RandomUniform¶
-
class
ampligraph.latent_features.
RandomUniform
(initializer_params={}, verbose=True, seed=0)¶ Initializes from a uniform distribution with specified
low
andhigh
\[\mathcal{U} (low, high)\]Methods
__init__
([initializer_params, verbose, seed])Initialize the Uniform initialization strategy
-
__init__
(initializer_params={}, verbose=True, seed=0)¶ Initialize the Uniform initialization strategy
- Parameters
initializer_params (dict) –
Consists of key-value pairs. The initializer will check the keys to get the corresponding params:
low: (float). lower bound for uniform number (default: -0.05)
high: (float): upper bound for uniform number (default: 0.05)
Example:
initializer_params={'low': 0, 'high': 0.01}
verbose (bool) – Enable/disable verbose mode
seed (int/np.random.RandomState) – random state for random number generator
-