Major Description
add classification model summary and training summary to each of the classification algorithms. The classification model summary basically gives a summary for all the classification algorithms evaluation metrics such as accuracy/precision/recall. The training summary describes information about model training iterations and the objective function (scaled loss + regularization) at each iteration. These are very useful information for users.
Attachments
1.
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Add a generic ClassificationSummary trait |
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Resolved | Huaxin Gao |
2.
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Add summary to FMClassificationModel |
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Resolved | Huaxin Gao |
3.
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Add summary to RandomForestClassificationModel |
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Resolved | Huaxin Gao |
4.
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Add summary for LinearSVCModel |
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Resolved | Huaxin Gao |
5.
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Add summary to MultilayerPerceptronClassificationModel |
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Resolved | Huaxin Gao |