RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.
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System Total Fail due to double-Number conversion problems for non "es-US" Cultures #41
Hi, I trained the sample, for english BIO NER labeler, adn the training was OK
But when running the TEST batch, it fails TOTALLY!
The labels got were absolutely NUTS!
so I started to din inside algorithms, and found a BIG PROBLEM
when you write down the training and model files, and use a "string" as double, in "en-US" culture, the decimal point is a "." while in spanish culture, it is a "," so when writing down and reading agfain the files, there is a inconsistency (if used as string) so the solution is 2 ways
1) use this way (modelReader.cs)
Hi, I trained the sample, for english BIO NER labeler, adn the training was OK But when running the TEST batch, it fails TOTALLY! The labels got were absolutely NUTS!
so I started to din inside algorithms, and found a BIG PROBLEM when you write down the training and model files, and use a "string" as double, in "en-US" culture, the decimal point is a "." while in spanish culture, it is a "," so when writing down and reading agfain the files, there is a inconsistency (if used as string) so the solution is 2 ways 1) use this way (modelReader.cs)
2) add this to the first run inside a MAIN() loop for console apps.
And now it works!