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- [ ] dataflow configurable sending and receiving
- [ ] git hooks
Related:
- https://github.com/intel/dffml/pull/1061#discussion_r819930461
- https://intel.github.io/dffml/main/examples/webhook/…
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Per the docs at
https://googleapis.dev/python/aiplatform/latest/aiplatform/services.html?#google.cloud.aiplatform.Model.batch_predict and https://googleapis.dev/python/aiplatform/latest/aiplatform.ht…
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In this issue you can either:
- **Add papers** that you think are interesting to read and discuss (please stick to the format).
- **vote**: should be done using :+1: on comments
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@tianyic Hi, when I tried OTO with the following case, oto.compress failed. Could you please give some advice?
```
import torch
import torch.nn as nn
from only_train_once import OTO
class D…
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This is another requirement nominated and briefly discussed in issue #3 , for the ability to insert inline metadata such as comment over a specific span of the message.
This is useful to clarify w…
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## Summary
FreeForm2 is a module that transforms original feature values according to the arithmetic and logic expressions specified by users. The transformed features will be used as inputs to the…
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{code:r}library("h2o")
packageVersion("h2o")
h2o.init()
iris_h2o = as.h2o(iris)
# this fails
h2o.gbm(
y = "Sepal.Length"
, training_frame = iris_h2o
, monotone_constraints = list("Sepal.Width"…
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How do you use the saved model? How do I get the transformations during the training for predictions later on?