Avik Basu
Avik Basu
Currently, the config factory imports are not lazy, and all of classes get imported. This should ideally be a lazy import, where classes are imported on a need basis. ---...
When trying to run from local using a different device than `cpu`, we get the following error: ``` Ran 1 test in 0.375s FAILED (errors=1) ErrorTraceback (most recent call last):...
# Summary We need to validate convolutional autoencoder input, and give out a readable error message if an error is encountered. --- **Message from the maintainers**: If you wish to...
Currently the `StreamDataset` class does not support multi worker data loading. Doing this should improve training time. --- **Message from the maintainers**: If you wish to see this enhancement implemented...
# Summary Early stopping can help reduce overfitting of the models, and an automated way of doing that will be really helpful. --- **Message from the maintainers**: If you wish...
# Summary Give users the ability to train only during a specified time range. # Use Cases Sometimes, users would like to perform training during non peak hours. They could...
# Summary Support detecting data drift in training vs real-time data, automatically using statistical methods to start with. # Use Cases Data drift is natural, and can help determine when...
Thresholding techniques can vary from basic ones like mean + std thresholding, median based methods to more complex ones. Decoupling the threshold calculation from Autoencoder models can provide more flexibility.
Changes to code and numalogic-python can cause numalogic examples to potentially break. Need to make sure that the examples run as expected. Can be done either as a part of...
# Summary Local file based registry by overloading the base ArtifactManager class. # Use Cases Will be useful in testing out the registry saving/loading pattern for quick start guides. ---...