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Created with Raphaël 2.2.022Jan21181715109876330Dec29201826Nov252221161514117231Oct198426Sep21201918171514131211109876543231Aug30252423222120171614131211109876331Jul2726252423222019181716151312FIX: Trying to fix CI...FIX: Trying to fix CI...FIX: Trying to fix CI...FIX: Removing max and min values after de-normalization of data-set, so the is_normalized() method will again return 'False' after de-normalization.FIX: Removing max and min values after de-normalization of data-set, so the is_normalized() method will again return 'False' after de-normalization.FIX: Fixed de-normalization of already normalized data-set in MSE.FIX: Fixed de-normalization of already normalized data-set in MSE.FIX: Removed 'normalized' and 'de-normalized' evaluation as there is just 'de-normalized' natively from now.FIX: Removed 'normalized' and 'de-normalized' evaluation as there is just 'de-normalized' natively from now.FIX: MSE is now evaluated againts de-normalized dataFIX: MSE is now evaluated againts de-normalized dataFIX: Fixed Particle swarm methodFIX: Fixed Particle swarm methodFIX: Added missing spaces in DEBUG messages.FIX: Added missing spaces in DEBUG messages.ENH: Added more iterations in the example x2_fittingENH: Added more iterations in the example x2_fittingFIX: Fixed batch being passed as a parameter instead of alpha.FIX: Fixed batch being passed as a parameter instead of alpha.ENH: added de_normalize() method to DataSet class.ENH: added de_normalize() method to DataSet class.FIX: Fixed bad de-normalization formula.FIX: Fixed bad de-normalization formula.Rewritten to fit HS needs.Rewritten to fit HS needs.ENH: Added check of filepath existence.ENH: Added check of filepath existence.FIX: fixed an issue when the optimal weights are not set to the neural networkFIX: fixed an issue when the optimal weights are not set to the neural networkMerge branch 'tmp' of code.it4i.cz:kra568/4Neuro into devMerge branch 'tmp' of code.it4i.cz:kra568/4Neuro into devFIX: Added missing parameter (batch size) into Gradient Descent method.FIX: Added missing parameter (batch size) into Gradient Descent method.NEW: New example added - simple fitting of f(x)=x^2 using FFN.NEW: New example added - simple fitting of f(x)=x^2 using FFN.FIX: Added CrossValidator into 4neuro.h, i.e. APIFIX: Added CrossValidator into 4neuro.h, i.e. APIFIX: fixed an issue with NaN in GradientDescent caused by acos(x), added more debug info to errorfunction validationFIX: fixed an issue with NaN in GradientDescent caused by acos(x), added more debug info to errorfunction validationFIX: Boost is being rebuilt again