Below is the schema for the MultiMetaModel JSON file. This schema can be used to validate a MultiMetaModel setup file. A setup file can be validated using a JSON schema validator, such as https://www.jsonschemavalidator.net/. ```json { "$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "properties": { "multimodel": { "type": "boolean", "default": true, "description": "Whether or not to build a Multi-Model. If set to false, a Meta-Model will not be computed either." }, "metamodel": { "type": "boolean", "default": true, "description": "Whether to build a Meta-Model." }, "metric": { "type": "string", "description": "What metric to be analyzed from the computed files." }, "current_unit": { "type": "string", "default": "", "description": "The international system unit of the metric to be analyzed, without prefixes. e.g., 'W' for Watt is ok, 'kW' is not." }, "unit_scaling_magnitude": { "type": "integer", "default": 10, "enum": [-9, -6, -3, 1, 3, 6, 9], "description": "The scaling factor to be applied to the metric (10^-9, 10^-6, 10^3, 10^3, 10^6, 10^9). For no scaling, input 1." }, "seed": { "type": "integer", "default": 0, "minimum": 0, "description": "The seed of the simulation. This must correspond to the seed from the output folder (from seed=x)." }, "window_size": { "type": "integer", "default": 1, "minimum": 1, "description": "The size of the window, used for aggregating the chunks." }, "window_function": { "type": "string", "default": "mean", "enum": ["mean", "median"], "description": "The function used by the window for aggregating the chunks (e.g., for 'mean', the window will compute the mean of the samples)." }, "meta_function": { "type": "string", "default": "mean", "enum": ["mean", "median"], "description": "The function used by the Meta-Model to be generated. For 'mean', the Meta-Model takes the mean of the individual models, at the granularity established by the window-size." }, "samples_per_minute": { "type": "number", "minimum": 0.0001, "description": "The number of samples per minute, in the prediction data (simulator export rate). e.g., '0.2' means 1 sample every 5 minutes, '20' means 20 samples per minute, or 1 sample every 3 seconds." }, "plot_type": { "type": "string", "default": "time_series", "enum": ["time_series", "cumulative", "cumulative_time_series"], "description": "The type of the plot, generated by the Multi-Model and Meta-Model." }, "plot_title": { "type": "string", "default": "", "description": "The title of the plot." }, "x_label": { "type": "string", "default": "Time", "description": "The label for the x-axis of the plot." }, "y_label": { "type": "string", "default": "Metric Unit", "description": "The label for the y-axis of the plot." }, "y_min": { "type": "number", "description": "The minimum value for the vertical axis of the plot." }, "y_max": { "type": "number", "description": "The maximum value for the vertical axis of the plot." }, "x_min": { "type": "number", "description": "The minimum value for the horizontal axis of the plot." }, "x_max": { "type": "number", "description": "The maximum value for the horizontal axis of the plot." }, "x_ticks_count": { "type": "integer", "minimum": 1, "description": "The number of ticks on x-axis." }, "y_ticks_count": { "type": "integer", "minimum": 1, "description": "The number of ticks on y-axis." } }, "required": [ "metric" ] } ```