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model-selection

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simon-mo
simon-mo commented Oct 27, 2021
(ServeController pid=12680) 2021-10-26 19:03:28,704     INFO backend_state.py:911 -- Adding 1 replicas to deployment 'hello'. component=serve deployment=hello
(ServeController pid=12680) 2021-10-26 19:03:28,704     ERROR controller.py:193 -- Exception updating backend state.
(ServeController pid=12680) Traceback (most recent call last):
(ServeController pid=12680)   File "/Users/simonmo/De
evalml
angela97lin
angela97lin commented Oct 6, 2021

Right now, component_graph.get_component expects a string which is the unique name used to find a component in the graph (ex: "My Label Encoder", and not "Label Encoder"). This makes it difficult to find components of a specific class, ex LabelEncoder instances. We should add a method to help with this!

API should take into consideration what happens if we have multiple of the same component

rodrigo-arenas
rodrigo-arenas commented Jun 22, 2021

Is your feature request related to a problem? Please describe.
NA

Describe the solution you'd like
Implement in the sklearn_genetic.plots module a function named plot_parallel_coordinates to inspect the results of the learning process

Describe alternatives you've considered
The function should take two arguments:

  • estimator: A fitted estimator from `sklearn_genetic.G
konst-int-i
konst-int-i commented Dec 17, 2020

Is your feature request related to a problem? Please describe.
Feature is not directly related to a problem, but is rather an enhancement of existing functionality. As suggested by Julian King on the facet Slack channel, we could add Maximum Relevance Minimum Redundancy (MRMR) as a feature selection algorithm.

The algorithm is explained in the following papers:
https://arxiv.org/pdf/1

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