Workspace exposes most of the library functionality. It wraps the native code. The Workspace Python class should always be used instead of the binding

The feature type for the constructor of DFtoVW

Convert a pandas DataFrame to a suitable VW format. Instances of this class are built with classes such as SimpleLabel, MulticlassLabel, Featu

Vowpal Wabbit Scikit-learn Base Estimator wrapper

The simple label type for the constructor of DFtoVW.

Incremental version of https://en.wikipedia.org/wiki/Kahan_summation_algorithm

to make calls to "predict" (and "predictLDF") cleaner when you want to use crazy combinations of arguments

This descriptor class add type and value checking informations to the _Col instance for future usage in the DFtoVW class. Indeed, the type and val

The contextual bandit label type for the constructor of DFtoVW.

The multi labels type for the constructor of DFtoVW.

The namespace type for the constructor of DFtoVW. The Namespace is a container for Feature object(s), and thus must be composed of a Feature o

By default a cb class does not contain an observed cost.

sparse feature definition for the library interface

Vowpal Wabbit Classifier model for binary classification Use VWMultiClassifier for multiclass classification Note - We are assuming the VW.pre

Infix operators. The calling sequence for the infix is: x |op| y

The multiclass label type for the constructor of DFtoVW.

Vowpal Wabbit MultiClassifier model Note - We are assuming the VW.predict returns probabilities, setting probabilities=False will break this assum

construct node for tree.

Class for contextual bandits VW label

The example class is a wrapper around pylibvw.example. pylibvw.example should not be used. Most of the wrapping is to make the interface easie

An extraction task on a article.

Fixed text of template

Vowpal Wabbit Regressor model

Class for cb_continuous VW label

Class for contextual bandits eval VW label

Class for conditional contextual bandits VW label

Class for cost sensative VW label

The ExampleNamespace class is a helper class that allows you to extract namespaces from examples and operate at a namespace level rather than

Takes command-line input and transforms it into hyperopt search space An example of command-line input: --algorithms=ftrl,sgd --l2=1e-8..

One copy in each Extractor. @see https://doc.wikimedia.org/mediawiki-core/master/php/MagicWord_8php_source.html

Class for multiclass VW label with prediction

Class for multiclass VW label with probabilities

Class for multilabel VW label

The NamespaceId class is simply a wrapper to convert between hash spaces referred to by character (eg 'x') versus their index in a particular

Synchronous generation of next available file name.

OptionManager class for get_options support (backward compatibility)

File-like object, that splits output to multiple files of a given max size.