timeseria.utils

Utility functions.

Functions

ensure_reproducibility()	Ensure reproducibility by fixing seeds to zero for Random, Numpy, and Tensorflow.
is_numerical(item)	Check if an item is numerical (float or int, including Pandas data types).
detect_encoding(file_name[, streaming])	Detect the encoding of a file.
detect_sampling_interval(timeseries[, ...])	Detect the sampling interval of a time series.
detect_periodicity(timeseries)	Detect the periodicity of a time series.
mean_absolute_percentage_error(list1, list2)	Compute the MAPE.
max_absolute_percentage_error(list1, list2)	Compute the MaxAPE.
mean_absolute_error(list1, list2)	Compute the MAE.
max_absolute_error(list1, list2)	Compute the MaxAE.
mean_squared_error(list1, list2)	Compute the MSE.
rescale(value, source_from, source_to[, ...])	Rescale a value from one range to another.
os_shell(command[, capture, verbose, ...])	Execute a command in the OS shell and print its output.

Classes

DistributionFunction(dist, params)

A class representing a statistical distribution.