Register
Login
Resources
Docs Blog Datasets Glossary Case Studies Tutorials & Webinars
Product
Data Engine LLMs Platform Enterprise
Pricing Explore
Connect to our Discord channel
Commit History
Message Author SHA1 Date
Update requirements.txt   jnirschl 1 year ago
Update conda_env click prefix to conda-env   Jeff Nirschl 1 year ago
Remove set -eu from slurm_job.sh; Minor tweaks to logging. Successful run on Sherlock   Jeff Nirschl 1 year ago
Fix logging output   Jeff Nirschl 1 year ago
Fix bug of unexpected kwarg in click.argument (only click.option has help kwarg). Update docstring   Jeff Nirschl 1 year ago
Fix bug of unexpected kwarg in click.argument (only click.option has help kwarg). Update docstring   Jeff Nirschl 1 year ago
Update help in click args/options. Set default input_dir relative to create_slurm_job.py. Update logging   Jeff Nirschl 1 year ago
Add newline to logging to fix output   Jeff Nirschl 1 year ago
Update input_dir default, print SBATCH settings in logging if verbose   Jeff Nirschl 1 year ago
Add function to create slurm job submission file   Jeff Nirschl 1 year ago
Add conda env specification titanic_dvc.yml   Jeff Nirschl 1 year ago
metrics from dvc repro in Colab   Jeff 2 years ago
Update requirements.txt to dvc ~2.1.0   Jeff Nirschl 2 years ago
Merge branch 'master' of github.com:jnirschl/titanic_dvc   Jeff Nirschl 2 years ago
DVC repro from scratch on colab   Jeff 2 years ago
Update README.md   jnirschl 2 years ago
Update requirements.txt   jnirschl 2 years ago
Fix PyYAML vulnerability in versions < 5.4.   Jeff Nirschl 3 years ago
Update README.md to include code for getting started. Add setup.py   Jeff Nirschl 3 years ago
set param_tuning to optimize accuracy   Jeff Nirschl 3 years ago
Update feature engineering to bin/quantize the continuous features Age, Fare, and family_size.Update parameter tuning to allow hyperopt to optimize n_estimators for RF model. Also, change hyperopt.hp.choice to hyperopt.hp.quniform for sampling integer features from a uniform distribution. Previously, hp.quniform was returning float values when the RF model required integers. The workaround included adding the following to the objective function: param[key] = int(param[key])   Jeff Nirschl 3 years ago
Fix bug in replace_nan that removed imputation:method from params.yaml. Re-run DVC repro   Jeff Nirschl 3 years ago
imputation method mean   Jeff Nirschl 3 years ago
Fixed bug subfunction is_vip in build features. Re-run DVC pipeline. Re-added method-mean to params-imputation.   Jeff Nirschl 3 years ago
Parameter tuning with hyperopt for RF model with feature engineering.   Jeff Nirschl 3 years ago
Update script build_features.py to include 6 hand-crafted features such as family_size, is_orphan, is_single_mother etc. as well as polynomial transform features from sklearn.preprocessing. Re-run DVC repro successfully.   Jeff Nirschl 3 years ago
exp01_rf_hyperopt-acc: parameter tuning to optimize cross-validation accuracy instead of roc_auc   Jeff Nirschl 3 years ago
Set RF model in params. Re-run DVC   Jeff Nirschl 3 years ago
Merge pull request #5 from jnirschl/exp02_xgboost   jnirschl 3 years ago
Adding back the James-Stein estimator for predicting output. RF test predictions with JS estimator = 0.77. RF test predictions without the JS estimator = 0.76.   Jeff Nirschl 3 years ago