Change Details

Update scikit-learn to 0.21.1 **Changes** - Fixed a bug in `metrics.pairwise_distances` where it would raise `AttributeError` for boolean metrics when X had a boolean dtype and `Y == None`. - Fixed two bugs in `metrics.pairwise_distances` when `n_jobs > 1`. - Fixed a bug in `neighbors.KernelDensity` which could not be restored from a pickle if sample_weight had been used. - Fixed a bug where `cluster.Birch` could occasionally raise an AttributeError. - Fixed a bug in `cluster.KMeans` where empty clusters weren’t correctly relocated when using sample weights. - Added support for 64-bit group IDs and pointers in SVMLight files.

Update scikit-learn to 0.21.1 and and drop python2 support **Changes** - Fixed a bug in `metrics.pairwise_distances` where it would raise `AttributeError` for boolean metrics when X had a boolean dtype and `Y == None`. - Fixed two bugs in `metrics.pairwise_distances` when `n_jobs > 1`. - Fixed a bug in `neighbors.KernelDensity` which could not be restored from a pickle if sample_weight had been used. - Fixed a bug where `cluster.Birch` could occasionally raise an AttributeError. - Fixed a bug in `cluster.KMeans` where empty clusters weren’t correctly relocated when using sample weights. - Added support for 64-bit group IDs and pointers in SVMLight files.

Update scikit-learn to 0.21.1 and and drop python2 support **Changes** - Fixed a bug in `metrics.pairwise_distances` where it would raise `AttributeError` for boolean metrics when X had a boolean dtype and `Y == None`. - Fixed two bugs in `metrics.pairwise_distances` when `n_jobs > 1`. - Fixed a bug in `neighbors.KernelDensity` which could not be restored from a pickle if sample_weight had been used. - Fixed a bug where `cluster.Birch` could occasionally raise an AttributeError. - Fixed a bug in `cluster.KMeans` where empty clusters weren’t correctly relocated when using sample weights. - Added support for 64-bit group IDs and pointers in SVMLight files.