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Distribution transparent Machine Learning experiments on Apache Spark
--------------------------------------------------------------------------- TypeError Traceback (most recent call last) in ----> 1 result = experiment.lagom(embeddings_computer, 2 searchspace=sp, 3 optimizer='randomsearch', 4 direction='max', 5 num_trials=2, TypeError: lagom() got an unexpected keyword argument 'searchspace'
pip install the latest version of maggy(version1.1.0), and run a simple maggy example and it is not working. import maggy from maggy import experiment ... result = experiment.lagom(train_fn=training_fn, name='MNIST') returns...
I have can install maggy on my PySpark cluster from pip but whenever I issue this command `from maggy.experiment_config import OptimizationConfig` I get the error `ModuleNotFoundError: No module named 'maggy.experiment_config'`....
Hi, I've just found this library and it seems great, but wanted to quickly double-check if it's applicable to my use case. Namely, I have a large amount of tabular...
As per https://github.com/logicalclocks/maggy/blob/master/maggy/ablation/ablationstudy.py , we need to write a custom function for the dataset generator to make AblationStudy to work on databricks.
I was wondering how Maggy knows **Question 1:** How to contact Spark's driver to make the RPC calls in another Spark infrastructure that is not Hopsworks. Does having a resource...
Adds support for ablation of modules wrapped between concatenation (mixed) layers, e.g., Inception modules. Refactors the `loco` ablator by moving most of the model and dataset manipulation code to the...