-
Hi there!
I currently use UMAP a lot in my projects and am aware of some its limitations so it's great to see new algorithms popping up that aim to fix some of the shortcomings in the field. UMAP h…
-
First thanks for this great tool.
I'm a little confused by the radius parameter:
`nn = pynanoflann.KDTree(n_neighbors=5, metric='L1', radius=100)`
It seems like I can set this to a tiny value and…
-
Hi David,
I was trying to run a range of metrics from pycalibration, yet I seem to be unable to get them to work due to julia syntax being so different.
So I start by generating synthetic predi…
-
I've got a pretty standard setup with adding a new data point each loop, but every time i run it, when i get to the 8192nd adding of a point, i get a segmentation fault. The line `abs(point[i]-leaf_p…
-
Not a fully-baked feature request, just a directional hunch. I've found the conclusions from this paper [Sampling Matters in Deep Embedding Learning](https://arxiv.org/abs/1706.07567) pretty intuitive…
-
-
Hello again!
While I'm waiting to hear back from folks regarding the compatibility of TFLearn with scikit-learn's cross validation tools [(Issue #965)](https://github.com/tflearn/tflearn/issues/965…
bwllc updated
5 years ago
-
老师您好,在我测试您的代码的时候根据readme更换评价指标的时候,是否只需要更改hungarian_matching.py的判断语句:
for i in range(prediction_len):
for j in range(gt_len):
# if EA_metric(p_lines[i], g_lines[j]) >= thresh…
-
the shape of pred_probs is (351133, 1522), the shape of embedding is (351133, 45812)
the code snippet is below:
`lab = Datalab(data_for_train, label_name="vps")`
`lab.find_issues(pred_probs=pred_…
-
Nearest neighbour algorithms are an item in the roadmap. They're helpful in clustering algorithms, particularly DBSCAN. There are a number of existing implementations of advanced nearest neighbour alg…