Re: [scikit-learn] [ANN] Scikit-learn 0.20.0

On 09/28/2018 04:45 PM, Javier López wrote: On Fri, Sep 28, 2018 at 8:46 PM Andreas Mueller > wrote: Basically what you're saying is that you're fine with versioning the models and having the model break loudly if anything changes. That's not actually wh

Re: [scikit-learn] [ANN] Scikit-learn 0.20.0

On Fri, Sep 28, 2018 at 8:46 PM Andreas Mueller wrote: > Basically what you're saying is that you're fine with versioning the > models and having the model break loudly if anything changes. > That's not actually what most people want. They want to be able to make > predictions with a given model

Re: [scikit-learn] [ANN] Scikit-learn 0.20.0

On 09/28/2018 03:20 PM, Javier López wrote: I understand the difficulty of the situation, but an approximate solution to that is saving the predictions from a large enough validation set. If the prediction for the newly created model are "close enough" to the old ones, we deem the unserialize

Re: [scikit-learn] [ANN] Scikit-learn 0.20.0

On Fri, Sep 28, 2018 at 6:41 PM Andreas Mueller wrote: > Javier: > The problem is not so much storing the "model" but storing how to make > predictions. Different versions could act differently > on the same data structure - and the data structure could change. Both > happen in scikit-learn. > So

Re: [scikit-learn] [ANN] Scikit-learn 0.20.0

How about a docker based approach? Just thinking out loud Best Manuel El vie., 28 sept. 2018 19:43, Andreas Mueller escribió: > > > On 09/28/2018 01:38 PM, Andreas Mueller wrote: > > > > > > On 09/28/2018 12:10 PM, Sebastian Raschka wrote: > I think model serialization should be a priority.

Re: [scikit-learn] [ANN] Scikit-learn 0.20.0

On 09/28/2018 01:38 PM, Andreas Mueller wrote: On 09/28/2018 12:10 PM, Sebastian Raschka wrote: I think model serialization should be a priority. There is also the ONNX specification that is gaining industrial adoption and that already includes open source exporters for several families o

Re: [scikit-learn] [ANN] Scikit-learn 0.20.0

On 09/28/2018 12:10 PM, Sebastian Raschka wrote: I think model serialization should be a priority. There is also the ONNX specification that is gaining industrial adoption and that already includes open source exporters for several families of scikit-learn models: https://github.com/onnx/o

Re: [scikit-learn] [ANN] Scikit-learn 0.20.0

> > > I think model serialization should be a priority. > > There is also the ONNX specification that is gaining industrial adoption and > that already includes open source exporters for several families of > scikit-learn models: > > https://github.com/onnx/onnxmltools Didn't know about that

Re: [scikit-learn] [ANN] Scikit-learn 0.20.0

Huge huge Thank you developers! Keep up the good work! El mié., 26 sept. 2018 20:57, Andreas Mueller escribió: > Hey everbody! > I'm happy to (finally) announce scikit-learn 0.20.0. > This release is dedicated to the memory of Raghav Rajagopalan. > > You can upgrade now with pip or conda! > > Th

Re: [scikit-learn] [ANN] Scikit-learn 0.20.0

> > > > I think model serialization should be a priority. > There is also the ONNX specification that is gaining industrial adoption and that already includes open source exporters for several families of scikit-learn models: https://github.com/onnx/onnxmltools -- Olivier __

Re: [scikit-learn] [ANN] Scikit-learn 0.20.0

On Fri, Sep 28, 2018 at 1:03 AM Sebastian Raschka wrote: > Chris Emmery, Chris Wagner and I toyed around with JSON a while back ( > https://cmry.github.io/notes/serialize), and it could be feasible I came across your notes a while back, they were really useful! I hacked a variation of it that d

[scikit-learn] Full time jobs to work on scikit-learn in Paris

Dear list, I am very happy to announce that the Inria foundation is looking to hire two persons to work with the scikit-learn in France: * One Community and Operation Officer: https://scikit-learn.fondation-inria.fr/job_coo/ We need a good mix of communication, organizational, and technical s