I am trying to run the DSM on Support Dataset notebook, but I get the following error message when I attempt to run the code snippet below the Model Training and Selection heading.
model.fit(x_train, t_train, e_train, iters = 100, learning_rate = param['learning_rate'])
File ~\auton-survival\auton_survival\models\dsm\__init__.py:246 in fit
processed_data = self._preprocess_training_data(x, t, e,
File ~\auton-survival\auton_survival\models\dsm\__init__.py:324 in _preprocess_training_data
x_train = torch.from_numpy(x_train).double()
TypeError: can't convert np.ndarray of type numpy.object_. The only supported types are: float64, float32, float16, complex64, complex128, int64, int32, int16, int8, uint8, and bool.
However, I am confused because I can successfully run the RDSM example notebook with the PBC dataset, and in that case, the model.fit() function works even when the arguments x_train, t_train, and e_train are arrays of type numpy.object.
MaKa19999
commented
7 months ago
Hi, thank you for making this great package!
I am trying to run the DSM on Support Dataset notebook, but I get the following error message when I attempt to run the code snippet below the Model Training and Selection heading.
However, I am confused because I can successfully run the RDSM example notebook with the PBC dataset, and in that case, the model.fit() function works even when the arguments x_train, t_train, and e_train are arrays of type numpy.object.
Thanks for your help!