Comments (2)
Hi, @Germany2010, the zerconf is not necessarily targeted at total beginners. Please see the disclaimer in the LICENSE.txt It is offered completely AS IS. As you can see in the LICENSE.txt
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED
You are expected to master Python and know your data (structures).
Having said that, as you correctly quote HDF5 is used just for convenience. Please check whether you could load your data as a dataframe with your own code instead and use it directly substituting this line
autosklearn-zeroconf/bin/zeroconf.py
Line 117 in bf431d3
from autosklearn-zeroconf.
@Motorrat thank you very much for the reply. It's pretty clear now.
p.s.
"beginers" here means the new users for this nice model^^ The model is really nice and powerful. Thank you for the contribution.
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Related Issues (11)
- base directory in standard.yml HOT 1
- Add csv as a source data format
- upgrade to auto-sklearn 3.0 HOT 1
- Graph in the README should be a scatter plot. HOT 1
- upstream issue: predict method fails after refit HOT 2
- Add benchmarks
- auto-sklearn 0.2.0 api changes - precision metrics
- auto-sklearn 0.2.0 api changes SimpleClassificationPipeline has no pre_transform method
- DeprecationWarning sklearn.cross_validation.train_test_split HOT 2
- SyntaxError: invalid syntax in d2khelper.py HOT 4
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