too Few

Im using Xgboost implementation on sklearn for a kaggle's competition. However, im getting this… Read more Xgboost : The Least Populated Class In Y Has Only 1 Members, Which Is Too Few

Visualize Strengths And Weaknesses Of A Sample From Pre-trained Model

Let's say I'm trying to predict an apartment price. So, I have a lot of labeled data, where… Read more Visualize Strengths And Weaknesses Of A Sample From Pre-trained Model