address-net
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jasonrig
A package to structure Australian addresses
Hi, On applying addressnet to address be like "677 Timpany BLVD" , predict_one shows street_type as "BLVD" instead of "BOULEVARD". Well, apart from this i want to apply it to...
Currently, I want to try to retrain a new model but it's hard for me. As you said, "you are free to train this model using the model_fn provided" https://github.com/jasonrig/address-net#pretrained-model...
I have a deployed a simple AWS hosted web app of this project with its pretrained model at [https://address-app.infocruncher.com](https://address-app.infocruncher.com/) It's been up and running for over 6 months and isn't...
Hello, First of all, thank you for the opportunity to use the code you wrote. I'm trying to train a new model, but the result I get after that is...
Hello, this is looking to be perfect for the project I'm working on right now but encountered an issue with what seems to be the Tensorflow version dependency. I understand...
### Summary I updated the address-net files and model to work with Tensorflow v2. The benefit of this is that you can now use Python v3.6-3.9 with address-net. Previously, as...
Hello, I had used your package and it is very usefull. But the my data is formatted in UNICODE, which is Vietnamese, and it not working well. So can i...
https://github.com/jasonrig/address-net/blob/master/addressnet/predict.py#L111 Add blank dictionary for `params` to suppress warning and improve inference performance. See issue #1 for details.
The inference batch size is currently fixed to 1. This should be configurable. See: https://github.com/jasonrig/address-net/blob/master/addressnet/dataset.py#L499