Windows 10 Machine Learning Model
Schema for Windows ML machine learning models and evaluation results as defined by the Windows.AI.MachineLearning namespace. Covers LearningModel, LearningModelSession, LearningModelBinding, feature descriptors, and evaluation results.
Properties
| Name | Type | Description |
|---|---|---|
| name | string | Model name from ONNX metadata |
| author | string | Model author |
| domain | string | Model domain (e.g., image classification, NLP) |
| description | string | Model description |
| version | integer | Model version number |
| inputFeatures | array | Input feature descriptors |
| outputFeatures | array | Output feature descriptors |
| metadata | object | Custom metadata key-value pairs from the ONNX model |
JSON Schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "https://developer.microsoft.com/schemas/windows-10/ml-model.json",
"title": "Windows 10 Machine Learning Model",
"description": "Schema for Windows ML machine learning models and evaluation results as defined by the Windows.AI.MachineLearning namespace. Covers LearningModel, LearningModelSession, LearningModelBinding, feature descriptors, and evaluation results.",
"type": "object",
"properties": {
"name": {
"type": "string",
"description": "Model name from ONNX metadata"
},
"author": {
"type": "string",
"description": "Model author"
},
"domain": {
"type": "string",
"description": "Model domain (e.g., image classification, NLP)"
},
"description": {
"type": "string",
"description": "Model description"
},
"version": {
"type": "integer",
"description": "Model version number"
},
"inputFeatures": {
"type": "array",
"items": {
"$ref": "#/$defs/FeatureDescriptor"
},
"description": "Input feature descriptors"
},
"outputFeatures": {
"type": "array",
"items": {
"$ref": "#/$defs/FeatureDescriptor"
},
"description": "Output feature descriptors"
},
"metadata": {
"type": "object",
"additionalProperties": {
"type": "string"
},
"description": "Custom metadata key-value pairs from the ONNX model"
}
},
"required": ["name", "inputFeatures", "outputFeatures"],
"$defs": {
"FeatureDescriptor": {
"type": "object",
"description": "Describes an input or output feature of a model (ILearningModelFeatureDescriptor)",
"properties": {
"name": {
"type": "string",
"description": "Feature name"
},
"description": {
"type": "string",
"description": "Feature description"
},
"kind": {
"type": "string",
"enum": ["Tensor", "Sequence", "Map", "Image"],
"description": "Feature kind (LearningModelFeatureKind)"
},
"isRequired": {
"type": "boolean",
"description": "Whether the feature is required for evaluation"
},
"tensorDescriptor": {
"$ref": "#/$defs/TensorFeatureDescriptor"
},
"imageDescriptor": {
"$ref": "#/$defs/ImageFeatureDescriptor"
},
"mapDescriptor": {
"$ref": "#/$defs/MapFeatureDescriptor"
},
"sequenceDescriptor": {
"$ref": "#/$defs/SequenceFeatureDescriptor"
}
},
"required": ["name", "kind"]
},
"TensorFeatureDescriptor": {
"type": "object",
"description": "Descriptor for tensor features (TensorFeatureDescriptor class)",
"properties": {
"tensorKind": {
"type": "string",
"enum": [
"Undefined", "Float", "UInt8", "Int8", "UInt16", "Int16",
"Int32", "Int64", "String", "Boolean", "Float16", "Double",
"UInt32", "UInt64", "Complex64", "Complex128"
],
"description": "Tensor element data type (TensorKind)"
},
"shape": {
"type": "array",
"items": {
"type": "integer"
},
"description": "Tensor dimensions (-1 for variable dimensions)"
}
},
"required": ["tensorKind", "shape"]
},
"ImageFeatureDescriptor": {
"type": "object",
"description": "Descriptor for image features (ImageFeatureDescriptor class)",
"properties": {
"bitmapAlphaMode": {
"type": "string",
"enum": ["Premultiplied", "Straight", "Ignore"],
"description": "Alpha channel mode"
},
"bitmapPixelFormat": {
"type": "string",
"enum": ["Unknown", "Rgba16", "Rgba8", "Gray16", "Gray8", "Bgra8", "Nv12", "P010", "Yuy2"],
"description": "Pixel format"
},
"height": {
"type": "integer",
"description": "Image height in pixels"
},
"width": {
"type": "integer",
"description": "Image width in pixels"
}
},
"required": ["bitmapPixelFormat", "height", "width"]
},
"MapFeatureDescriptor": {
"type": "object",
"description": "Descriptor for map features (MapFeatureDescriptor class)",
"properties": {
"keyKind": {
"type": "string",
"enum": ["Float", "Int64", "String", "Double"],
"description": "Map key data type"
},
"valueDescriptor": {
"$ref": "#/$defs/FeatureDescriptor"
}
},
"required": ["keyKind"]
},
"SequenceFeatureDescriptor": {
"type": "object",
"description": "Descriptor for sequence features (SequenceFeatureDescriptor class)",
"properties": {
"elementDescriptor": {
"$ref": "#/$defs/FeatureDescriptor"
}
}
},
"EvaluationResult": {
"type": "object",
"description": "Result of a model evaluation (LearningModelEvaluationResult class)",
"properties": {
"correlationId": {
"type": "string",
"description": "Correlation identifier for tracking"
},
"errorStatus": {
"type": "integer",
"description": "Error status code (0 for success)"
},
"succeeded": {
"type": "boolean",
"description": "Whether evaluation succeeded"
},
"outputs": {
"type": "object",
"additionalProperties": true,
"description": "Map of output feature names to their values"
}
},
"required": ["succeeded"]
},
"LearningModelDevice": {
"type": "object",
"description": "Device used for model evaluation (LearningModelDevice class)",
"properties": {
"deviceKind": {
"type": "string",
"enum": ["Default", "Cpu", "DirectX", "DirectXHighPerformance", "DirectXMinPower"],
"description": "Device type (LearningModelDeviceKind)"
},
"adapterId": {
"type": "object",
"properties": {
"highPart": { "type": "integer" },
"lowPart": { "type": "integer" }
},
"description": "GPU adapter identifier (for DirectX devices)"
}
},
"required": ["deviceKind"]
}
}
}
Work with this as data
Every JSON Schema here is available over the APIs.io API and to AI agents over MCP.
MCP server
One button, every client — Claude, Cursor, VS Code and the rest.
https://apis.io/mcp
Tools for schemas
4 MCP tools reach this
find_json_schemasBrowse and filter every JSON Schema in the catalog.apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.resolveTurn a domain, URL or GitHub org into the provider it belongs to.find_cohortsEvery scored population of providers in the catalog.
Call it yourself
curl for this page
curl "https://apis.io/api/v1/json-schemas/microsoft-windows-10-ml-model"
curl "https://apis.io/api/v1/json-schemas?limit=25"
Discovery needs no key. Ratings and market analysis are Pro.
Get an API key
Free tier, no form to fill in. Signing in shares your email address with us — we store it to create your key and to recognise you if you sign in with another provider. See our Privacy Policy and Terms.
A second provider on the same verified email joins the account you already have.