Feat/regression#231

Merged

cristian-tamblay merged 50 commits intodevelopfrom

feat/regression

Jan 13, 2025

Commits on May 30, 2024

Commits on Jun 4, 2024

Commits on Jun 11, 2024

Added RandomForestRegression.json file in /models/parameters, the file contains the parameters of RandomForestRegression
javieraLabrin
committed
Add RandomForestRegression model implementation
javieraLabrin
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The random forest regression model was imported into the __init__.py of models
javieraLabrin
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The random forest regression model was imported into contiainers.py
javieraLabrin
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Added the gradient_boosting_regression.py file containing the Gradient Boosting Regressor model.
javieraLabrin
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Imported the Gradient Boosting regression model in contiainers.py and in the __init__.py from models
javieraLabrin
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Added the GradientBoostingR.json file containing the Gradient Boosting Regression parameters
javieraLabrin
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Refactor random forest regression import to use sklearn.ensemble module
javieraLabrin
committed

Commits on Jun 18, 2024

Commits on Jun 19, 2024

Commits on Jul 9, 2024

MLPRegressor model is added, with all its imports and parameters
javieraLabrin
committed

Commits on Jul 23, 2024

Commits on Jul 29, 2024

Commits on Oct 5, 2024

Commits on Oct 9, 2024

fix: ruff errors fixed
Lucas-CE
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Commits on Dec 3, 2024

Merge branch 'develop' into feat/regression
Lucas-CE
committed

Commits on Jan 13, 2025

Reverted some changes that made only regressions work. We need cesar change in the front to allow different metrics so regression sues RMSE instead of accuracy
cristian-tamblay
committed