skself#

Submodules#

skself.data
skself.embedding_training
skself.gptano
skself.partial_annotations
skself.test
skself.utils

Attributes#

__version__

Functions#

enable_hyper_search_progress_bar()

Progress bar for sklearn parallel searches in jupyter notebooks.

Package Contents#

skself.enable_hyper_search_progress_bar()[source]#

Progress bar for sklearn parallel searches in jupyter notebooks.

This fixes two issues:

Notebooks unrealiably displas output from subprocesses
Parallel Processing does not have a process bar in sklearn

WARNING. This sets the default parallelization in sklearn to threading. That’s okay unless you want to utilize the processing power of multiple machines.

skself.__version__ = '0.1.0'[source]#