I’m new to the Data Science field and I’m trying to apply XGBoost in a table having 5 rows × 46 columns and my last column is my target column. and the error I’m getting is Can anyone help me with the resolution? Answer I think you need to have the class numerotated from 0 to n-1 where n is
Tag: xgboost
entry_point file using XGBoost as a framework in sagemaker
Looking at the following source code taken from here (SDK v2): I wonder where the your_xgboost_abalone_script.py file has to be placed please? So far I used XGBoost as a built-in algorithm from my local machine with similar code (i.e. I span up a training job remotely). Thanks! PS: Looking at this, and source…
Random search grid not displaying scoring metric
I want to do a grid search of some few hyperparameters through a XGBClassifier of a binary class, but whenever i run it the score value (roc_auc) is not being display. I read in other question that this can be related to some error in model training but i am not sure which one is in this case. My model
cannot load pickle files for xgboost images of version > 1.2-2 in sagemaker – UnpicklingError
I can train a XGBoost model using Sagemaker images like so: This work for all versions 1.2-2, 1.3-1 and 1.5-1. Unfortunately the following code only works for version 1.2-2: Otherwise I get a: Am I missing something? Is my “pickle loading code wrong”? The version of xgboost is 1.6.0 where I run th…
How to get SHAP values for each class on a multiclass classification problem in python
I have the following dataframe: For which I want to run a classification algorithm in order to predict the 3 classes So I split my dataset into train and test and I run an xgboost Now I would like to get the mean SHAP values for each class, instead of the mean from the absolute SHAP values generated from this
Error with precision_score of XGBoost classifier with RandomizedSearchCV
I’m trying to make a classifier with XGBoost, I fit it with RandomizedSearchCV. Here is the code of my function: When I run the code, I get an error, reported below: When I do the same thing but with GridSearchCV instead of RandomizedSearchCV, the code runs without any problems! Answer It’s not pr…
Why are shap values changing every time I call shap.plots.beeswarm?
So here’s my code using shap : Since I just plot three times the same shape values, I’d expect the three plots to be the same. However, it keeps on changing. After some research, it seems that a new value appear at the top at each call, but why ? Is it a bug in shap ? Edit 1 :
XGBoost Regressor cannot fit the model using string data
I’m trying to use XGBoost to predict a one target (one attribute) dataframe. Below my code. I run it on Colab However, the following error is returned: if I change the last line to I get this error: What I’m doing wrong? any clue? Answer XGBoost cannot handle categorical variables, so they need to…
Perform incremental learning of XGBClassifier
After referring to this link I was able to successfully implement incremental learning using XGBoost. I want to build a classifier and need to check the predict probabilities i.e. predict_proba() method. This is not possible if I use XGBoost. While implementing XGBClassifier.fit() instead of XGBoost.train() I…
Input data cannot be a list XGBoost
Here is my code. and the error I’m getting is TypeError: Input data can not be a list. The data coming from test_data is a csv with a team name and obs which is a float like this NYY 0.324 Every way to solve it I’ve seen is just to put it in a 2d array like I did –