gpu
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Dec 4, 2020 - Jupyter Notebook
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At this moment relu_layer op doesn't allow threshold configuration, and legacy RELU op allows that.
We should add configuration option to relu_layer.
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Problem:
catboost version: 0.23.2
Operating System: all
Tutorial: https://github.com/catboost/tutorials/blob/master/custom_loss/custom_metric_tutorial.md
Impossible to use custom metric (С++).
Code example
from catboost import CatBoost
train_data = [[1, 4, 5, 6],
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Hi ,
I have tried out both loss.backward() and model_engine.backward(loss) for my code. There are several subtle differences that I have observed , for one retain_graph = True does not work for model_engine.backward(loss) . This is creating a problem since buffers are not being retained every time I run the code for some reason.
Please look into this if you could.
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Dec 6, 2020 - C++
Is your feature request related to a problem? Please describe.
from time series analysis, need to support spearman correlation matrix calculation in cuDF
Describe the solution you'd like
similar like pandas.DataFrame().corr(method='spearman')
Additional context
is it possible to let me know this feature adding roadmap? big thanks !
Current implementation of join can be improved by performing the operation in a single call to the backend kernel instead of multiple calls.
This is a fairly easy kernel and may be a good issue for someone getting to know CUDA/ArrayFire internals. Ping me if you want additional info.
We would like to forward a particular 'key' column which is part of the features to appear alongside the predictions - this is to be able to identify to which set of features a particular prediction belongs to. Here is an example of predictions output using the tensorflow.contrib.estimator.multi_class_head:
{"classes": ["0", "1", "2", "3", "4", "5", "6", "7", "8", "9"],
"scores": [0.068196
Names map
and input
are exchanged mistakenly. By sense of Preconditions
paragraph they have to be exchanged I suppose, because there is no problem when map
and result
coincide (in current context).
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Dec 5, 2020 - CMake
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As discussed here, calling
kthvalue
liketorch.kthvalue(a, k, out=(a, indices))
produces a buffer overflow. Natalia suggested disallowing outputs that overlap with the input.cc @VitalyFedyunin