Comments (2)
Working on it, but it seems we will have to reorganize our classes for this. Because crossValidator requires evaluator and pipeline as input simultaneously. We have created separate two methods for both.
from einstein.
The cross validation step is added for all the models.
from einstein.
Related Issues (15)
- Created a Base Class which can be used in all regression models. HOT 1
- need a parameter model to return a dictionary also HOT 2
- Dataset for models HOT 1
- Metrics to track model performance HOT 3
- Continuous integration HOT 13
- Class/Variable names HOT 1
- GCP Initialization Action HOT 6
- defining pipelines HOT 6
- Whether `Model` class in base.py should remain abstract or not HOT 4
- Lock on 'develop' branch HOT 6
- Encryption of the csv file for data security HOT 3
- Error while testing HOT 9
- Unit tests for models HOT 2
- PVLib ForecastModel class HOT 2
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from einstein.