DashAI.back.converters.sklearn_wrapper.SklearnWrapper

class SklearnWrapper(**kwargs)[source]

Abstract class to define generic rules for sklearn transformers.

Methods

`__init__`(**kwargs)
`changes_row_count`()	Indicates if the converter changes the number of rows in the dataset.
`fit`(x[, y])	Fit the sklearn transformer to the data.
`get_metadata`()	Get metadata values for the current converter.
`get_output_type`([column_name])	Each sklearn converter must implement this method to specify its output type.
`get_schema`()	Generates the component related Json Schema.
`transform`(x[, y])	Transform the data using the fitted sklearn transformer.
`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