Get the hashed feature id for a given feature in a given namespace. feature can either be an integer (already a feature id) or a strin

uint64_t index variant of VW::get_weight

the interface:

Invoke multi-line learning. By default will interpret input as text format, pass `--dsjson` or `--json` to initialize to use DSJSON or JSON respective

Load model from file

Both n and k must be non-zero

Returns the _Tag string representation. Args: df: The dataframe from which to select the column. Returns: The Tag string

All modern compilers will optimize this to the rotate intrinsic.

save model to disk

uint64_t index variant of VW::set_weight

Check if a test should be skipped.

If this example has been setup, reverse that process so you can continue editing the examples.

<summary> Creates the managed example representation. </summary> <returns>Returns the managed example.</returns>

<summary> Performs application-defined tasks associated with freeing, releasing, or resetting unmanaged resources. </summary>

<summary> Updates the object factory in a thread-safe manner. </summary> <param name="factory">The new object factory to be used.</param>

Clears the features and label.

<p> Closing the underlying VW model may take a long time (for instance if it is to make multiple passes). To address this, this method provides a stra

Returns true if the swap occurred, otherwise false.

* @brief Get the next random value in the range [0,1], but do not update the PRG state. * This means that if this is called successively, the same

Get the vw instance Returns: vowpalwabbit.Workspace: instance

rout based on the prediction