Man pages for theft
Tools for Handling Extraction of Features from Time Series
| calculate_features | Compute features on an input time series dataset |
| check_vector_quality | Check for presence of NAs and non-numerics in a vector |
| feature_list | All features available in theft in tidy format |
| init_theft | Communicate to R the Python virtual environment containing... |
| install_kats | Download and install Kats from Python into a new virtual... |
| install_python_pkgs | Download and install tsfresh, TSFEL, and Kats from Python... |
| install_tsfel | Download and install TSFEL from Python into a new virtual... |
| install_tsfresh | Download and install tsfresh from Python into a new virtual... |
| kurtosis | Calculate a kurtosis of a vector |
| moments | Calculate a basic set of the four moments of the distribution |
| process_hctsa_file | Load in hctsa formatted MATLAB files of time series data into... |
| quantiles | Calculate a basic set of quantiles for an input time-series... |
| simData | Sample of randomly-generated time series to produce function... |
| skewness | Calculate a skewness of a vector |
| theft | Tools for Handling Extraction of Features from Time-series |
