Created
November 16, 2019 00:59
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Pandas DataFrame to tensorflow embedding projector .tsv
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| word_df.to_csv("words.tsv", sep="\t", header=False, index=False, quoting=csv.QUOTE_NONE, quotechar="", escapechar="\\") | |
| vec_df.to_csv("vectors.tsv", sep="\t", header=False, index=False, quoting=csv.QUOTE_NONE, quotechar="", escapechar="\\") |
@EbrahimKaram That's what the words.tsv file is for... row 0 of the words.tsv file is associated with row 0 of the vectors.tsv file, etc. The words.tsv file can just be a single column with your vector labels.
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Hey
Do you know any more details?
I know how to get my dataframe into a TSV but I'm not understanding how to get the labels into the data.
I don't know how to use the metadata option