Logistic Function Fitting System

A Logistic Function Fitting System is a supervised model-based classification software system that implements a logistic regression algorithm to solve a logistic regression task.

• Context:
  • It can range from (typically) being a Binomial Logistic Regression System to being a Multinomial Logistic Regression System.
  • It can range from being a Logistic Regression Software Package to being a Logistic Regression Tool/Logistic Regression Library.
  • It can be implemented with a Generalized Linear Models System.
• Example(s):
  • a Python-based Logistic Regression System, such as sklearn.linear_model.LogisticRegression (in sklearn.linear_model).
  • org.apache.spark.ml.classification.LogisticRegression, in Spark.ML [1].
  • …
• Counter-Example(s):
  • a Linear Support Vector Machines System.
  • a CRF System.
  • a Classification Tree Training System.
• See: Algebraic Function Fitting System.

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