Encog.App.Analyst.Commands NamespaceEncog Machine Learning Framework for .Net

[Missing <summary> documentation for "N:Encog.App.Analyst.Commands"]

Classes

  ClassDescription
Public classCmd
Base class for Encog Analyst commands. This class defines the properties sent to a command.
Public classCmdBalance
Performs the balance command. This allows large classes to have members discarded.
Public classCmdCluster
This command is used to randomize the lines in a CSV file.
Public classCmdCode
This command is used to generate the binary EGB file from a CSV file. The resulting file can be used for training.
Public classCmdCreate
The Encog Analyst create command. This command is used to create a Machine Learning method.
Public classCmdEvaluate
This class is used to evaluate a machine learning method. Evaluation data is provided and the ideal and actual responses from the machine learning method are written to a file.
Public classCmdEvaluateRaw
This class is used to evaluate a machine learning method. Evaluation data is provided and the ideal and actual responses from the machine learning method are written to a file.
Public classCmdGenerate
This command is used to generate the binary EGB file from a CSV file. The resulting file can be used for training.
Public classCmdNormalize
The normalize command is used to normalize data. Data normalization generally maps values from one number range to another, typically to -1 to 1.
Public classCmdProcess
This command is used to preprocess a CSV file.
Public classCmdRandomize
This command is used to randomize the lines in a CSV file.
Public classCmdReset
Analyst command that allows all properties to be reset to what they were originally loaded from the Encog EGA file.
Public classCmdSegregate
This command is used to segregate one CSV file into several. This can be useful for creating training and evaluation sets.
Public classCmdSet
The set command allows a script to override a property value.
Public classCmdTrain
This command is used to perform training on a machine learning method and dataset.