Jafar Isbarov
Jafar Isbarov
I generalized assert_continuous to work in the presence of missing values, but this results in errors during the transformation process. For example: ``` MethodError: Cannot `convert` an object of type...
@juliohm Great, I am working on it. The problem is that `AbstractVector{Continuous}
@juliohm The original request was to skip missing values. This can be done at least for Center transform. I believe we can create `assert_continuous_or_missing` as you said, and use it...
An example: ``` x1 = [1.0, 2.0, 3.0, 4.0, 5.0] x2 = [missing, 2.0, 3.0, 4.0, 5.0] x3 = [5.0, 5.0, 5.0, 5.0, 5.0] t = TypedTables.Table(;x1, x2, x3) t...
@ablaom This works, thanks! Do you mind looking look at the [PR?](https://github.com/JuliaML/TableTransforms.jl/pull/34)
@rshiva this still results in the same error
@pat-alt Hi! I would love to. Let me review the paper and the original code and I will ping you guys.
Which paper should we refer to?
I hope you are doing better now! Here is an example: ```jl using Transformers using Transformers.TextEncoders using Transformers.HuggingFace using ExplainableAI classifier = hgf"gtfintechlab/FOMC-RoBERTa:ForSequenceClassification" encoder = hgf"gtfintechlab/FOMC-RoBERTa"[1] analyzer = IntegratedGradients(classifier) input...
That was quick, thanks! I don't have anything else to add. I can use the new version and give feedback if I face any issues. Please, let me know if...