cascade.utils

Miscellaneous utilities

Functions

`autodevice`	Get torch computation device automatically based on GPU availability and memory usage
`check_affinity_inheritance`	Check whether affinity inheritance is broken
`count_occurrence`	Count occurrence number of list elements
`covariance`	Compute covariance matrix where each column of the input matrix is treated as a variable
`densify`	Convert a matrix to dense format
`get_random_state`	Get a random state object
`gp_regression_with_ci`	Gaussian process regression with confidence interval
`hclust`	Hierarchical clustering followed by optional tree cutting
`internal`	Decorator to mark a function or class as internal and exclude it from autosummary.
`is_notebook`	Check if the code is running in a Jupyter notebook
`partial_correlation`	Compute partial correlation matrix
`pearson_correlation`	Compute Pearson correlation matrix
`spearman_correlation`	Compute Spearman correlation matrix
`str_to_bool`	Interpret string as bool
`variance`	Compute variance vector where each column of the input matrix is treated as a variable

Classes

Global configurations

Exceptions