TessemNN

class pyarts3.arts.TessemNN(*args, **kwargs)

A TESSEM2 neural-network model.

The horizontal- and vertical-polarization networks are stored separately. Use tessem_nnReadAscii() to read the original TESSEM ASCII parameter files.

Workspace methods that can generate TessemNN

tessem_nnReadAscii()

Workspace variables of type TessemNN

tessem_neth tessem_netv

Overview

Method	readxml()	Read variable from file.
Method	savexml()	Saves variable to file.
Static Method	from_ascii()	Read an original TESSEM2 neural-network parameter file
Static Method	fromxml()	Create variable from file.
Vector	b1	Hidden-layer biases
Vector	b2	Output-layer biases
Index	nb_cache	Number of hidden neural-network nodes
Index	nb_inputs	Number of neural-network inputs
Index	nb_outputs	Number of neural-network outputs
Matrix	w1	Hidden-layer weights
Matrix	w2	Output-layer weights
Vector	x_max	Maximum values used to scale the inputs
Vector	x_min	Minimum values used to scale the inputs
Vector	y_max	Maximum values used to scale the outputs
Vector	y_min	Minimum values used to scale the outputs
Operator	__call__()	Evaluate the neural network
Operator	__eq__()	Return self==value.
Operator	__format__()	__format__(self, arg: str, /) -> str
Operator	__ge__()	Return self>=value.
Operator	__gt__()	Return self>value.
Operator	__hash__()	Return hash(self).
Operator	__init__()	__init__(self, arg: pyarts3.arts.TessemNN) -> None
Operator	__le__()	Return self<=value.
Operator	__lt__()	Return self<value.
Operator	__ne__()	Return self!=value.
Operator	__repr__()	__repr__(self) -> str
Operator	__str__()	__str__(self) -> str

Constructors

__init__(self) → None

__init__(self) → None

__init__(self, arg: pyarts3.arts.TessemNN) → None

Methods

readxml(self, file: str) → str

Read variable from file.

Parameters:

file (str) – A file that can be read.

Raises:

RuntimeError – For any failure to read.

Returns:

file – The file path found (may differ from input due to environment variables).

Return type:

str

savexml(self, file: str, type: str = 'ascii', clobber: bool = True) → str

Saves variable to file.

Parameters:

• file (str) – The path to which the file is written. Note that several of the options might modify the name or write more files.

• type (str, optional) – Type of file to save. See FileType for options. Defaults is “ascii”.

• clobber (bool, optional) – Overwrite existing files or add new file with modified name? Defaults is True.

Raises:

RuntimeError – For any failure to write.

Returns:

file – The file saved. May differ from input.

Return type:

str

Static Methods

from_ascii(filename: str) → pyarts3.arts.TessemNN

Read an original TESSEM2 neural-network parameter file

fromxml(file: str) → pyarts3.arts.TessemNN

Create variable from file.

Parameters:

file (str) – A file that can be read

Raises:

RuntimeError – For any failure to read.

Returns:

artstype – The variable created from the file.

Return type:

T

Attributes

b1: Vector

Hidden-layer biases

b2: Vector

Output-layer biases

nb_cache: Index

Number of hidden neural-network nodes

nb_inputs: Index

Number of neural-network inputs

nb_outputs: Index

Number of neural-network outputs

w1: Matrix

Hidden-layer weights

w2: Matrix

Output-layer weights

x_max: Vector

Maximum values used to scale the inputs

x_min: Vector

Minimum values used to scale the inputs

y_max: Vector

Maximum values used to scale the outputs

y_min: Vector

Minimum values used to scale the outputs

Operators

__call__(self, input: pyarts3.arts.Vector) → pyarts3.arts.Vector

Evaluate the neural network

__eq__(value, /)

Return self==value.

__format__(self, arg: str, /) → str

__ge__(value, /)

Return self>=value.

__gt__(value, /)

Return self>value.

__hash__()

Return hash(self).

__init__(self) → None

__init__(self) → None

__init__(self, arg: pyarts3.arts.TessemNN) → None

__le__(value, /)

Return self<=value.

__lt__(value, /)

Return self<value.

__ne__(value, /)

Return self!=value.

__repr__(self) → str

__str__(self) → str