# KFoldValidation **`class KFoldValidation(config)`** Bases: [`Classifier`](squirro.lib.nlp.steps.classifiers.Classifier.md#squirro.lib.nlp.steps.classifiers.Classifier) The k-fold validation [`Classifier`](squirro.lib.nlp.steps.classifiers.Classifier.md#squirro.lib.nlp.steps.classifiers.Classifier) wrapper executes the specified [`Classifier`](squirro.lib.nlp.steps.classifiers.Classifier.md#squirro.lib.nlp.steps.classifiers.Classifier) into the k-fold validation principle. Based on the results of the k unseen test sets it creates the necessary files for the metrics and confusion matrix in the AI Studio Validation screens. **Note** - The stored model is based on all input data, k-fold validation is only produced for the metrics **Input** - Since it is a wrapper step check the used [`Classifier`](squirro.lib.nlp.steps.classifiers.Classifier.md#squirro.lib.nlp.steps.classifiers.Classifier) **Output** - Since it is a wrapper step check the used [`Classifier`](squirro.lib.nlp.steps.classifiers.Classifier.md#squirro.lib.nlp.steps.classifiers.Classifier) Parameters - `type` ([`str`](https://docs.python.org/3.11/library/stdtypes.html#str)) – kfold - `classifier` ([`str`](https://docs.python.org/3.11/library/stdtypes.html#str)) – model to be used Deprecated since version 3.2.0: Define classifier type using the `classifier_params` parameter. - `classifier_params` ([`dict`](https://docs.python.org/3.11/library/stdtypes.html#dict)`, ``{}`) – params - `k` ([`int`](https://docs.python.org/3.11/library/functions.html#int)`, ``5`) – DS splitting parameter - `output_path` ([`str`](https://docs.python.org/3.11/library/stdtypes.html#str)) – k-fold output path **Example** ```json { "step": "classifier", "type": "kfold" "k": 5, "label_field": "label", "output_field": "prediction", "output_path": "./ml_results.json", "classifier_params": { "step": "classifier", "type": "cosine_similarity", "input_fields": ["embedded_extract"], "output_field": "prediction", "label_field": "label", } } ``` Methods SummaryMethods Documentation **`process(docs)`** Process a set of documents Parameters `docs` (`generator``(`[`Document`](../technical/libnlp/base.md#squirro.lib.nlp.document.Document)`)`) – Generator of documents Returns Generator of processed documents Return type generator([Document](../technical/libnlp/base.md#squirro.lib.nlp.document.Document)) **`train(docs)`** Train on a step of a set of documents Parameters `docs` (`generator``(`[`Document`](../technical/libnlp/base.md#squirro.lib.nlp.document.Document)`)`) – Generator of documents Returns Generator of processed documents Return type generator([Document](../technical/libnlp/base.md#squirro.lib.nlp.document.Document))