A mixture (same-family) Keras layer.
A mixture (same-family) Keras layer.
layer_mixture_same_family( object, num_components, component_layer, convert_to_tensor_fn = tfp$distributions$Distribution$sample, validate_args = FALSE, ... )
object |
Model or layer object |
num_components |
Number of component distributions in the mixture distribution. |
component_layer |
Function that, given a tensor of shape
|
convert_to_tensor_fn |
A callable that takes a tfd$Distribution instance and returns a
tf$Tensor-like object. Default value: |
validate_args |
Logical, default FALSE. When TRUE distribution parameters are checked
for validity despite possibly degrading runtime performance. When FALSE invalid inputs may
silently render incorrect outputs. Default value: FALSE.
@param ... Additional arguments passed to |
... |
Additional arguments passed to |
a Keras layer
For an example how to use in a Keras model, see layer_independent_normal().
Other distribution_layers:
layer_categorical_mixture_of_one_hot_categorical(),
layer_distribution_lambda(),
layer_independent_bernoulli(),
layer_independent_logistic(),
layer_independent_normal(),
layer_independent_poisson(),
layer_kl_divergence_add_loss(),
layer_kl_divergence_regularizer(),
layer_mixture_logistic(),
layer_mixture_normal(),
layer_multivariate_normal_tri_l(),
layer_one_hot_categorical()
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