it's the first time for me to leave a question here.
I'm currently using PyTorch on my research and trying to organize results with MLFlow.
I know that many problems when using MLflow on Windows10 but since there are no options for this... I'm trying to get used to it.
Errors that I encounter here are "Metrics 'desktop.ini' is malformed ...'
This error is nagging me when -
- Using
mlflow uito see experiment results from the past mlflow ui error - When trying to use
mlflow.pytorch.log_model(model, ...)pytorch.log_model error
These two are the main concerns for me. My question here is
- Is there other result organizing tools that I can use except tensorboard?
- Is there any method that can save
model.pthfrom pytorch to mlflow? + if it's impossible, are there any other formats that we use to save the configuration (such as YAML, other hierarchical languages like XML..)
Thank you
