AlexanderZender

I made a similar observation using the BlazorBoilerplate project. It is somehow related to Blazor running in WASM. When BlazorBoilerplate is executed in Server mode, MatSelectValue works fine:  If...

Thank you @pplonski, I was positively surprised by how quickly I received your reply! :) To answer your question: I'm interested to move it to its base library for the...

My current workaround, duplicating the single row and only use the probabilities from one: 

During the initial opening sequence of the dashboard, a prediction is made using all nan values:  This causes an exception in the console that the encoder of the model...

I added a 'NaN' category value to the categorical_dict if the categorical feature has NaN as values. Without this, the model encoder will break as always -999 is passed, instead...

The copy is technically not needed but it will avoid errors, for example if you pass a pipeline that manipulate the incoming dataframe within its process. These changes are indirectly...

@oegedijk I added the requested test, and removed copy from all predict function calls. I added a test to test categorical labels, this will fail as explainer dashboard does not...

> > I added the requested test, and removed copy from all predict function calls. > > I guess all these predict functions are only predicting a single row, so...

> > I added a test to test categorical labels, this will fail as explainer dashboard does not currently support these. > > I think it should be possible to...

I updated the test to use the available Titanic data. I perform the required manipulation in the test, e.g. adding NaN in Name or LabelEncode the label