Python Like MALE5
Python Like MALE5
The introduction of fit | fit_transofm, predict, transform, and predict_proba that is commonly used is Python Scikit learn and Tensorflow models have been introduced, This aids Machine learning coders from Python to find the library easy to use since these methods works the same in python and MQL5, even though they may lead to different outcomes.
Major Updates
- There is no longer a CMatrixUtils class; It has been replaced by the class MatrixExtend which is a static class making it easy to access matrix extension functions without the need to call the instance of a class.
- There is no CPreprocessing class; Each normalization technique can be called an independent class, such as
StandardizationScaler,MinMaxScaleretc. - CLabelEncoder class introduced; CSV files will be opened with the encoding process forcibly applied.
- CMetrics converted into Metrics static class, there is no need to call the entire instance of CMetrics class to use any of the metrics found inside the library
BugFixes
** Matrix manipulation bugs fixed
** Normalization techniques bugfixed