File: __init__.py

package info (click to toggle)
scikit-learn 0.11.0-2%2Bdeb7u1
  • links: PTS, VCS
  • area: main
  • in suites: wheezy
  • size: 13,900 kB
  • sloc: python: 34,740; ansic: 8,860; cpp: 8,849; pascal: 230; makefile: 211; sh: 14
file content (22 lines) | stat: -rw-r--r-- 988 bytes parent folder | download
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
"""
The :mod:`sklearn.metrics` module includes score functions, performance metrics
and pairwise metrics and distance computations.
"""

from .metrics import confusion_matrix, roc_curve, auc, precision_score, \
                recall_score, fbeta_score, f1_score, zero_one_score, \
                precision_recall_fscore_support, classification_report, \
                precision_recall_curve, explained_variance_score, r2_score, \
                zero_one, mean_square_error, hinge_loss, matthews_corrcoef, \
                mean_squared_error

from . import cluster
from .cluster import adjusted_rand_score
from .cluster import homogeneity_completeness_v_measure
from .cluster import homogeneity_score
from .cluster import completeness_score
from .cluster import v_measure_score
from .cluster import silhouette_score
from .cluster import mutual_info_score
from .cluster import adjusted_mutual_info_score
from .pairwise import euclidean_distances, pairwise_distances, pairwise_kernels