What is the significance of max_iter in sklearn.cluster.MiniBatchKMeans? Is this the maximum number of times partial_fit() can be executed on batches of data?
Maximum number of iterations over the complete dataset before stopping independently of any early stopping criterion heuristics.
It's the number of iteration over the full dataset.
Number of partial_fit will depend on batch_size
Size of the mini batches.
partial_fit(self, X[, y, sample_weight])
Update k means estimate on a single mini-batch X.