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highlights
Introducing the data scientist pipeline. Now the user can run all steps from a workflow using the learningOrchestra steps, there are steps that enable a python code execution, and also there are steps to run methods from popular libs as scikitLearn.
With the data scientist pipeline feature, we remove the PCA and TSNE features, the user can run this methods using the /explore feature, enabling the execution from several methods from libs as sckitLearn, and automatically plotting the result.
There are fixes to improve the learningOrchestra performance and to kill bugs.