Comments (2)
Installation via conda fails also (tried conda-forge and anaconda channels, both of which have a 0.6.x version). The installation as such "succeeds" but geopandas cannot be imported due to a DLL load failing.
@MischaPanch, geopandas also has many transitive dependencies. We should consider making it an optional dependency.
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Making geopandas fully optional has sufficiently resolved this. Users who want to use it can use conda to install it themselves or whatever.
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Related Issues (20)
- Support models that can input and predict multidimensional tensors HOT 1
- Write evaluation methods for TensorModel
- Support training on (non-in-memory) datasets for VectorModel-derived classes HOT 5
- Build fails upon force-push to develop HOT 1
- Add pytorch-lightning to sensai[torch] dependencies HOT 1
- Refactoring of the clustering package, bundling geo-analytics stuff in a separate optional package
- Do not track rst-files in repository HOT 4
- Fix publish package github workflow HOT 1
- Generalize SpanningTree and graph-related methods HOT 2
- Support passing separate validation data set to pytorch-lightning based models HOT 12
- Notebook tests can fail HOT 2
- Notebook Test Failure: PyTorch-Lightning ImportError HOT 2
- Rule-Based Models' fit interface
- Notebook test failure due to TypeError in nbconvert HOT 1
- Simplify/improve naming of evaluator/evaluation utility classes HOT 1
- Add tests for evaluation util classes
- Add tests for regression models HOT 1
- Add backwards compatibility tests from v0 to v1 HOT 1
- Update notebooks to v1 and re-enable them for the docs build
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