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Updated doc workflows Python Package Unit Tests #405: Pull request #180 opened by andrewherren
6m 16s document-new-outcome-model
document-new-outcome-model
6m 16s
Merge pull request #179 from StochasticTree/make_rfx_parameters_flexible Python Package Unit Tests #404: Commit 6affae5 pushed by andrewherren
4m 22s main
main
4m 22s
Allow users to set random effects prior parameters in BART and BCF Python Package Unit Tests #403: Pull request #179 synchronize by andrewherren
4m 19s make_rfx_parameters_flexible
make_rfx_parameters_flexible
4m 19s
Allow users to set random effects prior parameters in BART and BCF Python Package Unit Tests #402: Pull request #179 opened by andrewherren
6m 14s make_rfx_parameters_flexible
make_rfx_parameters_flexible
6m 14s
Merge pull request #178 from StochasticTree/train-set-predicition-cac… Python Package Unit Tests #401: Commit 78cc4c6 pushed by andrewherren
4m 27s main
main
4m 27s
Initial BART refactor that avoids double predicting forests on the train dataset Python Package Unit Tests #400: Pull request #178 synchronize by andrewherren
4m 40s train-set-predicition-caching
train-set-predicition-caching
4m 40s
Initial BART refactor that avoids double predicting forests on the train dataset Python Package Unit Tests #399: Pull request #178 synchronize by andrewherren
4m 17s train-set-predicition-caching
train-set-predicition-caching
4m 17s
Initial BART refactor that avoids double predicting forests on the train dataset Python Package Unit Tests #398: Pull request #178 synchronize by andrewherren
4m 33s train-set-predicition-caching
train-set-predicition-caching
4m 33s
Initial BART refactor that avoids double predicting forests on the train dataset Python Package Unit Tests #397: Pull request #178 synchronize by andrewherren
2m 56s train-set-predicition-caching
train-set-predicition-caching
2m 56s
Initial BART refactor that avoids double predicting forests on the train dataset Python Package Unit Tests #396: Pull request #178 opened by andrewherren
3m 20s train-set-predicition-caching
train-set-predicition-caching
3m 20s
Merge pull request #177 from StochasticTree/docs-hotfix Python Package Unit Tests #395: Commit 33174a6 pushed by andrewherren
5m 38s main
main
5m 38s
Fix doc site Python Package Unit Tests #394: Pull request #177 opened by andrewherren
4m 46s docs-hotfix
docs-hotfix
4m 46s
Merge pull request #176 from StochasticTree/gfr-feature-subsampling Python Package Unit Tests #393: Commit 69e6d07 pushed by andrewherren
5m 4s main
main
5m 4s
Support probability-weighted feature subsampling in the GFR algorithm Python Package Unit Tests #392: Pull request #176 synchronize by andrewherren
7m 39s gfr-feature-subsampling
gfr-feature-subsampling
7m 39s
Support probability-weighted feature subsampling in the GFR algorithm Python Package Unit Tests #391: Pull request #176 synchronize by andrewherren
5m 31s gfr-feature-subsampling
gfr-feature-subsampling
5m 31s
Support probability-weighted feature subsampling in the GFR algorithm Python Package Unit Tests #390: Pull request #176 synchronize by andrewherren
4m 21s gfr-feature-subsampling
gfr-feature-subsampling
4m 21s
Support probability-weighted feature subsampling in the GFR algorithm Python Package Unit Tests #389: Pull request #176 synchronize by andrewherren
5m 9s gfr-feature-subsampling
gfr-feature-subsampling
5m 9s
Support probability-weighted feature subsampling in the GFR algorithm Python Package Unit Tests #388: Pull request #176 opened by andrewherren
4m 44s gfr-feature-subsampling
gfr-feature-subsampling
4m 44s
Merge pull request #175 from StochasticTree/restricted-sweep-hotfix Python Package Unit Tests #387: Commit 778c9f9 pushed by andrewherren
5m 29s main
main
5m 29s
Quick bug fix for the restricted sweep interface Python Package Unit Tests #386: Pull request #175 opened by andrewherren
6m 23s restricted-sweep-hotfix
restricted-sweep-hotfix
6m 23s
Merge pull request #174 from StochasticTree/kernel-hotfix Python Package Unit Tests #385: Commit 6998a6f pushed by andrewherren
3m 16s main
main
3m 16s
Handle BCF models with propensity covariates in the kernel prediction functions Python Package Unit Tests #384: Pull request #174 synchronize by andrewherren
4m 7s kernel-hotfix
kernel-hotfix
4m 7s
Handle BCF models with propensity covariates in the kernel prediction functions Python Package Unit Tests #383: Pull request #174 synchronize by andrewherren
4m 19s kernel-hotfix
kernel-hotfix
4m 19s
Handle BCF models with propensity covariates in the kernel prediction functions Python Package Unit Tests #382: Pull request #174 synchronize by andrewherren
5m 11s kernel-hotfix
kernel-hotfix
5m 11s
Handle BCF models with propensity covariates in the kernel prediction functions Python Package Unit Tests #381: Pull request #174 opened by andrewherren
4m 10s kernel-hotfix
kernel-hotfix
4m 10s