danfo.LabelEncoder
Encode target labels with value between 0 and n_classes-1.
class danfo.LabelEncoder
danfo.js provides the LabelEncoder class for encoding Series and Arrays to integer between 0 and n_classes -1. This is mostly used as a preprocessing step before most machine learning tasks.
Examples
Label Encode values in a Series
Node
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const dfd = require('danfojs-node')
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let data = ["dog","cat","man","dog","cat","man","man","cat"]
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let series = new dfd.Series(data)
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let encode = new dfd.LabelEncoder()
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encode.fit(series)
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console.log(encode);
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let sf_enc = encode.transform(series.values)
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console.log(sf_enc)
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let new_sf = encode.transform(["dog","man"])
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console.log(new_sf)
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Output
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LabelEncoder { '$labels': { dog: 0, cat: 1, man: 2 } }
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[
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0, 1, 2, 0,
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1, 2, 2, 1
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]
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[ 0, 2 ]
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Labels not found in the original data used for fitting are represented with -1
Node
Browser
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const dfd = require("danfojs-node")
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let data = { fruits: ['pear', 'mango', "pawpaw", "mango", "bean"] ,
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Count: [20, 30, 89, 12, 30],
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Country: ["NG", "NG", "GH", "RU", "RU"]}
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let df = new dfd.DataFrame(data)
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let encode = new dfd.LabelEncoder()
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encode.fit(df['fruits'])
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console.log(encode);
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let sf_enc = encode.transform(df['fruits'].values)
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console.log(sf_enc);
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let new_sf = encode.transform(["mango","mane"])
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console.log(new_sf);
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Output
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LabelEncoder { '$labels': { pear: 0, mango: 1, pawpaw: 2, bean: 3 } }
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[ 0, 1, 2, 1, 3 ]
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[ 1, -1 ]
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Last modified 3mo ago
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