SIDISH.SIDISH.SIDISH.init_Phase1

SIDISH.init_Phase1(epochs, i_epochs, latent_size, layer_dims, batch_size, optimizer, lr, lr_3, dropout, type='Normal')

Initializes Phase 1: training a Variational Autoencoder (VAE) on single-cell RNA-seq data.

Parameters:

• epochs (int) – Number of epochs for initial VAE training.

• i_epochs (int) – Number of iterations for retraining VAE.

• latent_size (int) – Latent dimension size.

• layer_dims (list) – List of hidden layer dimensions.

• batch_size (int) – Batch size.

• optimizer (str) – Optimizer for VAE training.

• lr (float) – Learning rate.

• lr_3 (float) – Learning rate for later iterations.

• dropout (float) – Dropout rate.

• type (str, optional) – Specifies dense or normal representation (default=”Normal”).

Return type:

None

Returns:

None