История страницы
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The purpose of the action is to determine the rubric to which the text is closest, i.e. the rubric with the highest percentage of accuracy must be determined to allow a decision to be made about further actions with this text.
Parameters
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Input parameters
- Text for classification - text whose class is to be defined. The language can be any language. If there is a language different from the language of the training sample, the percentage of class definition will be close to zero.
- Trained model - the path to the folder that contains the trained classification model. The folder must contain two files: machine_model.pkl и tfidf_model.pk. Missing some file or changing the folder name to another one may cause an error.
Output parameters
- Result is a dictionary, where the key is the class name and the value is the percentage of occurrence in the given class. Sorting in the dictionary is performed by the percentage of occurrences in the class.
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and their settings
| Property | Description | Type | Filling example | Mandatory field |
|---|---|---|---|---|
| Parameters | ||||
| Text for classification | The text whose class needs to be defined. | Robin.String | Yes | |
| Trained model | The path to the folder that contains the trained classification model. | Robin.FolderPath | C:\doc\img | Yes |
| Results | ||||
| Result | Dictionary, where the key is the name of the class, and the value is the percentage of entry into this class. Sorting in the dictionary by the percentage of entry into the class. | Robin.Dictionary | ||
Special conditions of use
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Обзор
Инструменты контента