Reopening this tracking issue for v0.3 after the first wave of commits were merged into main with #243. See #243 for more information on the scope of this reorganization.
Work introduced into this branch by #247
closes #237
closes #153
closes #100
Work introduced by #249
closes #223
closes #227
Restructured mock datasets to be computed on-the-fly, using NuFFT and some reference baselines. Deprecated much of mpoldatasets and Zenodo upload architecture, overly complicated to maintain.
Remaining work:
Changes to introduce Stochastic Gradient Descent workflow
Reorganize SimpleNet and the entire GriddedDataset workflow as an alternative option to SGD, with documentation about the use cases when one or the other might be preferred. closes #251
Documentation/"Getting Started" to explain how MPoL library usage follows the the normal ML paradigm with SGD (closes #188)
SGD uses TensorDataset and a DataLoader closes #162
Further documentation changes
in the process of moving many examples to MPoL-dev/examples so they are easier to maintain
Think about what content makes sense as rendered docs (code demonstrating key library functionality, building blocks, preferably concise) or as a longer .py file in examples/ (actual workflows following official pytorch/examples. E.g.,
Direct longer content to examples
25
Start examples directly from DSHARP datasets, removing need to download processed datasets from Zenodo & demonstrates required CASA work to user
Reopening this tracking issue for v0.3 after the first wave of commits were merged into
mainwith #243. See #243 for more information on the scope of this reorganization.Work introduced into this branch by #247
Work introduced by #249
mpoldatasetsand Zenodo upload architecture, overly complicated to maintain.Remaining work: Changes to introduce Stochastic Gradient Descent workflow
TensorDatasetand aDataLoadercloses #162Further documentation changes
.pyfile inexamples/(actual workflows following officialpytorch/examples. E.g.,examples25