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Xiaojian tang classifier1 translation #246
Xiaojian tang classifier1 translation #246
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校对了一半,出现比较多的错误,建议仔细检查一下重新提交噢
import numpy as np | ||
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1. 接下来需要将数据分为训练模型所需的X(译者注:代表特征数据)和y(译者注:代表标签数据)两个dataframe。首先可将`cuisine`列的数据单独保存为的一个dataframe作为标签(label)。 |
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有待进一步讨论
建议翻译前先参阅这个讨论组: |
@mattholy does this look ok now? thanks! |
That's pretty good now |
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你将使用这份数据集,并通过多种分类器 在给出了各种配料后预测这是那一个国家的菜品。在此过程中,你将学到更多能够用来调试分类任务算法的方法。
->
你将使用此数据集和各种分类器,根据一组配料预测这是哪一国家的美食。在此过程中,你将学到更多用来权衡分类任务算法的方法。
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../1-Introduction/README.md
->
../../1-Introduction/translations/README.zh-cn.md
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| almond | angelica | anise | anise_seed | apple | apple_brandy | apricot | armagnac | artemisia | artichoke | ... | whiskey | white_bread | white_wine | whole_grain_wheat_flour | wine | wood | yam | yeast | yogurt | zucchini | |
->
| | almond | angelica | anise | anise_seed | apple | apple_brandy | apricot | armagnac | artemisia | artichoke | ... | whiskey | white_bread | white_wine | whole_grain_wheat_flour | wine | wood | yam | yeast | yogurt | zucchini |
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| | 0 | | | | | | | | | | | | | | | | | | | | |
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| | 0 |
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| precision | recall | f1-score | support | | | | | | | | | | | | | | | | | | |
->
| | precision | recall | f1-score | support |
Update Introdcution Translation Link and Tabels Format Correction
@feiyun0112 都改好了 |
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ok
thank you, merging! |
Simplified Chinese Translation