This recipe includes the following topics:

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Estimator objects

An estimator is an object that extracts useful features from raw data. It may be a classfication, regression, or clustering algorithm or a transformer.

1) Fitting data
– All estimator objects expose a fit() method

estimator.fit(data)

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2) Estimator parameters
– All the parameters of an estimator can be set when it is instantiated

estimator = Estimator(param1=1, param2=2)
estimator.param1

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Choosing the right estimator

• Link to the interactive scikit-learn flowchart.