Comments (10)
This makes sense 👍
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Should I make the PR?
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Let's do it. Also need to update the badges in the readme
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Finally time to get back to this. I am preparing a PR. One more thing: since we remove py3.8, we can rework a bit the type hints - no need to import List
from typing
, we can annotate with bare list
. Can I work on those too? Should I create a separate PR for that? ruff can do quick work of those.
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@topher-lo I think I shall also open another PR to take care of the type annotations currently in place. As I was writing: "since we remove py3.8, we can rework a bit the type hints - no need to import List from typing, we can annotate with bare list". Do you agree with that?
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This would be a breaking change, so let's bundle this PR with 0.10.
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Why would you say it's a breaking change? It's the internal API. But sure!
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Also I forgot to update the badges in the README 😱 How do I generate it from shields.io?
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Users currently using 3.8 when they run pip upgrade functime, an error will occur
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Will postpone this until Py38 actually becomes unsupported (i.e., once 3.13 comes out). I think it's good to support the same Pyversions as polars does.
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Related Issues (20)
- Run pre-commit/ruff on PR as well as checks on broken links HOT 1
- Allow `lags=0` in linear_model Class for Standard Regression Functionality HOT 1
- `cwt_coefficients` throws `ValueError` when computing `np.convolve` HOT 5
- Build: decouple from rust code
- Perform forecaster strategy parameter validation on init HOT 1
- DeprecationWarning: `_get_shared_lib_location` is deprecated HOT 1
- DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed HOT 2
- Reduced conversion precision prevents model fitting
- Error in transform_new Function Due to Index Column Mismatch in Scale Transformer HOT 1
- % support for plotting num_points param HOT 2
- Better decoupling from flaml
- Move benchmarks to a separate repo/different tests folder
- Cannot install project dependencies HOT 7
- [docs] plot_panel() and plot_forecasts() examples does not work in preprocessing notebook HOT 2
- [plotting] use consistent colors for validation splits
- Pin numpy version to avoid segmentation fault
- Rolling Feature Extractor
- Apply map_batches and forward in lazy mode with sequence and numeric.
- Version that works with Polars 1.0>=
- Impose an upper limit on the polars dependency for functime version 0.9.5
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