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concepts [2012/06/12 08:28]
Oleksiy
concepts [2021/06/01 03:27] (current)
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-Every time the Start button is pressed, GMDH Shell saves all modified settings (several files) to the same folder where the dataset is located. At program start-up plug-ins try to read settings from this folder and if some of configuration files are not found they use default settings located in the program installation directory. +When you click at the Start button GMDH Shell saves all modified settings (several files) to folder where the dataset is located. At program start-up plug-ins try to read settings from this folder and if some of configuration files are not found they use default settings located in the program installation directory.
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 So, project folder is a folder that contains data sources and settings. All settings inside the project folder can be applied only to datasets stored in this folder. So, project folder is a folder that contains data sources and settings. All settings inside the project folder can be applied only to datasets stored in this folder.
  
- +Task specific project settings called Templates can be loaded using the Menu > File > Load template.
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-Preconfigured project settings called Templates can be loaded using the program menu File > Load template. +
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 ==== Dataset ==== ==== Dataset ====
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-Time series are time-ordered datasets (univariate or multivariate). The recent part of data in time series is usually more important for model training than other historical observations. GMDH Shell has a special Time series preprocessor for proper management of ordered observations. Time series preprocessor allows core algorithms to learn from a window of latest data. Other useful feature of Time series preprocessor is the ability to launch iterative step-back simulations for evaluation of method accuracy.+Time series are time-ordered datasets (univariate or multivariate). The recent part of data in time series is usually more important for model training than other historical observations. GMDH Shell has a special Time series preprocessor for proper management of ordered observations. Time series preprocessor allows core algorithms to learn from a window of latest data. Another useful feature of Time series preprocessor is the ability to launch iterative step-back simulations for evaluation of method accuracy.
  
  
concepts.1339489733.txt.gz · Last modified: 2021/06/01 03:27 (external edit)