DashAI.back.converters.LabelBinarizer

class LabelBinarizer(**kwargs)[source]

Scikit-learn’s LabelBinarizer wrapper for DashAI.

Methods

`__init__`(**kwargs)
`changes_row_count`()	Indicates if the converter changes the number of rows in the dataset.
`fit`(x[, y])	Generic fit method for sklearn transformers
`fit_transform`(y)	Fit label binarizer/transform multi-class labels to binary labels.
`get_metadata`()	Get metadata values for the current converter.
`get_metadata_routing`()	Get metadata routing of this object.
`get_params`([deep])	Get parameters for this estimator.
`get_schema`()	Generates the component related Json Schema.
`inverse_transform`(Y[, threshold])	Transform binary labels back to multi-class labels.
`set_fit_request`(*[, x])	Configure whether metadata should be requested to be passed to the `fit` method.
`set_inverse_transform_request`(*[, threshold])	Configure whether metadata should be requested to be passed to the `inverse_transform` method.
`set_output`(*[, transform])	Set output container.
`set_params`(**params)	Set the parameters of this estimator.
`set_transform_request`(*[, x])	Configure whether metadata should be requested to be passed to the `transform` method.
`transform`(x[, y])	Generic transform method for sklearn transformers
`validate_and_transform`(raw_data)	It takes the data given by the user to initialize the model and returns it with all the objects that the model needs to work.

Attributes