pyodide/packages/scikit-learn/meta.yaml

60 lines
1.3 KiB
YAML

package:
name: scikit-learn
version: 0.20.1
source:
url: https://github.com/scikit-learn/scikit-learn/archive/0.20.1.tar.gz
sha256: 618feea121c59a52ea459d6af7bc179344ca345775b04bd60e96740e9df75960
patches:
- patches/use-site-joblib.patch
build:
cflags: -Wno-implicit-function-declaration
requirements:
run:
- numpy
- scipy
- joblib
test:
imports:
- sklearn
- sklearn.calibration
- sklearn.cluster
- sklearn.compose
- sklearn.covariance
- sklearn.cross_decomposition
- sklearn.datasets
- sklearn.decomposition
- sklearn.discriminant_analysis
- sklearn.dummy
- sklearn.ensemble
- sklearn.exceptions
- sklearn.externals
- sklearn.feature_extraction
- sklearn.feature_selection
- sklearn.gaussian_process
- sklearn.impute
- sklearn.isotonic
- sklearn.kernel_approximation
- sklearn.kernel_ridge
- sklearn.linear_model
- sklearn.manifold
- sklearn.metrics
- sklearn.mixture
- sklearn.model_selection
- sklearn.multiclass
- sklearn.multioutput
- sklearn.naive_bayes
- sklearn.neighbors
- sklearn.neural_network
- sklearn.pipeline
- sklearn.preprocessing
- sklearn.random_projection
- sklearn.semi_supervised
- sklearn.svm
- sklearn.tree
- sklearn.utils