Save and load the bot detection model from modelforge

[src-d]

Save and load the bot detection model from modelforge

[warenlg]

Issue 1.

First pushing the model to modelforge failed with the following error message:

pkg_resources.VersionConflict: (semantic-version 2.8.2 (/home/waren/.local/lib/python3.6/site-packages), Requirement.parse('semantic-version<=2.6.0,>=2.3.1'))

The issue comes from asdf and is labelled with high-priority asdf-format/asdf#702.
A quick workaround is to downgrade semantic-version to version 2.6.0

[warenlg]

Issue 2.

After saving the model using the sklearn API behind XGBClassifier, if we load the model with load_model xgboost native function, we hit the following error when trying to predict() something:
AttributeError: 'XGBClassifier' object has no attribute '_le'

The issue has already been raised here and the xgboost maintainers recommend to save the model using pickle for sklearn models objects like XGBClasssifier dmlc/xgboost#3829

[warenlg]

Both issues above are overcome:

1. by bumping asdf to 2.4.2 in modelforge src-d/modelforge#107
2. by adding the line xgb_cls._le = LabelEncoder().fit([False, True]) in the code snippet example usage in src-d/models#28

[vmarkovtsev]

Shall we close then?

[warenlg]

It is waiting for src-d/models#28 merging

[warenlg]

src-d/models#28 is merged so we can close this.