[ENH] time series classification: shorthands for common sktime pipelines including TsfreshClassifier

One of our most requested/used time series classifiers is the pipeline of tsfresh feature extraction and then an sklearn classifier.

• There should be a shorthand TsfreshClassifier for that.

We should create a module with simple “feature extraction based” TSC strategies like this, e.g., feature_extr_based.

Other shorthands that would be great to have:

• TabularizerClassifier, using the tabluarizer; a bonus feature would be using its potential “good first issue” extension to be created, the binner #242
• MatrixProfileClassifier using the matrix profile
• SignatureClassifier - using signature - this already exists in @jambo6’s work, so just needs to be moved into the same “TSC type” sub-folder
• SevenNumberClassifier - using the seven-number-summary of the series (quartiles, mean, variance). A nice feature would be the ability to specify which of these to use, or more “sample summaries” like kurtosis or other percentiles; this should not use any sequential features, only features where the order does not matter.

All of these will have parameters: estimator - a sklearn classifier; and any parameters that come from the feature extractor, without additional nesting level (that you would get from Pipeline).

[MatthewMiddlehurst]

@TonyBagnall Waiting on #1329 really. After the summary classifier is done and the package is refactored we can close this i think.

[MatthewMiddlehurst]

Going to assign myself to this if no one else wants to take it, seems like a good series of small tasks. Can put the Catch22Classifier with them.