Type Poisson
Namespace tensorflow.keras.metrics
Parent MeanMetricWrapper
Interfaces IPoisson
Computes the Poisson metric between `y_true` and `y_pred`. `metric = y_pred - y_true * log(y_pred)` Usage:
Usage with tf.keras API:
Show Example
m = tf.keras.metrics.Poisson() m.update_state([1, 9, 2], [4, 8, 12]) print('Final result: ', m.result().numpy()) # Final result: -4.63
Properties
- activity_regularizer
- activity_regularizer_dyn
- built
- count
- dtype
- dtype_dyn
- dynamic
- dynamic_dyn
- inbound_nodes
- inbound_nodes_dyn
- input
- input_dyn
- input_mask
- input_mask_dyn
- input_shape
- input_shape_dyn
- input_spec
- input_spec_dyn
- losses
- losses_dyn
- metrics
- metrics_dyn
- name
- name_dyn
- name_scope
- name_scope_dyn
- non_trainable_variables
- non_trainable_variables_dyn
- non_trainable_weights
- non_trainable_weights_dyn
- outbound_nodes
- outbound_nodes_dyn
- output
- output_dyn
- output_mask
- output_mask_dyn
- output_shape
- output_shape_dyn
- PythonObject
- reduction
- stateful
- submodules
- submodules_dyn
- supports_masking
- total
- trainable
- trainable_dyn
- trainable_variables
- trainable_variables_dyn
- trainable_weights
- trainable_weights_dyn
- updates
- updates_dyn
- variables
- variables_dyn
- weights
- weights_dyn