Angel-ML / Angel-ML/PyTorch-On-Angel

[ASK] Issue ingesting libffm format for xDeepFM

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Description

I'm currently attempting to train xDeepFM using the libffm format.
I noticed in the code that load_svmlight_file from sklearn is used to load the text file.
While load_svmlight_file works well for to load data in the libsvm format -

**label feature1:value1 feature2:value2**

With the libffm format

**label field1:feature1:value1 field2:feature2:value2**

I get the error

**ValueError: could not convert string to float: b'0:0.11545'**

Since load_svmlight_file ultimately converts to a sparse matrix, I can also convert my data directly to a sparse matrix. However, while it is obvious what the libsvm format would look like in matrix format, it isn't obvious what the libffm format would look like.

Has anyone successfully trained a xDeepFM using this repo? Please help!

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