Home
APS
Downloads
Buy APS
Support
Register
Contact us
Knowledge Base of APS
Subscribe to the GEPList
Visit GEP
|
APS Editions
|
|
Panels |
|
The Panels Menu gives access to the following
sub-menus:
Report
Shows the report of the active run.
Training Data
Shows and plots the training data.
Testing Data
Shows and plots the testing data.
Transformed TS
Shows and plots the time series after its transformation for
training.
Original TS
Shows and plots the original time series.
General Settings
Gives access to all the general settings of a run, such as
number of chromosomes, number of genes, linking function, etc.
Fitness Function
Gives access to the Fitness Function Window where the fitness
function is chosen and/or designed.
Genetic Operators
Gives access to the Genetic Operators Window where the degree of
genetic modification is chosen.
Numerical Constants
Gives access to the Numerical Constants Window where the parameters
necessary for handling random numerical constants are chosen.
Functions (Math)
Gives access to all the functions and rules, including Dynamic
UDFs (DDFs).
Static UDFs
Gives access to all the static UDFs.
Run
Shows the Run Panel.
History
Shows the evolutionary history of the run.
Training Results
Compares the target values with the predicted values using either a Table or
Charts for the training set. Shows also essential statistical indexes of
performance on the training set.
Testing Results
Compares the target values with the predicted values using either a Table or
Charts for the testing set. Shows also essential statistical indexes
used for evaluating the generalizing capabilities on the testing set.
Predictions
(Time Series)
Shows and plots the output of the model on the recursive
predictions.
Recursive Testing
(Time Series)
Compares the target values with the output of the model on the
recursive testing using Tables and Charts. Shows also essential statistical indexes of
the predictive performance on the recursive testing.
Training
(Time Series)
Compares the target values with the predicted values using Tables and
Charts on the training set. Shows also essential statistical indexes of
performance on the training set.
Expression Tree
Shows the Expression Tree representation of the model.
Model in Karva
Shows the model in Karva notation.
Model in C#
Shows the model in C#.
Model in C++
Shows the model in C++.
Model in C
Shows the model in C.
Model in Fortran
Shows the model in Fortran.
Model in Java
Shows the model in Java.
Model in Javascript
Shows the model in JavaScript.
Model in VB.NET
Shows the model in VB.NET.
Model in Visual Basic
Shows the model in Visual Basic.
|
|
Home | Contents |
Previous | Next
|
|