Kangas

New in this release:
1. Log PointCloud() data
2. Export Images and PointCloud data to Comet

New in this release:
1. Don't crash if an image doesn't have annotations

New in this release:
1. Added import from wandb:


kangas import --wandb stacey/mnist-viz/baseline:v4 mnist.datagrid

New in this release:
1. Removed `kangas server --root ` flag: was not used
2. Changed the remote strategy for exported files (need more work to make general)
3. Updated copyright dates
4. Set rows from command line
5. Added ability to see large text fields
6. Don't crash if image is None

New in this release:
1. Added UMAP projection, with docs (use `Embedding(projection="umap")`); requires `pip install umap-learn`
2. Remove status check on debounce for filter bar, in UI
3. Put a timeout on downloads (any path that is http or https)
4. Fixed two bugs in dg.read_csv(): handle no headers, if converted raises, use None value
5. Adjust the size of points in thumbnail scatter plots of embeddings
6. Updated notebook `Visualizing_embeddings_in_Kangas.ipynb`
7. Added `Embedding(scale=True)` for "umap" and "pca"

New in this release:

1. Pre-compute all embedding points in projection space
2. All kwargs to pass to projection from Embedding()
3. Allow PCA projections to not include all patterns for fit; use Embedding(include=False) for a row