scvi.module.Classifier

class scvi.module.Classifier(n_input, n_hidden=128, n_labels=5, n_layers=1, dropout_rate=0.1, logits=False, use_batch_norm=True, use_layer_norm=False, activation_fn=<class 'torch.nn.modules.activation.ReLU'>)

Bases: Module

Basic fully-connected NN classifier.

Parameters:

• n_input (int) – Number of input dimensions

• n_hidden (int) – Number of hidden nodes in hidden layer

• n_labels (int) – Numput of outputs dimensions

• n_layers (int) – Number of hidden layers

• dropout_rate (float) – dropout_rate for nodes

• logits (bool) – Return logits or not

• use_batch_norm (bool) – Whether to use batch norm in layers

• use_layer_norm (bool) – Whether to use layer norm in layers

• activation_fn (Module) – Valid activation function from torch.nn

Attributes table

Methods table

forward(x)

Forward computation.

Attributes

training

Classifier.training: bool

Methods

forward

Classifier.forward(x)

Forward computation.