ADD: added kallman filter learning method (not tested) and random learning method + modifications in neural network to support the new functionality

FIX+MOD: corrected the L-M formulation, modified particle swarm to define its domain box around the current best guess (for the purposes of learning sequencing)

ENH + FIX: Fixed output problems of MSE evaluation and the data-set is not de-normalized anymore, when evaluating an error, thus the error can be evaluated multiple times (e.g. using different networks).

FIX: Fixed non-normalizing eval() method in ErrorFunctions + rewritten ErrorFunction classes to prevent duplication of code.

ADD: added proggress debug output for particle swarm optimization

FIX: Removed 'normalized' and 'de-normalized' evaluation as there is just 'de-normalized' natively from now.

FIX + ENH: Fixed network dimensions according to the new data. Now handling even 'bad argument' exceptions.