Update NLSA.py

got rid of if self.K_ > int(max_K_dense):
raise ValueError(
f"K={self.K_} windows too large for dense NLSA in this implementation. "
f"Increase max_K_dense or use a sparse/kNN approximation."
)

NLSA.py

@@ -160,12 +160,6 @@ class NLSA:
             raise ValueError(f"N={self.N_} must be >= L={self.L}")
         self.K_ = self.N_ - self.L + 1
 
-        if self.K_ > int(max_K_dense):
-            raise ValueError(
-                f"K={self.K_} windows too large for dense NLSA in this implementation. "
-                f"Increase max_K_dense or use a sparse/kNN approximation."
-            )
-
         self.rank_req_ = int(rank)
         self.beta_in_ = beta
         self.alpha_ = float(alpha)