Comments (4)
Hi @cerebrate,
I'm glad you like the package. I am not that familier with the pros and cons of signed vs. unsigned assemblies. So I will have to investigate a bit to see what the downside of adding this would be.
With my current knowledge, I guess the primary downside would be restricting the libraries that SharpLearning can depend on, which is something I would prefer to avoid. However, I will investigate a bit an get back.
Alternatively, you can always fork SharpLearning and create a private signed build. This is of course more cumbersome than using the packages directly.
best regards
Mads
from sharplearning.
To the best of my knowledge, that's pretty much the only constraint signing imposes, since strong-named assemblies can't reference non-signed assemblies. At least Math.NET Numerics already ships signed, which is something, otherwise I'd just be shipping my current issue one step further upstream.
from sharplearning.
Hi @cerebrate,
Sorry about the slow response.
After researching a bit more about signed vs. unsigned, it seems that signed assemblies is a bit of a legacy thing from the early days of .net. This, together with restricting which libraries SharpLearning can depend on, makes me conclude that that it would be a wrong direction for the library. So sadly, signed versions is not something SharpLearning will officially support.
best regards
Mads
from sharplearning.
Thanks; we'll find a workaround. I appreciate you taking the time to consider it.
Regards,
Alistair
from sharplearning.
Related Issues (20)
- Add parallelism to Bayesian Optimizer. Also allow resampling non-deterministic algorithms HOT 2
- TrimSplitLineTrimColumnsToDictionary throws a "key already exists" exception HOT 1
- Issue with loading model using GenericXmlDataContractSerializer: The deserializer has no knowledge of any type that maps to this name HOT 4
- Order of results from RandomSearch is not deterministic with different iteration counts. HOT 1
- Is there a way to keep textual labels / targets as a part of the trained model? HOT 5
- Serialization Exception HOT 2
- Continuously improving a neural network over time using small batches. HOT 1
- SharpLearning.XGBoost.dll is not compatible with .net core HOT 6
- Exception when serializing neural net to XML HOT 2
- Code sharing HOT 3
- A way to Save Bayesian Optimizer progress and continue later. HOT 1
- Access OOB data and OOB error calculations of Random Forest HOT 2
- how can i train the Neural Network with my own Training Pictures? HOT 1
- HPO wiki page
- How can I be able to learn with your repository HOT 3
- Looking for an example for loading from a Stream source HOT 4
- Error in getting started code example HOT 1
- Unhandled Exception: System.Runtime.Serialization.SerializationException: The internal array cannot expand to greater than Int32.MaxValue elements. HOT 1
- SharpLearning can only load models trained in python with xgboost==0.82 HOT 1
- Monitoring training progress HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from sharplearning.