Hi, sorry for the late answer 
Iāve personally never experienced such an error before, so I donāt really know what the ācolumnCount and inputWidth above zeroā thing is about. However, I know that the ā_classifierInputā is different from the normal non-classifierInput encoder (ie when name is _classifierInput and classifierOnly is true). Iāve noticed that the generated encoder parameters for the classifierInput are always bigger than for normal encoders and seems to affect the results of the CLA quite profoundly (in a negative outcome for me at least). I couldnāt find very much information about it so I decided to ask about it and other things in my post here, although none have dared to answer so far 
If I remember correctly, one_gym simply runs a swarm, and uses the values from the model_params file to run the CLA on, which is exactly what my template code does, unless there is a difference in the input parameters that are sent to the swarm between my template and one_gym. No, I donāt have a github of my code, because my code is nothing more than the template really with ever so small variations here and there when Iām experimenting with different data sets. The NuPIC codebase is quite a behemoth so I havenāt dared altering any code really. All Iāve done is tried my best to understand HTM and NuPIC it, run it, understand why I get the results that I get, and use all that understanding to get the best possible results.