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hmm.GaussianHMM(n_components=n_components, covariance_type="diag", n_iter=1000) self.n_components = n_components def fit(self, data): returns = np.column_stack([data.pct_change().dropna().values]) self.model.fit(returns) def predict(self, data): returns =