SdcaModel is a class in the TensorFlow Python library that represents a linear model trained using the Stochastic Dual Coordinate Ascent (SDCA) optimization method. This model is used for solving linear regression and support vector machine (SVM) classification problems. The SDCA algorithm is a variant of the coordinate descent method that efficiently trains the linear model by updating one coordinate at a time. The SdcaModel class provides methods for training, evaluating, and making predictions using the linear model.
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