`n_iter` is a parameter in the `BernoulliRBM` class of the Python scikit-learn library, which represents the number of iterations for the training algorithm to optimize the Bernoulli Restricted Boltzmann Machine (RBM) model. The `n_iter` value determines how many times the RBM model will update its weights and biases to learn from the input data during the training process. Increasing the `n_iter` value may potentially improve the model's performance, but it also increases the computational time required for training.
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