机器学习实体Machine-learning entity

机器学习实体是用于生成 LUIS 应用程序的首选实体。The machine-learning entity is the preferred entity for building LUIS applications.

示例 JSONExample JSON

假设应用接受披萨订单,例如可分解实体教程Suppose the app takes pizza orders, such as the decomposable entity tutorial. 每个订单可以包括多个不同的披萨,其中包括不同的尺寸。Each order can include several different pizzas, including different sizes.

话语示例包括:Example utterances include:

适用于比萨饼应用的示例言语Example utterances for pizza app
Can I get a pepperoni pizza and a can of coke please
can I get a small pizza with onions peppers and olives
pickup an extra large meat lovers pizza

因为机器学习实体可以拥有许多具有必需功能的子实体,所以这仅是示例。Because a machine-learning entity can have many subentities with required features, this is just an example only. 它应被视为实体将返回哪些内容的指南。It should be considered a guide for what your entity will return.

考虑以下查询:Consider the query:

deliver 1 large cheese pizza on thin crust and 2 medium pepperoni pizzas on deep dish crust

如果在查询字符串中设置了 verbose=false,则这是 JSON:This is the JSON if verbose=false is set in the query string:

"entities": {
    "Order": [
        {
            "FullPizzaWithModifiers": [
                {
                    "PizzaType": [
                        "cheese pizza"
                    ],
                    "Size": [
                        [
                            "Large"
                        ]
                    ],
                    "Quantity": [
                        1
                    ]
                },
                {
                    "PizzaType": [
                        "pepperoni pizzas"
                    ],
                    "Size": [
                        [
                            "Medium"
                        ]
                    ],
                    "Quantity": [
                        2
                    ],
                    "Crust": [
                        [
                            "Deep Dish"
                        ]
                    ]
                }
            ]
        }
    ],
    "ToppingList": [
        [
            "Cheese"
        ],
        [
            "Pepperoni"
        ]
    ],
    "CrustList": [
        [
            "Thin"
        ]
    ]
}

如果在查询字符串中设置了 verbose=true,则这是 JSON:This is the JSON if verbose=true is set in the query string:

"entities": {
    "Order": [
        {
            "FullPizzaWithModifiers": [
                {
                    "PizzaType": [
                        "cheese pizza"
                    ],
                    "Size": [
                        [
                            "Large"
                        ]
                    ],
                    "Quantity": [
                        1
                    ],
                    "$instance": {
                        "PizzaType": [
                            {
                                "type": "PizzaType",
                                "text": "cheese pizza",
                                "startIndex": 16,
                                "length": 12,
                                "score": 0.999998868,
                                "modelTypeId": 1,
                                "modelType": "Entity Extractor",
                                "recognitionSources": [
                                    "model"
                                ]
                            }
                        ],
                        "Size": [
                            {
                                "type": "SizeList",
                                "text": "large",
                                "startIndex": 10,
                                "length": 5,
                                "score": 0.998720646,
                                "modelTypeId": 1,
                                "modelType": "Entity Extractor",
                                "recognitionSources": [
                                    "model"
                                ]
                            }
                        ],
                        "Quantity": [
                            {
                                "type": "builtin.number",
                                "text": "1",
                                "startIndex": 8,
                                "length": 1,
                                "score": 0.999878645,
                                "modelTypeId": 1,
                                "modelType": "Entity Extractor",
                                "recognitionSources": [
                                    "model"
                                ]
                            }
                        ]
                    }
                },
                {
                    "PizzaType": [
                        "pepperoni pizzas"
                    ],
                    "Size": [
                        [
                            "Medium"
                        ]
                    ],
                    "Quantity": [
                        2
                    ],
                    "Crust": [
                        [
                            "Deep Dish"
                        ]
                    ],
                    "$instance": {
                        "PizzaType": [
                            {
                                "type": "PizzaType",
                                "text": "pepperoni pizzas",
                                "startIndex": 56,
                                "length": 16,
                                "score": 0.999987066,
                                "modelTypeId": 1,
                                "modelType": "Entity Extractor",
                                "recognitionSources": [
                                    "model"
                                ]
                            }
                        ],
                        "Size": [
                            {
                                "type": "SizeList",
                                "text": "medium",
                                "startIndex": 49,
                                "length": 6,
                                "score": 0.999841452,
                                "modelTypeId": 1,
                                "modelType": "Entity Extractor",
                                "recognitionSources": [
                                    "model"
                                ]
                            }
                        ],
                        "Quantity": [
                            {
                                "type": "builtin.number",
                                "text": "2",
                                "startIndex": 47,
                                "length": 1,
                                "score": 0.9996054,
                                "modelTypeId": 1,
                                "modelType": "Entity Extractor",
                                "recognitionSources": [
                                    "model"
                                ]
                            }
                        ],
                        "Crust": [
                            {
                                "type": "CrustList",
                                "text": "deep dish crust",
                                "startIndex": 76,
                                "length": 15,
                                "score": 0.761551,
                                "modelTypeId": 1,
                                "modelType": "Entity Extractor",
                                "recognitionSources": [
                                    "model"
                                ]
                            }
                        ]
                    }
                }
            ],
            "$instance": {
                "FullPizzaWithModifiers": [
                    {
                        "type": "FullPizzaWithModifiers",
                        "text": "1 large cheese pizza on thin crust",
                        "startIndex": 8,
                        "length": 34,
                        "score": 0.616001546,
                        "modelTypeId": 1,
                        "modelType": "Entity Extractor",
                        "recognitionSources": [
                            "model"
                        ]
                    },
                    {
                        "type": "FullPizzaWithModifiers",
                        "text": "2 medium pepperoni pizzas on deep dish crust",
                        "startIndex": 47,
                        "length": 44,
                        "score": 0.7395033,
                        "modelTypeId": 1,
                        "modelType": "Entity Extractor",
                        "recognitionSources": [
                            "model"
                        ]
                    }
                ]
            }
        }
    ],
    "ToppingList": [
        [
            "Cheese"
        ],
        [
            "Pepperoni"
        ]
    ],
    "CrustList": [
        [
            "Thin"
        ]
    ],
    "$instance": {
        "Order": [
            {
                "type": "Order",
                "text": "1 large cheese pizza on thin crust and 2 medium pepperoni pizzas on deep dish crust",
                "startIndex": 8,
                "length": 83,
                "score": 0.6881274,
                "modelTypeId": 1,
                "modelType": "Entity Extractor",
                "recognitionSources": [
                    "model"
                ]
            }
        ],
        "ToppingList": [
            {
                "type": "ToppingList",
                "text": "cheese",
                "startIndex": 16,
                "length": 6,
                "modelTypeId": 5,
                "modelType": "List Entity Extractor",
                "recognitionSources": [
                    "model"
                ]
            },
            {
                "type": "ToppingList",
                "text": "pepperoni",
                "startIndex": 56,
                "length": 9,
                "modelTypeId": 5,
                "modelType": "List Entity Extractor",
                "recognitionSources": [
                    "model"
                ]
            }
        ],
        "CrustList": [
            {
                "type": "CrustList",
                "text": "thin crust",
                "startIndex": 32,
                "length": 10,
                "modelTypeId": 5,
                "modelType": "List Entity Extractor",
                "recognitionSources": [
                    "model"
                ]
            }
        ]
    }
}

后续步骤Next steps

了解有关机器学习实体的详细信息,包括教程概念操作指南Learn more about the machine-learning entity including a tutorial, concepts, and how-to guide.

了解列表实体和正则表达式实体。Learn about the list entity and regular expression entity.