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machine-learninglinear-regressiontensorflow2.0

What Does tf.estimator.LinearClassifier() Do?

In TensorFlow library, what does the tf.estimator.LinearClassifier class do in linear regression models? (In other words, what is it used for?)

Solution

  • Linear Classifier is nothing but Logistic Regression.

    According to Tensorflow documentation, tf.estimator.LinearClassifier is used to

    Train a linear model to classify instances into one of multiple possible classes. When number of possible classes is 2, this is binary classification

    Linear regression predicts a value while the linear classifier predicts a class. Classification aims at predicting the probability of each class given a set of inputs.

    For implementation of tf.estimator.LinearClassifier, please follow this tutorial by guru99.

    To know about the linear classifiers, read this article.