time-series-machine-learning / tsml-py Goto Github PK

Describe the issue linked to the documentation

Should include a basic autogenerated API.

Suggest a potential alternative/fix

No response

it is written on

https://github.com/time-series-machine-learning/tsml-java
UEA Time Series Classification
https://travis-ci.com/uea-machine-learning/tsml.svg?branch=master
A Weka-compatible Java toolbox for time series classification, clustering and transformation. For the python sklearn-compatible version, see sktime

but there is python repo
https://github.com/time-series-machine-learning/tsml-py

then what is difference between tsml-py and sktime

These are valid, so should be accepted.

Describe the feature or idea you want to propose

There are currently commented out in their respective files. Part of the Quant implementation.

Describe your proposed solution

Finish implementing the algorithms.

Other comments and alternatives considered

No response

Describe the issue

This is a good addition, but needs a little bit a work before it can be enabled.

Suggest a potential alternative/fix.

No response

Additional context or comments

No response

Describe the feature or idea you want to propose

There is currently some skeleton test functions for these, but they need to be filled in to make sure these cases are tested properly.

Describe your proposed solution

Implement tests for different types of time series data.

Other comments and alternatives considered

No response

may you share
what are valid parameters for file names in load_regression
def load_regression(name, split=None, extract_path=None, return_metadata=True)

to use for
from aeon.datasets import load_regression