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Merge pull request #39 from nanxstats/news
Release tinytopics 0.7.2
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CHANGELOG.md

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# Changelog
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## tinytopics 0.7.2
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### New features
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- Add `TorchDiskDataset` class to support using `.pt` or `.pth` files
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as inputs for `fit_model()` and `fit_model_distributed()` (#38).
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Similar to `NumpyDiskDataset` added in tinytopics 0.6.0, this class also
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uses memory-mapped mode to load data so that larger than system memory
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datasets can be used for training.
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## tinytopics 0.7.1
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### Documentation

docs/changelog.md

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# Changelog
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## tinytopics 0.7.2
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### New features
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- Add `TorchDiskDataset` class to support using `.pt` or `.pth` files
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as inputs for `fit_model()` and `fit_model_distributed()` (#38).
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Similar to `NumpyDiskDataset` added in tinytopics 0.6.0, this class also
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uses memory-mapped mode to load data so that larger than system memory
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datasets can be used for training.
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## tinytopics 0.7.1
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### Documentation

pyproject.toml

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[project]
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name = "tinytopics"
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version = "0.7.1"
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version = "0.7.2"
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description = "Topic modeling via sum-to-one constrained neural Poisson non-negative matrix factorization"
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authors = [
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{ name = "Nan Xiao", email = "me@nanx.me" }

requirements-dev.lock

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rpds-py==0.22.3
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# via jsonschema
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# via referencing
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ruff==0.8.5
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ruff==0.8.6
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safetensors==0.5.0
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# via accelerate
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scikit-image==0.25.0

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