Periwink
Periwink
Hi, How can I compute non-ranking metrics or univariate metrics, such as AUC, or recall? (i.e. computing metrics after unfurling the list of examples, similar to what is done in...
Hi, Thanks for the great library! I was trying to build a Keras model using the example in https://github.com/tensorflow/ranking/blob/master/tensorflow_ranking/examples/keras/keras_dnn_tfrecord.py. But I'm stuck at a preprocessing step. Let's say I have...
Some packages convert the dataframe type into other types that have a similar interface (modin/dask). This causes issues with sklearn-pandas, more specifically this function: https://github.com/scikit-learn-contrib/sklearn-pandas/blob/master/sklearn_pandas/dataframe_mapper.py#L311 I fixed this issue by...
See this code example: ``` >>> t = [[1]] >>> p = [[0]] >>> metrics.ndcg_score(t, p) Traceback (most recent call last): File "", line 1, in File "/Users/cbournhonesque/.pyenv/versions/bento/lib/python3.8/site-packages/sklearn/utils/validation.py", line 63,...
## What problem does this solve or what need does it fill? In my networking library I have frequent use for mapping Entities from the server-world to the client-world, and...
## What problem does this solve or what need does it fill? I was in a situation where I need to have: - access to an entity's `EntityRef` to get...
# Objective Fixes: https://github.com/bevyengine/bevy/issues/11549 Add a doctest example of what a custom implementation of an `EntityMapper` would look like. (need to wait until https://github.com/bevyengine/bevy/pull/11428 is merged)
Hi, Does kira_audio support having a single audio asset, but then having Audio handles that will read only parts of the audio file? (e.g. from 0.8sec to 1.5sec) This would...
I have another issue: - i have a pathfinding agent that is trying to find food - my scorer computes a score for 'find-food', and puts in an intermediate component...
We currently have the trait `ResetParams` for modules, and `Randomize` for tensors. I'm trying to see how we can make them more user-friendly, by having something similar to https://keras.io/api/layers/initializers/#randomnormal-class 1)...