Training and Predicting: fit, predict, predictproba

57 min
Block 8 — Training the model
Objective
treat the scikit-learn estimator API as a conceptual model rather than a set of function names; state exactly what fit computes and where it stores it; separate a decision, a decision score and a probability without hesitation; read the column order of predict_proba correctly every time; define a calibrated classifier and measure calibration before and after correction; compose estimators with Pipeline and understand how fit cascades; write a custom transformer that passes check_estimator; and state the train/serve contract that a serialized model carries with it.
Estimated duration
75 minutes
Prerequisites
chapters 008, 009, 026 and 028
Associated quizzes
029.1-quiz-unified-interface.md to 029.7-quiz-regression-intervals.md

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This lesson is part of the “Training the Model” module

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