Now is possible use tensorflow in steps like create a model, train this model, and more!
The function/python enables the operations doesn't supported in learningOrchestra, is possible use this feature between workflow steps.
dataset/generic enable the storage of any dataset format available from an url, use the function/python to treat the dataset format to a proper format like numpy or dataframe.
1.3.0
3 years ago
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.
1.0.0
3 years ago
This release has the initial version of learningOrchesta.
highlights
Several microservices to diferent steps of data scientist processing.
Scalable spark workers to Machine Learning processing.
Easy deploy in cluster environments, including the Cloud.
Python client to facilitate the microservices utilization.