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Legend |
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DVC Managed File |
Git Managed File |
Metric |
Stage File |
External File |
Legend |
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DVC Managed File |
Git Managed File |
Metric |
Stage File |
External File |
After completing this repository, you will be able to understand the following concepts:
A free tier is enough for this use case. Below are the properties of the EC2 instance used for the use case.
requirements.txt
fileDagsHub provides the capabilities to use MLFlow and DVC while giving the choice of working on Github. The following results are the experiments from DagsHub, using MLFlow to track the model F1-Score
, Precision
and Recall
.
The following graphics shows the performances of the models for different epochs.
⚠️ Beware that the wall time for 1 epochs training is 2h45 minutes. So might expect the double for two epochs.
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