Test Result : LinearRegressionSuite

0 failures (±0) , 1 skipped (±0)
32 tests (±0)
Took 4 min 7 sec.

All Tests

Test nameDurationStatus
export test data into CSV format-1 msSkipped
huber loss model match squared error for large epsilon1.8 secPassed
linear regression (huber loss) with intercept with L2 regularization3.3 secPassed
linear regression (huber loss) with intercept without regularization4.2 secPassed
linear regression (huber loss) without intercept with L2 regularization2.1 secPassed
linear regression (huber loss) without intercept without regularization5.3 secPassed
linear regression handles singular matrices9.5 secPassed
linear regression model testset evaluation summary4.3 secPassed
linear regression model training summary7.7 secPassed
linear regression model with constant label7 secPassed
linear regression model with l-bfgs with big feature datasets1.6 secPassed
linear regression summary with weighted samples and intercept by normal solver1.5 secPassed
linear regression summary with weighted samples and w/o intercept by normal solver0.68 secPassed
linear regression with intercept with ElasticNet regularization7.8 secPassed
linear regression with intercept with L1 regularization7.9 secPassed
linear regression with intercept with L2 regularization12 secPassed
linear regression with intercept without regularization10 secPassed
linear regression with l-bfgs when training is not needed8.6 secPassed
linear regression with weighted samples1 min 23 secPassed
linear regression without intercept with ElasticNet regularization8.8 secPassed
linear regression without intercept with L1 regularization14 secPassed
linear regression without intercept with L2 regularization7.7 secPassed
linear regression without intercept without regularization9.1 secPassed
linear regression: can transform data with LinearRegressionModel1.5 secPassed
linear regression: default params1.4 secPassed
linear regression: illegal params6 msPassed
params1 msPassed
pmml export1.3 secPassed
prediction on single instance1.2 secPassed
read/write3.9 secPassed
regularized linear regression through origin with constant label2.7 secPassed
should support all NumericType labels and weights, and not support other types13 secPassed