kerasadf.layers.pooling.AveragePooling1D¶

class kerasadf.layers.pooling.AveragePooling1D(pool_size=2, strides=None, padding='valid', data_format=None, **kwargs)¶

Average pooling layer for 1D inputs.

Assumed Density Filtering (ADF) version of keras.layers.AveragePooling1D.

Parameters:

pool_sizeint or tuple of int: An integer or tuple/list of a single integer, representing the size of the pooling window. Default is 2.
stridesint or tuple of int or None, optional: An integer or tuple/list of a single integer, specifying the strides of the pooling operation. If None, the pool_size will be used. Default is None.
padding{“valid”, “same”}, optional: The padding method. Case-insensitive. Default is “valid”.
data_format{“channels_last”, “channels_first”}, optional: The ordering of the dimensions in the inputs. “channels_last” corresponds to inputs with shape (batch, steps, features) while “channels_first” corresponds to inputs with shape (batch, features, steps). It defaults to the image_data_format value found in your Keras config file at ~/.keras/keras.json. If you never set it, then it will be “channels_last”.

Notes

Input shape: 3D tensor with shape (batch_size, steps, features) if data_format is “channels_last” or shape (batch_size, features, steps) if data_format is “channels_first”.
Output shape: 3D tensor with shape (batch_size, pooled_steps, features) if data_format is “channels_last” or shape (batch_size, features, pooled_steps) if data_format is “channels_first”.