Tsfresh

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- progress bar for feature selection
- new feature: estimation of largest fixed point of deterministic dynamics
- new notebook: demonstration how to use tsfresh in a pipeline with train and test datasets
- remove no logging handler warning
- fixed bug in the RelevantFeatureAugmenter regarding the evaluate_only_added_features parameters

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- new example: driftbif simulation
- further improvements of the parallelization
- language improvements in the documentation
- performance improvements for some features
- performance improvements for the impute function
- new feature and feature renaming: sum_of_recurring_values, sum_of_recurring_data_points

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- fixed several bugs: checking of UCI dataset, out of index error for mean_abs_change_quantiles
- added a progress bar denoting the progress of the extraction process
- added parallelization per sample
- added unit tests for comparing results of feature extraction to older snapshots
- added "high_comp_cost" attribute
- added ReasonableFeatureExtraction settings only calculating features without "high_comp_cost" attribute

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- fixed several bugs: closing multiprocessing pools / index out of range cwt calculator / division by 0 in index_mass_quantile
- now all warnings are disabled by default
- for a singular type time series data, the name of value column is used as feature prefix

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- fixed bug with parsing of "NUMBER_OF_CPUS" environment variable
- now features are calculated in parallel for each type

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- now p-values are calculated in parallel
- fixed bugs for constant features
- allow time series columns to be named 0
- moved uci repository datasets to github mirror
- added feature calculator sample_entropy
- added MinimalFeatureExtraction settings
- fixed bug in calculation of fourier coefficients