+
+
+ Choose a template to use for rendering. Options include 'multimodel' for running multiple models, 'arfi' for ARFI configurations, 'basic', or 'prior'.
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+
+
+
+ Specify the path to the dataset folder containing your input data.
+
+
+
+
+ Specify the output folder where the project files will be saved. If the data folder is not in the project-folder, a new data folder will be created and the data will be copied.
+
+
+
+
+ Specify the name of the file for managing jobs. By default, this is 'jobs.bat' on Windows and 'jobs.sh' on other platforms.
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+
+
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+ Provide the file path to a custom template for rendering, if needed.
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+
+
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+ Select the platform to render jobs for (e.g., Windows, macOS, Linux). If not selected, the current platform will be used by default.
+
+
+
+
+ Set the seed for the random selection of priors. This helps ensure reproducibility of the starting set of papers.
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+ Set the seed for the models to control the random number generation used after initialization. Ensures reproducibility.
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+
+
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+ Set the number of simulation runs to execute. Each run will simulate the same setup with random variations.
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+
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+ The number of records to label before retraining the model. Increasing this value can significantly speed up the simulation.
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+ Skip the generation of dataset wordclouds.
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+ Allow the automatic overwriting of old makita files.
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+
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+
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+ Specify when to stop simulating label actions. Use 'min' to stop when all relevant records are found.
+ Set -1 to simulate all label actions. Any positive number represents the number of retrainings of the model.
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+
+
+
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+ For ARFI templates, set the number of prior records to include. Defaults to 10.
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+
+
Multi-Model Configurations
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+
+
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+
+
+
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+
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+ Disable the balance strategy for multi-model configurations.
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+ Certain combinations of classifiers and feature extractors do not work in conjunction. Specifying them here will exclude them from the simulations.
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+
Model Configuration
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+
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+
+
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+
+
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+ Disable the balance strategy for single-model configurations.
+