Johann Faouzi

Hi, Sorry for the delayed response. The inverse transformations are not currently implemented. Here are the specific details for each imaging transformation: * **Recurrence plot**: To transform the image into...

There's no specific tool in this package, but there are in other popular packages: * [numpy.loadtxt](https://numpy.org/doc/stable/reference/generated/numpy.loadtxt.html): Load data from a text file. * [pandas.read_csv](https://pandas.pydata.org/docs/reference/api/pandas.read_csv.html): Read a comma-separated values file (you...

Hi, Thanks for your kind words. Regarding your first question, the limit on the word size is indeed arbitrary. However, this limit is already much higher of what is used...

Hi, > As far as I understand, in principle, n_bins (the alphabet size) can be set for each sliding window independently. And it looks like the implementation of the list-like...

Hi, Indeed, the parameter `strategy='normal'` uses the same strategy as the article (quantiles from the standard normal distribution). The justification of using quantiles from the standard normal distribution is given...

Hi, I'm very sorry for the delayed response, I totally missed the notification of your issue. Lucas gave you a complete working example that should help you get started. On...

If there would be a single Markov transition matrix for the whole training set of time series, then it would be computed in the `fit` method and would be exposed...

The `fit` method is actually needless when you are just using a single estimator, but it's actually needed if you want to use tools from scikit-learn for cross-validation (e.g., [sklearn.model_selection.GridSearchCV](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html#sklearn.model_selection.GridSearchCV))...

I have not seen it used in the literature but it could definitely be added.

Your intuition is somewhat right. The SAX-VSM algorithm works like this: 1. A sliding window is used to extract overlapping subsequences of a time series. 2. Each subsequence is standardized,...