predict_proba() argument after ** must be a mapping, not NoneType

[flycloudking]

Hi,

I just installed the latest version. I am running your tutorial script "pdpbox_binary_classification.ipynb".

When running step 1.2

fig, axes, summary_df = info_plots.actual_plot( model=titanic_model, X=titanic_data[titanic_features], feature='Sex', feature_name='gender' )

I got an error as below:

TypeError Traceback (most recent call last)

in () 1 fig, axes, summary_df = info_plots.actual_plot( ----> 2 model=titanic_model, X=titanic_data[titanic_features], feature='Sex', feature_name='gender' 3 ) ~/.local/lib/python3.6/site-packages/pdpbox/info_plots.py in actual_plot(model, X, feature, feature_name, num_grid_points, grid_type, percentile_range, grid_range, cust_grid_points, show_percentile, show_outliers, endpoint, which_classes, predict_kwds, ncols, figsize, plot_params) 289 # make predictions 290 # info_df only contains feature value and actual predictions --> 291 prediction = predict(X, **predict_kwds) 292 info_df = X[_make_list(feature)] 293 actual_prediction_columns = ['actual_prediction'] TypeError: predict_proba() argument after ** must be a mapping, not NoneType I tried a different model and got the same error here.

[SauceCat]

https://github.com/SauceCat/PDPbox/issues/22

[flycloudking]

Never mind, just adding 'predict_kwds={}' solved the problem

[leodongdong]

Sorry, I want to know add 'predict_kwds={}' to where? thank you

[SauceCat]

only three functions require this param: actual_plot, pdp_isolate, pdp_interact

leodongdong @.***> 于2023年3月16日周四 11:25写道：

Sorry, I want to know add 'predict_kwds={}' to where? thank you

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