Comments (8)
Issue has been solved, was a mistake on my end while loading it. Will create the model using it and send the PR asap.
Thanks @ToucheSir
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File a PR, maybe there is something wrong with your code
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A PR would be good, it would be awesome to have a very straightforward implementation focussing only on getting a dataset from that package suitable for use with Flux.
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Cool, have already made the model. Will make couple of changes so it is less complex and very easy to comprehend for beginners( can serve as a great starting point for them. ) Will work on the PR and try to do it asap
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A part of the problem I just encountered is that I am unable to actually load the Titanic Data from the MLDatasets library( have raised an issue ). Should I just implement it from reading from a csv file( like it was done by me in that library) and then create the complete model for use?
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I don't think there's any time crunch on this, so fixing the titanic dataset loading should be done first.
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Great will look into it. I had tested that locally was working then. After the release was created, I wasn't able to load it
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Having some troubles training the model for this dataset. After thorough EDA, features importance, data manipulation the testing accuracy is stuck at 0.6 using the simple Logistic regression using the Flux Dense layer. Just not able to improve the model accuracy on testing set after trying out various permutations and combinations by creating various models.( The different datatypes of input features makes it a tough choice of using a neural network rather than other algos ), If accuracy is not the most important thing, and helping user understanding on getting the data, training the data using the Flux.jl library and how to test on it, they I can do the PR.
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Related Issues (20)
- 60 minute blitz uses stacked Dense layers with no activation function HOT 1
- Add literature background to the models HOT 8
- flatten is no longer exported from Flux
- Use Metalhead.jl for the vision examples HOT 1
- MethodError using the ResNet transfer learning tutorial HOT 6
- diffusion_mnist broken throws CUDNNError: CUDNN_STATUS_BAD_PARAM (code 3) HOT 5
- [Question] how to understand out_conv_size in LeNet5 ? HOT 1
- `char-rnn.jl` is broken on Flux `v0.13.9` HOT 1
- vae_mnist increasing runtime and memory usage after each epoch HOT 5
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- Manifest files have the old format
- Need to update the tutorial "Deep Learning with Flux - A 60 Minute Blitz" HOT 1
- Problem with MNIST DCGANs tutorial HOT 5
- Transfer Learning Example lacks the depth required to showcase Flux HOT 2
- RNN Issue, it doesn't work as expected
- Trebuchet differentiable programming example throws ForwardDiff error HOT 2
- char-rnn example throws MethodError: no method matching ndims(::SubString{String})
- Update to Flux 0.14 HOT 2
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