iemodel evaluate train_model

The iemodel evaluate train_model command evaluates and trains an existing Information Extraction Module model. This function cannot be performed on a new model.
Note: For better results on evaluation and training of an existing Information Extraction Module, use this command: iemodel trainAndevaluate model. For details, refer iemodel trainAndevaluate model.


iemodel evaluate train_model --f trainingOptionsFile --u trueOrFalse --o outputFileName --c categoryCount --d trueOrfalse
Required Argument Description
Yes --f trainingOptionsFile Specifies the name and location of the training options file used to train the model. Directory paths you specify here are relative to the location where you are running the Administration Utility.
No --u overWriteIfExists Specifies whether to overwrite the existing trained model (if one exists). TrueOrFalse is one of the following:
Overwrites the existing model.
Does not overwrite the existing model.
No --o outputFileName Specifies the name and location of the output file that will store the evaluation results.
No --c categoryCount Specifies the number of categories in the model; must be a numeric value.
Note: It is applicable only for Text Classification model.
No --d trueOrfalse Specifies whether to display a table with entity wise detailed analysis; the value must be true or false, as below:
Detailed evaluation results are required.
Detailed evaluation results are not required.
The default is false.

The Model Evaluation Results table, with its columns as described below,displays the counts per entity.

Note: If the command is run without this argument or with the argument value false, the Model Evaluation Results table is not displayed. Only the Model Evaluation Statistics are displayed.


Model Evaluation Statistics
Executing this command displays these evaluation statistics in a tabular format:
  • Precision
  • Recall
  • F1 Measure
Model Evaluation Results
If the command is run with the argument --d true, the match counts of all the entities are displayed in a tabular format. The columns of the table are:
Input Count
The number of occurrences of the entity in the input data.
Mismatch Count
The number of times the entity match failed.
Match Count
The number of times the entity match succeeded.


This example:
  • Uses a training options file called "ModelTrainingFile" that is located in "C:\Spectrum\IEModels"
  • Overwrites any existing output file of the same name
  • Stores the output of the evaluation in a file called "MyModelTestOutput"
  • Specifies a category count of 4
  • Specifies that a detailed analysis of the evaluation is required
iemodel evaluate train_model --f C:\Spectrum\IEModels\ModelTrainingFile --u true --o C:\Spectrum\IEModels\MyModelTestOutput --c 4 --d true