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Create compiled model objects #19

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vincentvanhees opened this issue Jun 6, 2016 · 1 comment

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Mimimal viable pr...

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vincentvanhees commented Jun 6, 2016 •

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Create architecture specific for one datasets (UCR) and stored the model objects

Input:

Data
Non-data dependent hyper-parameters: Number of nodes in layer, learning rate, convolution size,...

Output:

Compile model object

vincentvanhees added this to the Mimimal viable product milestone

dafnevk mentioned this issue

Build architecture based on Ordonez et al #20

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cwmeijer added a commit that referenced this issue


          learning rate generation for model generation #19

60694b5

cwmeijer assigned vincentvanhees

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vincentvanhees commented Jul 6, 2016

Looks good, i have added my comments inside the code and discussed with Dafne. Key points:

Hardcoded subset size. Maybe we should add check that subsetsize is not larger than dataset size and make that fractions of 1 are interpretted as a percentage of the full dataset rather than a number of files
Plots are created per model, which is useful. However, the end-user may also like having a single plot of all models to allow for easy model comparison

dafnevk closed this as completed

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