Initializer module

nnodely.support.initializer.init_constant(indexes, params_size, dict_param={'value': 1})

Initializes parameters to a constant value.

Parameters:

dict_param (dict, optional) –

Dictionary containing the initialization parameters. Default is {‘value’: 1}.

valueint or float

The constant value to initialize the parameters with.

nnodely.support.initializer.init_negexp(indexes, params_size, dict_param={'first_value': 1, 'lambda': 3, 'size_index': 0})

Initializes parameters using a negative decay exponential function.

Parameters:

• indexes (list) – List of indexes for the parameters.

• params_size (list) – List of sizes for each dimension of the parameters.

• dict_param (dict, optional) –

  Dictionary containing the initialization parameters. Default is {‘size_index’: 0, ‘first_value’: 1, ‘lambda’: 3}.

  size_indexint

  The index of the dimension to apply the exponential function.

  first_valueint or float

  The value at the start of the range.

  lambdaint or float

  The decay rate parameter of the exponential function.

nnodely.support.initializer.init_exp(indexes, params_size, dict_param={'lambda': 3, 'max_value': 1, 'monotonicity': 'decreasing', 'size_index': 0})

Initializes parameters using an increasing or decreasing exponential function.

Parameters:

• indexes (list) – List of indexes for the parameters.

• params_size (list) – List of sizes for each dimension of the parameters.

• dict_param (dict, optional) –

  Dictionary containing the initialization parameters. Default is {‘size_index’: 0, ‘max_value’: 1, ‘lambda’: 3, ‘monotonicity’: ‘decreasing’}.

  size_indexint

  The index of the dimension to apply the exponential function.

  max_valueint or float

  The maximum value of the exponential function.

  lambdaint or float

  The rate parameter of the exponential function.

  monotonicitystr

  The monotonicity of the exponential function. Can be ‘increasing’ or ‘decreasing’.

Raises:

ValueError – If the monotonicity is not ‘increasing’ or ‘decreasing’.

nnodely.support.initializer.init_lin(indexes, params_size, dict_param={'first_value': 1, 'last_value': 0, 'size_index': 0})

Initializes parameters using a linear function.

Parameters:

• indexes (list) – List of indexes for the parameters.

• params_size (list) – List of sizes for each dimension of the parameters.

• dict_param (dict, optional) –

  Dictionary containing the initialization parameters. Default is {‘size_index’: 0, ‘first_value’: 1, ‘last_value’: 0}.

  size_indexint

  The index of the dimension to apply the linear function.

  first_valueint or float

  The value at the start of the range.

  last_valueint or float

  The value at the end of the range.