Issue Description

When I run the example cartpole with the default parameters, it can not converge to the max reward 200, I wonder what went wrong.

Version Information

Please indicate relevant versions, including, if relevant:

• Deeplearning4j versi

File "E:\New folder\multi-person-openpose.py", line 166, in
net = cv2.dnn.readNetFromCaffe(protoFile, weightsFile)
cv2.error: OpenCV(4.2.0) C:\projects\opencv-python\opencv\modules\dnn\src\caffe\caffe_io.cpp:1132: error: (-2:Unspecified error) FAILED: fs.is_open(). Can't open "pose/coco/pose_iter_440000.caffemodel" in function 'cv::dnn::ReadProtoFromBinaryFile'

There seems to be conflicting data on what the "OriginGeopoint" is. In the documentation it's referenced as the location of the PlayerStart while in code it's commented as the coordinates of Unreal level at the coordinates 0,0,0.

Code:
https://github.com/microsoft/AirSim/blob/e24a11d5985c1d6f573735f28a3844bc634559db/AirLib/include/common/AirSimSettings.hpp#L350

Documentation:
https://micro

Example scripts contains some dependencies not listed for Horovod, and in some cases require datasets without explaining how to obtain them. We should provide a README file along with a set of packages (requirements.txt) for successfully running the examples.

Is your feature request related to a problem? Please describe.
Other related issues: #408 #251
I trained a Chinese model for spaCy, linked it to [spacy's package folder]/data/zh (using spacy link) and want to use that for ludwig. However, when I tried to set the config for ludwig, I received an error, which tell me that there is no way to load the Chinese model.

ValueError: Key ch

From the code (input_pipeline.py) I can see that the ParallelTextInputPipeline automatically generates the SEQUENCE_START and SEQUENCE_END tokens (which means that the input text does not need to have those special tokens).

Does ParallelTextInputPipeline also perform **_padding

In operations_broadcast_test.go there are some tests that are not yet filled in. The point is to test that broadcasting works for different shapes. The semantics of broadcast probably isn't clear, so please do send me a message for anything.

This is a good first issue for anyone looking to get interested

How to use Watcher / WatcherClient over tcp/ip network?

Watcher seems to ZMQ server, and WatcherClient is ZMQ Client, but there is no API/Interface to config server IP address.
Do I need to implement a class that inherits from WatcherClient?

Looks like spacy 2.1 --> 2.2 has changed the way lemmatizer objects are built. See stack-overflow answer for details.

I can update the library to account for this migration. I have a fork that I can create a pull request from. Let me know.

Steps to reproduce the behavior:
Run
"fr

Issue Description

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• expected behavior
• encountered behavior

Version Information

Please indicate relevant versions, including, if relevant:

• Deeplearning4j version
• platform information (OS, etc)
• CUDA version, if used
• NVIDIA driver version, if in use

Contributing

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In the xlearning job web UI, the metrics graph can not be seen for these is no js for it.