sklearn-matlab-master
lib
ensemble
GradientBoostingRegressor.m
2KB
neighbors
KNeighborsClassifier.m
854B
cross_validation
train_test_split.m
445B
metrics
r2_score.m
1KB
accuracy_score.m
1KB
mean_squared_error.m
569B
pairwise
pairwise_kernels.m
2KB
euclidean_distances.m
529B
polynomial_kernel.m
1KB
linear_kernel.m
252B
rbf_kernel.m
729B
kernel_approximation
Nystroem.m
3KB
pipeline
make_pipeline.m
459B
Pipeline.m
2KB
linear_model
LinearRegression.m
950B
Ridge.m
861B
LogisticRegression.m
1KB
log_cost_function_reg.m
890B
Lasso_.m
990B
cluster
KMeans_.m
2KB
base
TransformerMixin.m
445B
RegressorMixin.m
1KB
BaseEstimator.m
1KB
ClassifierMixin.m
206B
kernel_ridge
KernelRidge.m
3KB
decomposition
PCA_.m
876B
svm
SVC.m
1KB
preprocessing
StandardScaler.m
2KB
MinMaxScaler.m
2KB
FunctionTransformer.m
886B
LabelBinarizer.m
2KB
LICENSE
3KB
demo
demo_k_neighbors_classifier.m
429B
data
sklearn_data_2clusters.m
471B
sklearn_data_noisyplane.m
539B
sklearn_data_3clusters.m
583B
demo_svc.m
803B
demo_ridge_regression.m
608B
demo_label_binarizer.m
458B
demo_kernel_ridge_regression.m
1KB
demo_pca.m
328B
run_all_demos.m
664B
demo_kmeans.m
399B
demo_logistic_regression.m
597B
demo_nystroem_ridge_regression.m
1KB
.gitignore
205B
install.m
324B
README.md
74B
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