Benchmark multi-model/multi-view models.
Note
This page is a reference documentation. It only explains the function signature, and not how to use it. Please refer to the gallery for the big picture.
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mmbench.model.eval_smcvae(model, data, modalities, n_samples=10, threshold=0.2, ndim=None, verbose=1)[source]ΒΆ Evaluate the sMCVAE model.
- Parameters
model : Module or list of Module
input model.
data : dict
the input data organized by views.
modalities : list of str
names of the model input views.
n_samples : int, default 10
the number of time to sample the posterior.
threshold : float, default 0.2
value for thresholding. If None, no thresholding is applied.
ndim : int, default None
number of dimensions to keep.
verbose : int, default 1
control the verbosity level.
- Returns
embeddings : dict
the generated latent representations.
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