tsfresh
tsfresh copied to clipboard
Automatic extraction of relevant features from time series:
Thank you for this package! Somewhat related to #356 , as far as I understand currently the input format is a pandas.DataFrame, then data is aggregated by the `date` and...
we could use use that warning in the extract_features method to issue a warning there as well as some features assume uniformly sampled time series as well. If we do...
Hey, have you ever considered adding signature transformations?
There was an interesting paper last year which compared a bunch of newly published time series classifiers. http://www-bcf.usc.edu/~liu32/milets16/paper/MiLeTS_2016_paper_5.pdf In a wild oversimplification, several of the classifiers simply transform the data...
I want to extract features from a rolling window of a table with columns of several timeserieses and do some prediction based on the timeseries in that window. Currently, as...
More of a suggestion/question rather than bug reporting :) I was wondering if you would be interested at adding preprocessing steps such as Time Series validation with [Nelson rules](https://en.wikipedia.org/wiki/Nelson_rules). If...
Hi, first I think this is an awesome project! However, I would like to see a notice on the Google Stock notebook that this is just a technical example but...
We already include type annotations for most functions in their docstrings. [mypy](http://mypy-lang.org/) offers a comment syntax for annotating types in Python 2. This would help us ensure that these annotations...
**The problem**: The function `feature_selection.relevance.calculate_relevance_table()` is supposed to support numpy.ndarray as y argument. This causes an attribute error though because numpy.ndarray does not have the `sort_index` function that is called...
Hi, firstly, apologize in advance for using bug report instead of Discussion and feature requests. I posted a request there a while back with no activity. Please add support for...