interpret
interpret copied to clipboard
interpretml
Fit interpretable models. Explain blackbox machine learning.
Hello, I'm having trouble running logistic regression with randomized search cv. `param_test = {'penalty': ['l1', 'l2'], 'C': [1 , 0.5, 0.1, 0.05, 0.01], 'class_weight': ['balanced', None], 'solver': ['liblinear', 'lbfgs'], 'max_iter':...
show(EBM_local_explanation) to see local prediction, currently 0: Predicted (0.0) | Prscore(0.98)| Actual (0.0) 1: Predicted (0.0) | Prscore(0.98)| Actual (0.0) is there any way to add Names of IDs/index ?...
So got the error on Kaggle `Error occurred while loading the notebook: Uncaught Error: Script error for "interpret-inline" http://requirejs.org/docs/errors.html#scripterror` After changing the number of interactions from 2 to 4 and...
Hello, I'm running the following code for an XGBoost + PCA pipeline, and trying to get the Morris Sensitivity for the original features, as demonstrated on this page: https://interpret.ml/docs/msa.html In...
Well played @interpret-ml - with a title of "Welcome to The Much Anticipated Interpret Documentation!" i was excited to, well, to interpret it all. And I did, and it's good....
First of all, I'm impressed by the visualizations of the package. Thanks a lot for all your efforts. I do have a question regarding the contrast of the heatmaps. The...
I'm fitting an EBM multiclass classifier, and am getting feature curves with values in excess of 10^10. Is there a way to fix this somehow? Ideally I could specify a...
from interpret.data import ClassHistogram hist = ClassHistogram().explain_data(X_train, y_train, name = 'ESR_Count') show(hist) --------------------------------------------------------------------------- IndexError Traceback (most recent call last) in ----> 1 show(hist) C:\anaconda\lib\site-packages\interpret\visual\interactive.py in show(explanation, key, **kwargs) 170 except...
Correct me if I'm wrong but the native early stopping mechanism within EBM will just take a random slice of the data. In the case of (i) grouped observations (panel...
Metadata
Owner
Metadata
Fit interpretable models. Explain blackbox machine learning.