/
anaconda-project.yml
58 lines (52 loc) · 1.03 KB
/
anaconda-project.yml
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# To reproduce: install 'anaconda-project', then 'anaconda-project run'
name: landuse_classification
description: Image classification using the UC Merced Land Use Dataset
examples_config:
maintainers:
- jbednar
labels:
- datashader
- geoviews
user_fields: [examples_config]
channels: [defaults]
packages: &pkgs
- python=3.7
- notebook
- cartopy
- ipython
- holoviews
- python-snappy
- intake
- intake-xarray
- dask
- s3fs
- pandas=1.2.5
- distributed
- tbb
- proj4
- scikit-image
- keras
- tqdm
dependencies: *pkgs
commands:
notebook:
notebook: Image_Classification.ipynb
test:
unix: pytest --nbsmoke-run -k *.ipynb --ignore envs
windows: pytest --nbsmoke-run -k *.ipynb --ignore envs
env_spec: test
lint:
unix: pytest --nbsmoke-lint -k *.ipynb --ignore envs
windows: pytest --nbsmoke-lint -k *.ipynb --ignore envs
env_spec: test
env_specs:
default: {}
test:
packages: &testpkgs
- nbsmoke ==0.2.8
- pytest ==4.4.1
dependencies: *testpkgs
platforms:
- linux-64
- osx-64
- win-64