Maria Monzon

How is the status of the BEP? I would be very interested to know if the body part could be somehow extracted to further select data. I think having the...

How is the status of this issue? I am getting the same error... raceback (most recent call last): File "/data/xnat-phrt/venv-xnat/lib64/python3.9/site-packages/requests/models.py", line 974, in json return complexjson.loads(self.text, **kwargs) File "/usr/lib64/python3.9/json/__init__.py", line...

I tried the code in the API playground and does not work. I also tried to reach the API via curl to aassure the endpoint is correct and that seems...

The administrators agreed to upgrade to the last version of REDCap to v14.3.14 so I will test soon against and update status

I would like to contribute on this specific topic, but I am unexperience contributing to monay, so It will take some time

I am also have the same problem: File ~/Projects/piord-data-analysis/venv-eda/lib/python3.10/site-packages/pycaret/classification/oop.py:854, in ClassificationExperiment.setup(self, data, data_func, target, index, train_size, test_data, ordinal_features, numeric_features, categorical_features, date_features, text_features, ignore_features, keep_features, preprocess, create_date_columns, imputation_type, numeric_imputation, categorical_imputation, iterative_imputation_iters,...

Following, I would also be grateful to have Medsegdiff multi-class segmentation and clarify if the code is MEdSegDiff v1 or v2

I am also encountering this error on python 3.10.12 ``` Traceback (most recent call last): File "./venv-eda/lib/python3.10/site-packages/pycaret/internal/preprocess/transformers.py", line 135, in _reorder_cols original_df.index = df.index File "./venv-eda/lib/python3.10/site-packages/pandas/core/generic.py", line 6313, in __setattr__...

Thanks a lot for your help and support. And I appologyze for not been clear.... In my specific example I do have a very reduced dataset, therefore I would llove...

I did investigate a bit more on the issue. `clf_exp.setup(data=data_df.iloc[idx_train], target=label_name, test_data=data_df.iloc[idx_test]) ` @celestinoxp It does not work only if I do have **features encoded as ordinal_features**