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In version 0.23 of scikit-learn, the default behavior has changed to print only the parameters that differ from their default values in estimator classes. Although this customization emphasizes the modified parameters, users can still view all parameters via the 'get_params' method. To revert to the previous behavior, users can adjust the configuration option to print all parameters. This flexibility caters to different user preferences, whether prioritizing changes or transparency in parameter settings.
Version 0.23 now prints only non-default estimator parameters.
Modified parameters 'C' and 'solver' illustrate the new print behavior.
Use 'set_config' to revert to printing all classifier parameters.
The changes in scikit-learn's default print behavior reflect a significant shift toward user customization in AI software. Customizing outputs aligns with modern programming practices, promoting clarifying overloading in parameter settings, which can improve user experience considerably. Advanced users appreciate the flexibility of granular control that this version offers, allowing for clearer identification of essential parameters relevant to specific AI models.
This method allows users to access the complete set of parameters regardless of default settings.
It can toggle whether to display only changed parameters or all parameters.
Machine Learning with Phil 33month
Abhishek Thakur 50month
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