Hello,
Is it possible to change the tolerance for the PiecewiseLogCubicDiscount function in Python? If so, how? I'm currently getting an error "convergence not reached after 99 iterations" . Best, Ali -- Sent from my Android device with K-9 Mail. Please excuse my brevity. ------------------------------------------------------------------------------ What NetFlow Analyzer can do for you? Monitors network bandwidth and traffic patterns at an interface-level. Reveals which users, apps, and protocols are consuming the most bandwidth. Provides multi-vendor support for NetFlow, J-Flow, sFlow and other flows. Make informed decisions using capacity planning reports. https://ad.doubleclick.net/ddm/clk/305295220;132659582;e _______________________________________________ QuantLib-users mailing list [hidden email] https://lists.sourceforge.net/lists/listinfo/quantlib-users |
Hello, yes, it's possible to pass the tolerance. It's the "accuracy" parameter, so you can write e.g. curve = PiecewiseLogCubicDiscount(reference, helpers, dayCounter, [], [], accuracy) (the two empty lists are the jumps). However, it's more likely that there's a problem in the data. What rates are you passing to the curve? Luigi On Tue, Jun 7, 2016 at 7:46 PM Ali Hassani <[hidden email]> wrote: Hello, ------------------------------------------------------------------------------ What NetFlow Analyzer can do for you? Monitors network bandwidth and traffic patterns at an interface-level. Reveals which users, apps, and protocols are consuming the most bandwidth. Provides multi-vendor support for NetFlow, J-Flow, sFlow and other flows. Make informed decisions using capacity planning reports. https://ad.doubleclick.net/ddm/clk/305295220;132659582;e _______________________________________________ QuantLib-users mailing list [hidden email] https://lists.sourceforge.net/lists/listinfo/quantlib-users |
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