oist
PCA issue
Issue running PCA on example data
File "...optinist/core/nwb/nwb_creater.py", line 375, in set_nwbconfig nwbfile = NWBCreater.column( TypeError: column() got an unexpected keyword argument 'discription'
Same issue with TSNE
rerunning I now get this issue
line 146, in _assert_all_finite raise ValueError(msg_err) ValueError: Input X contains NaN. PCA does not accept missing values encoded as NaN natively. For supervised learning, you might want to consider sklearn.ensemble.HistGradientBoostingClassifier and Regressor which accept missing values encoded as NaNs natively. Alternatively, it is possible to preprocess the data, for instance by using an imputer transformer in a pipeline or drop samples with missing values. See https://scikit-learn.org/stable/modules/impute.html You can find a list of all estimators that handle NaN values at the following page: https://scikit-learn.org/stable/modules/impute.html#estimators-that-handle-nan-values
