Rachit Kumar

This doesn't seem to happen to me when installing TPOT into a new environment - can you replicate the issue if you install TPOT into a clean environment? It seems...

Hi @wayneking517. No worries - your question is absolutely alright to ask. In the future, when copying Python code, please use Github's code block by using three backticks to wrap...

Sorry for the delay in responding. You are likely getting these errors because you have not imported the required functions to call RBF, DotProduct, etc. You need to import these...

@wayneking517 I see the issue - I had assumed RBF and the other kernel functions returned simple arrays/lists, which TPOT can properly handle when evaluating pipelines. However, they return kernel...

Apologies - I misspelled the first instance of "gaussian_config" as "guassian_config" in the demo above. I've corrected the misspelling above, but this should fix the issue with needing to replace...

Hi @wayneking517, thanks for your issue report. Currently, from what I can see, you have implemented the preprocessor into the configuration dictionary correctly. However, when instantiating the TPOT object, you...

This may be because scikit-learn 0.24 is installed, and the most recent update made some breaking changes to the API that your current install of dask-ml will need to address...

@breaker505 In the future, please follow the template provided - it makes it easier to debug and read your issue. The problem described in the title of your issue is...

@CBrauer TPOT should naturally support most of sklearn's built-in transformers. You can include such transformers as operators in your own custom configuration dictionary to pass into TPOT: https://epistasislab.github.io/tpot/using/#customizing-tpots-operators-and-parameters If you...

Hi @Ak784, the reason that TPOT does not consider these parameters is because they are not included as parameters for TPOT to optimize or pass in the TPOT configuration file...