Comments (4)
vrk7bp
commented on May 27, 2024
In the mean time I've started running some VonMisesFisherMixture fits with no issue.
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jasonlaska
commented on May 27, 2024
Its possible that you are using a newer version of sklearn than this implementation expects. I'll look into a path to upgrading/simplifying it.
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vrk7bp
commented on May 27, 2024
Yep, I think you hit the nail on the head. I was running sklearn version 0.20.0. I looked at your requirements.txt and saw that the bare minimum was 0.19.0, so downgraded my local version and things seem to be going fine.
Thanks for the help (and the late night reply)! I'm a big fan of spherecluster, so thanks for putting this together and sharing.
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jasonlaska
commented on May 27, 2024
This has been updated, you can grab the latest (0.1.7) at https://github.com/jasonlaska/spherecluster/releases/tag/0.1.7 or from pypi.
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Related Issues (20)
- VMF scaling denominator was inf HOT 8
- black dependency breaks python3.5 install HOT 4
- Source install fails due exceptions in setup.py
- Question about sample_vMF HOT 8
- Initialization is using euclidean distance HOT 3
- Using Spherical clustering for Mini-Batch K-Means HOT 1
- Spherical K-Means is producing different results each run even when fixing `random_state` at an integer HOT 1
- TypeError: Expected sequence or array-like, got <class 'NoneType'> HOT 5
- ImportError: cannot import name '_k_means' HOT 10
- Returned labels are floats in VonMissesFisherMixture (soft and hard)
- pip package not up to date? HOT 8
- TypeError: _labels_inertia() got an unexpected keyword argument 'precompute_distances' HOT 2
- Mistake in sample_vMF HOT 1
- Error in _sample_orthonormal_to
- Cannot import spherecluster with scikit-learn 1.0.2: sklearn.cluster.k_means_ has been renamed HOT 3
- Using it for dataframe
- ValueError: Data l2-norm must be 1, found 0.0
- This repo is dead
- return value of movMF function includes None when n_jobs!=1 HOT 2
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