throw new InvalidOptimizableException("rho = " + rho + " < 0: " + "Invalid hessian inverse. " + "Gradient change should be opposite of parameter change.");
finishedTraining = optimizer.optimize (1); } catch (InvalidOptimizableException e) { e.printStackTrace(); logger.warning("Catching InvalidOptimizatinException! saying converged."); finishedTraining = true; finishedTraining = optimizer.optimize (); } catch (InvalidOptimizableException e) { e.printStackTrace(); logger.warning("Catching InvalidOptimizatinException! saying converged."); finishedTraining = true;
throw new InvalidOptimizableException("rho = " + rho + " < 0: " + "Invalid hessian inverse. " + "Gradient change should be opposite of parameter change.");
finishedTraining = optimizer.optimize (1); } catch (InvalidOptimizableException e) { e.printStackTrace(); logger.warning("Catching InvalidOptimizatinException! saying converged."); finishedTraining = true; finishedTraining = optimizer.optimize (); } catch (InvalidOptimizableException e) { e.printStackTrace(); logger.warning("Catching InvalidOptimizatinException! saying converged."); finishedTraining = true;
throw new InvalidOptimizableException("rho = " + rho + " < 0: " + "Invalid hessian inverse. " + "Gradient change should be opposite of parameter change.");
finishedTraining = optimizer.optimize (1); } catch (InvalidOptimizableException e) { e.printStackTrace(); logger.warning("Catching InvalidOptimizatinException! saying converged."); finishedTraining = true; finishedTraining = optimizer.optimize (); } catch (InvalidOptimizableException e) { e.printStackTrace(); logger.warning("Catching InvalidOptimizatinException! saying converged."); finishedTraining = true;
private void backTrackingLineSearch() { double origDirDeriv = dirDeriv(); if (origDirDeriv >= 0) { throw new InvalidOptimizableException( "L-BFGS chose a non-ascent direction: check your gradient!");
private void backTrackingLineSearch() { double origDirDeriv = dirDeriv(); if (origDirDeriv >= 0) { throw new InvalidOptimizableException( "L-BFGS chose a non-ascent direction: check your gradient!");
private void backTrackingLineSearch() { double origDirDeriv = dirDeriv(); if (origDirDeriv >= 0) { throw new InvalidOptimizableException( "L-BFGS chose a non-ascent direction: check your gradient!");
throw new InvalidOptimizableException ("Slope = " + slope + " is negative"); throw new InvalidOptimizableException ("Slope = " + slope + " is zero");
throw new InvalidOptimizableException ("Slope = " + slope + " is negative"); throw new InvalidOptimizableException ("Slope = " + slope + " is zero");
throw new InvalidOptimizableException ("Slope = " + slope + " is negative"); throw new InvalidOptimizableException ("Slope = " + slope + " is zero");
throw new InvalidOptimizableException ("sy = "+sy+" > 0" ); throw new InvalidOptimizableException ("gamma = "+gamma+" > 0" );
throw new InvalidOptimizableException ("sy = "+sy+" > 0" ); throw new InvalidOptimizableException ("gamma = "+gamma+" > 0" );
throw new InvalidOptimizableException ("sy = "+sy+" > 0" ); throw new InvalidOptimizableException ("gamma = "+gamma+" > 0" );
throw new InvalidOptimizableException ("The search direction \"line\" does not point down uphill. " + "gradient.dotProduct(line)="+ag+", but should be positive");
throw new InvalidOptimizableException ("The search direction \"line\" does not point down uphill. " + "gradient.dotProduct(line)="+ag+", but should be positive");
throw new InvalidOptimizableException ("The search direction \"line\" does not point down uphill. " + "gradient.dotProduct(line)="+ag+", but should be positive");