A utility library that wraps Weka library. This library works
with zensols.model.weka do the following:
This namspace uses the resource
location system to
configure the location of files and output analysis files. For more
information about the configuration specifics see model-read-resource
and [[analysis-dir]], which both
use resource-path.
You probably don't want to use this library directly. Please look
at zensols.model.eval-classifier and zensols.model.execute-classifier.
A utility library that wraps Weka library. This library works
with [[zensols.model.weka]] do the following:
* Cross validate models
* Manage and sort results (i.e. cross validations)
* Train models
* Read/write ARFF files
This namspace uses the [resource
location](https://github.com/plandes/clj-actioncli#resource-location) system to
configure the location of files and output analysis files. For more
information about the configuration specifics see [[model-read-resource]]
and [[analysis-dir]], which both
use [resource-path](https://plandes.github.io/clj-actioncli/codox/zensols.actioncli.resource.html#var-resource-path).
You probably don't want to use this library directly. Please look
at [[zensols.model.eval-classifier]] and [[zensols.model.execute-classifier]].A client entry point library to help with evaluating machine learning
models. This library not only wraps the Weka library but also provides
additional functionality like a two pass cross
validation (see with-two-pass).
A *client* entry point library to help with evaluating machine learning models. This library not only wraps the Weka library but also provides additional functionality like a two pass cross validation (see [[with-two-pass]]).
A client entry point library to help with executing a trained classifier.
The classifier is tested and trained in the zensols.model.eval-classifier
namespace.
This library expects that you configure your model. To learn how to do that,
see with-model-conf and see the repo
docs.
A *client* entry point library to help with executing a trained classifier. The classifier is tested and trained in the [[zensols.model.eval-classifier]] namespace. This library expects that you configure your model. To learn how to do that, see [[with-model-conf]] and see the [repo docs](https://github.com/plandes/clj-ml-model).
Wraps the Weka Java API. This is probably the wrong library to use
for most uses. Instead take a look at zensols.model.eval-classifier
and zensols.model.execute-classifier.
Wraps the Weka Java API. This is probably the wrong library to use for most uses. Instead take a look at [[zensols.model.eval-classifier]] and [[zensols.model.execute-classifier]].
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