Comments (2)
thanks!
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This is resolved in version 0.1.6 available on pypi or from https://github.com/clara-labs/spherecluster/releases/tag/0.1.6
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Related Issues (20)
- VMF scaling denominator was inf HOT 8
- black dependency breaks python3.5 install HOT 4
- AttributeError: 'SphericalKMeans' object has no attribute '_check_fit_data' 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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