Language model | Weixin public doc

# Language model

This interface, from the plug-in 1.1.3 Start Support

Word-based language model. The input is a sentence and the output is the probability of each word in the sentence. Examples: Input: Weather in Shanghai Output: 6.66271953 e-05, 0.00470699137, 0.0291203912, 0.0323233753, 0.599718213

# to initialize

Plugin version number in the document, only for example reference, the latest version of the plugin,Subject to this

{
  "pages": [
    "pages/index/index"
  ],
  "plugins": {
    "chatbot": {
      "version": "1.2.23",
      "provider": "wx8c631f7e9f2465e1"
    }
  },
  "requiredBackgroundModes": [
    "audio"
  ],
  "sitemapLocation": "sitemap.json"
}

var plugin = requirePlugin("chatbot")

App({
	onLaunch: function () {
		plugin.init({
			appid: "P5Ot9PHJDechCYqDFAW1AiK6OtG3Ja", //Mini Program sample account, for learning and reference only
			openid: "", //User's openid, not required, it is recommended to pass this parameter
			success: () => {}, //Not required
			fail: (error) => {}, //Not required
		})
	},
})

# Call interface

const txt = "Weather in Shanghai"

plugin.api.lm(txt).then((nothing) => {
	console.log("lm result : ", nothing)
})

# Request parameters:

field	type	describe
txt	string	初始值 Encoding, with a maximum length of 1024 The word

# Return to Results

{
	"predictions": [
		{
			"tokens": ["<s>", "up," The sea, "of," "God," "Gas"],
			"probs": [
				0.0000666271953,
				0.00470699137,
				0.0291203912,
				0.0323233753,
				0.599718213
			]
		}
	]
}

# Return value:

field	type	describe
probs	Array	Probability of each word