Comments (1)
Fixed in 35c8eb5 by removing the call to the private API _make_predict_function
, which is discouraged (keras-team/keras#13116).
The line doesn't seem necessary when testing with any version of TensorFlow that can run ivis (from TensorFlow 1.13.1 upwards). Updated minimum TensorFlow version requirements in requirements.txt
(295bb54).
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Related Issues (20)
- `NotFittedError` after caching and reloading fitted `Ivis` instance HOT 2
- Suggest implementing `predict_proba` and `predict` methods for Ivis object. HOT 1
- How does ivis compare to UMAP? HOT 2
- Add conda-forge package
- About scaling HOT 2
- `KeyError` followed by `joblib.externals.loky.process_executor.BrokenProcessPool` when using `sklearn.model_selection.GridSearchCV` with `n_jobs != 1` HOT 3
- One of the unit tests (knn_retrieval) can fail (machine dependent?) HOT 1
- OSError HOT 1
- attempt to apply non-function HOT 9
- Extremely slow extraction of KNN neighbours on 100k samples HOT 4
- InternalError: Graph execution error: HOT 4
- 2D visulization of crowded cluster with ivis HOT 1
- model_save: optimizer is not compatible with pickle HOT 4
- How to get stable results? HOT 4
- Ivis is not able to run inference on a sparse matrix
- Reproducibility HOT 2
- `chunk_size` in knn set to 0 HOT 2
- Ivis seems to provoke errors when composing a sklearn.pipeline.Pipeline passed to sklearn.model_selection.GridSearchCV and executed in parallel HOT 10
- classification_weight Parameter HOT 2
- Meaning of "Observations" on https://bering-ivis.readthedocs.io/en/latest/hyperparameters.html HOT 2
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