Comments (2)
Added tests for FTRL, FM, SGD, OneHotEncoder, LabelEncoder, AutoLGB, ClassificationTree to tests/
.
from kaggler.
I added your profiling code for FTRL
to the test
directory. Will add more test later.
from kaggler.
Related Issues (20)
- Use pylint HOT 1
- Apply improvements in FTRL to other algorithms HOT 2
- Add examples for modules other than online_model
- API interface modified
- pip install on ubuntu 16.04 HOT 4
- Lacks support for numerical features
- macos pip install failure HOT 5
- potential data leakage in TargetEncoder HOT 3
- ERROR: Command errored out with exit status 1 HOT 1
- ValueError: For early stopping, at least one dataset and eval metric is required for evaluation HOT 3
- AutoLGB: need to throw an error when metric is not available.
- Set embedding layer to n_uniq + 1 HOT 7
- LabelEncoder Usage HOT 2
- DAE References and Performance HOT 2
- DAE/SDAE's `transform` changes the input dataframe
- AutoLGB tune is example is not working
- from kaggler.model import AutoLGB does not work HOT 1
- Development
- ERROR: Could not build wheels for kaggler
- Columns and DataType Not Explicitly Set on line 13 of test_ohe.py
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