hyperparameter-optimization
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I'm using mxnet to do some work, but there is nothing when I search the mxnet trial and example.
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with the Power Transformer.
Motivation
optuna.visualization.plot_pareto_front could be further improved by
- aligning the color with
optuna.visualization.plot_optimization_history, such that the red/blue colors represent the best points or any other points in a consistent way - including a legend, again, similar to `optuna.visuali
Issue
I am getting a segmentation fault when running the following import statement
from autogluon.tabular import TabularPredictionand segmentation fault: 11 when running
from autogluon.text import TextPredictionI am using a recent branch of autogluon, installed in a clean virtual environment: autogluon version 0.0.16b20210120
Environment
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If enter_data() is called with the same train_path twice in a row and the data itself hasn't changed, a new Dataset does not need to be created.
We should add a column which stores some kind of hash of the actual data. When a Dataset would be created, if the metadata and data hash are exactly the same as an existing Dataset, nothing should be added to the ModelHub database and the existing
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Is your feature request related to a problem? Please describe.
https://stackoverflow.com/questions/64477316/how-to-implement-a-repository-for-lazy-data-loading-with-neuraxle/64850395#64850395
Describe the solution you'd like
I provided an answer on the StackOverflow question above.
Additional context
We should edit the page [here](https://www.neuraxle.org/stable/intro.html#r
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Jul 19, 2019
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