DashAI.back.converters.LabelEncoder

class LabelEncoder(**kwargs)[source]

Scikit-learn’s LabelEncoder wrapper for DashAI that supports multiple columns.

Methods

`__init__`(**kwargs)
`changes_row_count`()	Indicates if the converter changes the number of rows in the dataset.
`fit`(x[, y])	Fit label encoders to each column in the dataset.
`get_metadata`()	Get metadata values for the current converter.
`get_schema`()	Generates the component related Json Schema.
`transform`(x[, y])	Transform columns preserving NaN values.
`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