Comments (6)
commented on July 3, 2024
Hey, How did you mange to resolve this issue? I'm running into the same one myself and am rather stumped currently!
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JafferWilson
commented on July 3, 2024
@m-nevin I didn't resolved it. I left this repository as there wasn't any replies for days. Here I guess no one had time to even look into the issue. Hence, I went for something else. I was trying to use it for my project of sentiment analysis.
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commented on July 3, 2024
@JafferWilson - Ah that's unfortunate, I was hoping to get some personality detection working myself.
Doesn't appear to be a readily maintained repo unfortunately.
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JafferWilson
commented on July 3, 2024
@m-nevin Yeah. I know. They say they will help but they are busy with other work so they can't.
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commented on July 3, 2024
Shame, taking quick look I can see a few potential points of friction that might be causing this, I'm going to see if I can get this working, if so i will fork and push it for other if theres's interest
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JafferWilson
commented on July 3, 2024
Thank you @m-nevin if you get then please do share.
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Related Issues (20)
- how get mairesse file HOT 2
- could not decrease loss function
- Preprocessing Never Terminating
- process_data.py运行最后报memoryError，我是8G，怎么解决？
- Process_data.py run error, display memoryError, I use win10, 8G memory, how to solve? HOT 6
- What should be the input data for test?
- How to run this project please send step by step
- naming conventions in the code. HOT 1
- Will you create a Python 3 version of this? Thank you! HOT 3
- Test Data HOT 1
- 'function' object has no attribute 'func_name' HOT 3
- Python 3 HOT 45
- TypeError: Cannot convert Type TensorType(float64, matrix) (of Variable Subtensor{int64:int64:}.0) into Type TensorType(float32, matrix). You can try to manually convert Subtensor{int64:int64:}.0 into a TensorType(float32, matrix). HOT 2
- Unable to configure cpu
- Issue with executing conv_net_train.py HOT 31
- process_data.py with GoogleNews-vectors-negative300.bin.gz file HOT 1
- TypeError: expected str, bytes or os.PathLike object, not Word2VecKeyedVectors while loading GoogleNews-vectors-negative300-SLIM.bin file
- How to use the trained model to predict the personality score? HOT 1
- MemoryError: Apply node that caused the error: AdvancedSubtensor1(Words, Elemwise{Cast{int32}}.0) HOT 1
- #include<iostream> #include
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