HIRISE_api.models.metrics¶
Functions
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Function that calulates metrics including, rand score, adjusted rand score, mutual information score, normalized mutual information score, adjusted mutual information score, balanced accuracy score, completeness score, homogeniety score and v-score for a given model. |
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Fucntion that creates a metrics dataframe based on the calculated metrics for each model in the model list specified by the user. |
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Function that returns a generated a dataframe of all the precision values evaluated for a true and predicted labels after classifiaction analysis on a dataset. |
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Function that prints the confusion matrix metric for a given set of image clustering results and the associated images. |