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Tuning > Search Optimization

Intended audience: DATA SCIENTISTS DEVELOPERS ADMINISTRATORS

AO Platform: 4.3

Overview

Properties

Label

Description

Hyperparameter Optimization *

Options: GridSearchCV, RandomizedSearchCV, AppOrchidCV

Scoring Type *

Options: Precision, Recall, F1 Score, Accuracy Score

SEARCH OPTIMIZATION PARAMETERS

Data Properties

  • n_jobs

  • verbose

  • return_train_score

  • estimator

  • refit

  • date_range

  • parameter_name1

  • parameter_name2

(*) Mandatory properties

With this page and all previous configuration pages configured, it’s now time to Train the Models included, using the ML Algorithms, - see Training a Model.


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