MLBlocks
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MLBazaar
A library for composing end-to-end tunable machine learning pipelines.
Current save/load methods focus on dumping and loading the pipeline definition in its JSON form, but provide no means to save a fitted pipeline and load it later to make...
I have tried MLBlocks, MLPrimitives, Orion to train neural network models, but it seems like there is no way to add some custom operations, such as TensorBoard. BTW, I'm curious...
Current MLBlock does not support passing parameters that have not been declared in the primitive definition. This might be necessary in cases where the arguments expected by the primitive are...
This is a discussion issue as a followup #71 Should we natively support returning a class attribute value (or multiple) instead of calling a method of the class during the...
* MLBlocks version: 0.4 * Python version: 3.8 ### Description I'm trying to get metadata from an `MLPipeline` object that was present in the JSON pipeline annotation that was loaded....
That's it :)
### Description I was trying to construct a primitive for sklearn.model_selection.RandomizedSearchCV when I found that the hyperparameter for estimator is itself can be a primitive. ### What I Did To...
Some primitives require the user to provide some `init_params`, and at the moment the list of these required `init_params` is only available in the primitive specification. This can make using...
Sometimes it's needed to appended or merge the output of a primitive with its own input, or with some other variable. Two possibilities exist for this: * Add a way...