LostTech.TensorFlow : API Documentation

Type MeanTensor

Namespace tensorflow.keras.metrics

Parent Metric

Interfaces IMeanTensor

Computes the element-wise (weighted) mean of the given tensors.

`MeanTensor` returns a tensor with the same shape of the input tensors. The mean value is updated by keeping local variables `total` and `count`. The `total` tracks the sum of the weighted values, and `count` stores the sum of the weighted counts.

Show Example
m = tf.keras.metrics.MeanTensor()
            m.update_state([0, 1, 2, 3])
            m.update_state([4, 5, 6, 7])
            print('Result: ', m.result().numpy())  # Result: [2, 3, 4, 5]
            m.update_state([12, 10, 8, 6], sample_weights= [0, 0.2, 0.5, 1])
            print('Result: ', m.result().numpy())  # Result: [2, 3.636, 4.8, 5.333] 


Public properties

PythonFunctionContainer activity_regularizer get; set;

object activity_regularizer_dyn get; set;

bool built get; set;

object count get;

object count_dyn get;

object dtype get;

object dtype_dyn get;

bool dynamic get;

object dynamic_dyn get;

IList<Node> inbound_nodes get;

object inbound_nodes_dyn get;

IList<object> input get;

object input_dyn get;

object input_mask get;

object input_mask_dyn get;

IList<object> input_shape get;

object input_shape_dyn get;

object input_spec get; set;

object input_spec_dyn get; set;

IList<object> losses get;

object losses_dyn get;

IList<object> metrics get;

object metrics_dyn get;

object name get;

object name_dyn get;

object name_scope get;

object name_scope_dyn get;

IList<object> non_trainable_variables get;

object non_trainable_variables_dyn get;

IList<object> non_trainable_weights get;

object non_trainable_weights_dyn get;

IList<object> outbound_nodes get;

object outbound_nodes_dyn get;

IList<object> output get;

object output_dyn get;

object output_mask get;

object output_mask_dyn get;

object output_shape get;

object output_shape_dyn get;

object PythonObject get;

bool stateful get; set;

ValueTuple<object> submodules get;

object submodules_dyn get;

bool supports_masking get; set;

object total get;

object total_dyn get;

bool trainable get; set;

object trainable_dyn get; set;

object trainable_variables get;

object trainable_variables_dyn get;

IList<object> trainable_weights get;

object trainable_weights_dyn get;

IList<object> updates get;

object updates_dyn get;

object variables get;

object variables_dyn get;

IList<object> weights get;

object weights_dyn get;