Reward Function

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• Jaccard Index: Jaccard Index is a similarity measure that is used to compare the similarity and diversity of sample sets. It is defined as the size of the intersection of two sets divided by the size of the union of the sets. In other words, it measures t ... Read More >>
• Plaintext: Unsupervised learning is a type of machine learning where the model is trained on unlabeled data without any specific target variable. The goal of unsupervised learning is to identify patterns and relationships in the data, and group simila ... Read More >>
• Latent Factors: Latent factors are underlying, unobserved variables that explain the relationships between observed variables in a dataset. In data science and machine learning, latent factor analysis is a technique used to identify these underlying factor ... Read More >>