Clsti model builder: Difference between revisions
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*The pure component name should be in the fist element (row 1, column 1) of the definition file | *The pure component name should be in the fist element (row 1, column 1) of the definition file | ||
*It is recommended that the data files (Acetone_25C.spc, etc.) be in the same folder as the definition file | *It is recommended that the data files (Acetone_25C.spc, etc.) be in the same folder as the definition file | ||
**If not in the same folder then the file names should include the full path to the data file (example: myFolder1/myFolder2/Acetone_25C.spc) | **If the spectral data files are not in the same folder as the definition file, then the file names should include the full path to the data file (example: myFolder1/myFolder2/Acetone_25C.spc) | ||
===DataSet Object=== | ===DataSet Object=== |
Revision as of 12:48, 7 December 2023
CLSTI Model Builder How To
This page describes how to use the CLSTI Model Builder interface.
This interface can be accessed by:
- From the MATLAB command line, use the commands:
clsti('builder')
, orclsti_gui
- From the CLSTI Analysis interface:
- Click on the Open CLSTI Model Builder button
Load Data
Follow these steps to load pure component data to use to build a CLSTI model:
- Use the button to add an empty Component tab.
- Right click on the new tab and choose the appropriate format to load your data. Choose from:
- Definition file, or
- DataSet Object
Definition File
Definition files must be formatted in a specific way for the import to work correctly. They must be in .csv, .txt, or .xlsx format and consist of two columns, where the first column contains in the file names corresponding the data files and the second column contains the temperatures at which that pure component spectrum was collected. Here is an example definition file for Acetone in .csv format:
Acetone, Acetone_25C.spc,25 Acetone_40C.spc,40 Acetone_55C.spc,55 Acetone_70C.spc,70
Important things to note:
- The pure component name should be in the fist element (row 1, column 1) of the definition file
- It is recommended that the data files (Acetone_25C.spc, etc.) be in the same folder as the definition file
- If the spectral data files are not in the same folder as the definition file, then the file names should include the full path to the data file (example: myFolder1/myFolder2/Acetone_25C.spc)
DataSet Object
DataSet Objects must also be configured in a specific way for importing to work correctly. It is expected that the pure component temperatures are in the first axis scale set of the rows (mode 1). Example:
Important note: If variable selection is not performed using the Variable Selection button, then the variables used in the model will correspond to the included variables in the first DSO that is loaded.
Successfully Loaded Pure Component Tab
When pure component data has been successfully loaded, the interface will look like this:
where the Build Model, Variable Selection, and buttons are enabled. Use the button to remove the currently selected tab. The Overview tab cannot be removed.
The Open button can be used to open the pure component data in a DataSet Editor which can be useful for plotting.
Overview Tab
The Overview tab shows all loaded pure components and included temperatures. Here is an example of the Overview tab after loading a second component, Ethanol:
Removing a pure component tab will remove the component from the Overview tab.
The Open button will open a DataSet Editor containing all pure component data.
Include/Exclude Pure Component Samples
On each pure component tab there is a column for setting what samples (pure component at certain temperatures) to include in the model building process. Unchecking a sample will exclude it from the model. Here is an example of excluding the pure component spectrum for Acetone at 40C and the corresponding Overview tab with that temperature removed:
If loading a DataSet Object that has samples excluded, the pure component tab will preserve that exclusion.
Variable Selection
Use the Variable Selection button to the select the variables to include in the model building process.
Use the selection tools in the toolbar to perform the variable selection:
- The left most button will include only the variables that are selected
- The next button (with the plus sign) will add selected variables to the currently included variables
- The next button (with the minus sign) will remove the selected variables from the included variables
- The green check mark will accept the changes and close the figure
When hovering over the Variable Selection button a info box will appear showing the currently included region.
Build CLSTI Model
To build a model, click on the light green Build Model button. The button will turn a dark green and the Save Model and Send Model to Analysis window icons will become enabled.
Save Model
Use the Save Model button to save the model to the workspace or to a file.
Send to Analysis
Use the Send Model to Analysis window to send the model to the CLSTI Analysis window and use for applying to new data.
Applying a CLSTI Model
A CLSTI model can be applied to new data by loading it into the CLSTI Analysis interface. The model can be loaded by:
- Right clicking on the Model block and selecting Load model
- Using the Send to Analysis window icon in the CLSTI Model Builder interface
Hovering over the model block will show some details of the CLSTI model. For example, the number of pure components, the pure component names, and the included variables.
A CLSTI model differs from other model types in that the calibrated CLSTI model has no scores or loadings to plot, thus those buttons are disabled when the model has not been applied and there is no prediction object.
Load Test Data
Test data can be formatted in various ways:
- In the X Block: A DataSet Object of test spectra and the corresponding temperatures in the axis scale set 1 for the rows (mode 1), or
- In the X Block: A DataSet Object of test spectra, and In the Temp Block: a vector of corresponding temperatures
Once test data has been loaded, click on the Gears icon or Prediction block to apply the model to the test data.