DashAI.back.models.LinearSVR

class LinearSVR(**kwargs)[source]

Scikit-learn’s Linear Support Vector Regression (LinearSVR) wrapper for DashAI.

Methods

`__init__`(**kwargs)
`fit`(x_train, y_train)	Fit the estimator.
`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.
`load`(filename)	Load the model of the specified path.
`predict`(x_pred)	Make a prediction with the model.
`save`(filename)	Save the model in the specified path.
`score`(X, y[, sample_weight])	Return coefficient of determination on test data.
`set_fit_request`(*[, x_train, y_train])	Configure whether metadata should be requested to be passed to the `fit` method.
`set_params`(**params)	Set the parameters of this estimator.
`set_predict_request`(*[, x_pred])	Configure whether metadata should be requested to be passed to the `predict` method.
`set_score_request`(*[, sample_weight])	Configure whether metadata should be requested to be passed to the `score` method.
`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