- Adds log to display the python version the algorithm is using.
- Fixes python algorithms that were failing because of small subtleties
like leading zeroes.
- Updates pythonnet with a version compiled with python 3.6 flags
- Changes in DockerfileFoundation: we now use miniconda to manage the python
environment.
- Took the opportunity to add NTLK (#1349), Tensorforce (#1369) and
PyTorch/Pyro (#1385).
- Changes readme in Algorithm.Python to show steps to install miniconda
In this update, methods overloads with decimal parameters accept python float.
- Fixes FractionalQuantityRegressionAlgorithm:
With the pythonnet update we can pass a python float where a decimal is required.
In this new nuget package, we have included two versions Python.Runtime.dll for macOS
We also add the instructions to compile pythonnet for different operational systems
This update implemented implicit conversion.
From now on, python algorithms will be able to use string object instead of Symbol object when a method overload requires Symbol.
Calling Impromptu.ActLike<IAlgorithm> to make the python object acts like a IAlgorithm caused multiple AlgorithmPythonWrapper objects running in parallel to hold the same python object. That call was removed and instead we access the python object directly.
- Removes AlgorithmPythonUtil.py and add its code directly in AlgorithmPythonWrapper.cs
- Clean up: removes all references to IronPython and ImpromptuInterface
This new pythonnet package makes available the latest version from pythonnet master branch and includes modifications to enable charting in Lean for python.
The dockerfile to create images for the cloud is updated to reflect the package update and adds keras and tensorflow
AlexCatarino