> For the complete documentation index, see [llms.txt](https://serving.konduit.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://serving.konduit.ai/references/pipeline-steps/classifier_output.md).

# CLASSIFIER\_OUTPUT

`ClassifierOutputStep` takes as input a numerical 2d NDArray (i.e., float/double etc. type) with shape \[minibatch, numClasses] which represents the softmax predictions for a standard classifier and returns based on this array:

1. The predicted class label - as a String
2. The predicted class index - as an integer (long)
3. The predicted class probability - as a Double

| Configs          | Descriptions                                                                                                                                                                     |
| ---------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| inputNames       | Optional. If set: this represents the NDArray. If not set: use DataUtils.inferField to find an NDArray field. Default is `null`.                                                 |
| returnLabel      | Default is true; if false, don't return label.                                                                                                                                   |
| returnIndex      | Default is true; if false, don't return index.                                                                                                                                   |
| returnProb       | Default is true; if false, don't return probability.                                                                                                                             |
| labelName        | Output names for the labels. Default value is `label`.                                                                                                                           |
| indexName        | Output names for the index. Default value is `index`.                                                                                                                            |
| probName         | Output names for the labels probabilities. Default value is `prob`.                                                                                                              |
| labels           | As a List\<String>. Optional. If not specified, the predicted class index as a string is used - i.e., `\"0\"`, `\"1\"`, etc. Default value is `null`.                            |
| topN             | Integer, `null` by default. If non-null and > 1, we return `List<String>`, `List<Long>`, `List<Double>` for the predicted class/index/probability instead of String/Long/Double. |
| allProbabilities | If `true`, also returns a `List<List<Double>>` of all probabilities (basically, convert NDArray to list). `false` by default.                                                    |