parsnip.ParsnipModel.encode

ParsnipModel.encode(input_data)

Predict the latent variables for a set of light curves

We use variational inference, and predict the parameters of a posterior distribution over the latent space.

Parameters:

input_data (FloatTensor) – Input data representing a set of gridded light curves

Returns:

• FloatTensor – Mean predictions for each latent variable

• FloatTensor – Log-variance predictions for each latent variable