learn_sphinx

learn_sphinx.hello(name)

asdasdas

ord	norm for matrices	norm for vectors
None (default)	Frobenius norm	2-norm (see below)
‘fro’	Frobenius norm	– not supported –
‘nuc’	nuclear norm	– not supported –
inf	max(sum(abs(x), dim=1))	max(abs(x))
-inf	min(sum(abs(x), dim=1))	min(abs(x))
0	– not supported –	sum(x != 0)
1	max(sum(abs(x), dim=0))	as below
-1	min(sum(abs(x), dim=0))	as below
2	largest singular value	as below
-2	smallest singular value	as below
other int or float	– not supported –	sum(abs(x)^{ord})^{(1 / ord)}

learn_sphinx.learn_math_render()

This is Normalize distribution \(\mathcal{N}(\text{mean}, \text{std}^2)\)

learn_sphinx.print_log(msg, logger=None, level=20)

Print a log message.

Examples

>>> print_log('hello')
hello
>>> get_logger('my_logger')
>>> # Print message via `my_logger`.
>>> print_log('hello', 'my_logger')
2022-04-13 01:30:43,858 - my_logger - INFO - hello
>>> print_log('hello', 'silent')
>>> # Print no message.

Note

If specified logger has not been created, print_log() will create a new logger without FileHandler.

Warning

FBI warning.

Parameters

• msg (str) – The message to be logged.

• logger (logging.Logger | str | None) –

  The logger to be used. Some special loggers are:

  logger	meaning
  ”silent”	no message will be printed.
  other str	the logger obtained with get_root_logger(logger).
  None	The print() method will be used to print log messages.

• level (int) – Logging level. Only available when logger is a Logger object or “root”.