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The bundle file is available in the agent artifact in the workflow run linked above.
To create a pull request with the changes:
# Download the artifact from the workflow run
gh run download 25737555375 -n agent -D /tmp/agent-25737555375
# Fetch the bundle into a local branch
git fetch /tmp/agent-25737555375/aw-autoloop-build-tsikit-learn-scikit-learn-typescript-migration.bundle refs/heads/autoloop/build-tsikit-learn-scikit-learn-typescript-migration:refs/heads/autoloop/build-tsikit-learn-scikit-learn-typescript-migration
git checkout autoloop/build-tsikit-learn-scikit-learn-typescript-migration
# Push the branch to origin
git push origin autoloop/build-tsikit-learn-scikit-learn-typescript-migration
# Create the pull request
gh pr create --title '[Autoloop: build-tsikit-learn-scikit-learn-typescript-migration]' --base main --head autoloop/build-tsikit-learn-scikit-learn-typescript-migration --repo githubnext/tsikit-learn
π€ This PR is maintained by Autoloop. Each accepted iteration adds a commit to this branch.
tsikit-learn β scikit-learn TypeScript Migration
Program: Build tsikit-learn: scikit-learn β TypeScript migration (Issue #5)
Best Metric: 15
sklearn_features_portedWhat's been implemented so far
Phase 1 β Foundation:
exceptionsβ NotFittedError, ConvergenceWarning, ValueErrorbaseβ BaseEstimator, ClassifierMixin, RegressorMixin, TransformerMixin, ClusterMixinutils/extmathβ safeDot, gramMatrix, cholesky, rowNorms, matMul, transposeutils/validationβ checkArray, checkXy, checkFeaturesConsistencyutils/multiclassβ typeOfTarget, uniqueLabels, classCountutils/class_weightβ computeClassWeight, computeSampleWeightPhase 2 β Preprocessing & Metrics:
preprocessing/StandardScalerβ Welford online mean/variancepreprocessing/MinMaxScalerβ feature_range scalingpreprocessing/LabelEncoderβ label encoding/decodingpreprocessing/Normalizerβ L1/L2/max normalizationmetrics/regressionβ MSE, MAE, R2, MAPE, explained_variancemetrics/classificationβ accuracy, confusion_matrix, precision, recall, F1, log_lossmodel_selectionβ train_test_split, KFold, StratifiedKFoldPhase 3 (new this iteration):
linear_model/LinearRegressionβ OLS via Cholesky decomposition (normal equations)linear_model/Ridgeβ L2-regularized least squaresInfrastructure
Note
This was originally intended as a pull request, but the git push operation failed.
Workflow Run: View run details and download bundle artifact
The bundle file is available in the
agentartifact in the workflow run linked above.To create a pull request with the changes: