Files
drift/.github/workflows/test.yml
T
Mark Aron Szulyovszky 9488e92597 feature(MetaLabeling): replaced previous non-functional Ensembling method with Meta-labeling method available for both lvl1 and lvl2 models (#110)
* feature(MetaLabeling): added hacky prototype

* fix(MetaLabeling): drop index until first valid X & y

* fix(MetaLabeling): transform both X & y before feature selection

* fix(MetaLabeling): got feature selection to work

* fix(MetaLabeling): correct values for meta_y

* feat(MetaLabeling): created predictions multiplied by bet sizes

* feat(Pipeline): print out averaged result

* fix(Evaluation): correctly deal with non-discretized data

* fix(Pipeline): use the right column names

* refactor(Pipeline): move out meta-labeling

* refactor(Pipeline): complete refactoring

* feat(CI): post results to PR

* fix(Pipeline): use the correct filename

* chore(Config): removed now redundant feature_selection flag

* feat(Models): added SVC

* fix(Pipeline): accidentally switched two return values

* feat(Sweep): prepared sweep_meta.yaml, moved report_results() into a separate file

* fix(Pipeline): wrong function name

* fix(Sweep): yaml + run_sweep

* fix(Sweep): typo in name

* fix(Reporting): only save averaged results

* feat(MetaLabeling): use optional meta-labeling step for every lvl1 models, before averaging

* feat(Reporting): print out sharpe improvement in meta-labeling step

* fix(Sweep): adjusted config, defaulted to good defaults

* fix(Sweep): adjusted sweep
2022-01-06 16:36:45 +01:00

44 lines
1.3 KiB
YAML

name: run-test
on: [push]
jobs:
run:
runs-on: [ubuntu-latest]
# optionally use a convenient Ubuntu LTS + CUDA + DVC + CML image
# container: docker://dvcorg/cml:0-dvc2-base1-gpu
# container: docker://ghcr.io/iterative/cml:0-dvc2-base1-gpu
steps:
- uses: actions/checkout@v2
- uses: conda-incubator/setup-miniconda@v2
with:
auto-update-conda: false
activate-environment: quant
environment-file: environment.yml
python-version: 3.9
- uses: iterative/setup-cml@v1
- name: Run pytest
shell: bash -l {0}
run: |
pytest --junit-xml pytest.xml
- name: Run pipeline
shell: bash -l {0}
run: |
python run_pipeline.py
- name: Upload Unit Test Results
if: always()
uses: actions/upload-artifact@v2
with:
name: Unit Test Results (Python ${{ matrix.python-version }})
path: pytest.xml
- name: Publish Unit Test Results
uses: EnricoMi/publish-unit-test-result-action@v1
if: always()
with:
files: pytest.xml
- name: Write CML report
env:
REPO_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: |
cat results_level2.csv >> report.md
cml-send-comment report.md