Test Result : LinearRegressionSuite

0 failures (±0) , 1 skipped (±0)
32 tests (-1)
Took 3 min 43 sec.

All Tests

Test nameDurationStatus
export test data into CSV format-1 msSkipped
huber loss model match squared error for large epsilon2.9 secPassed
linear regression (huber loss) with intercept with L2 regularization2.7 secPassed
linear regression (huber loss) with intercept without regularization2.8 secPassed
linear regression (huber loss) without intercept with L2 regularization2.4 secPassed
linear regression (huber loss) without intercept without regularization2 secPassed
linear regression handles singular matrices3.5 secPassed
linear regression model testset evaluation summary4 secPassed
linear regression model training summary5.7 secPassed
linear regression model with constant label8.1 secPassed
linear regression model with l-bfgs with big feature datasets3.3 secPassed
linear regression summary with weighted samples and intercept by normal solver1.2 secPassed
linear regression summary with weighted samples and w/o intercept by normal solver0.67 secPassed
linear regression with intercept with ElasticNet regularization8 secPassed
linear regression with intercept with L1 regularization8.4 secPassed
linear regression with intercept with L2 regularization8.8 secPassed
linear regression with intercept without regularization7.8 secPassed
linear regression with l-bfgs when training is not needed4.4 secPassed
linear regression with weighted samples1 min 21 secPassed
linear regression without intercept with ElasticNet regularization10 secPassed
linear regression without intercept with L1 regularization8.5 secPassed
linear regression without intercept with L2 regularization9.8 secPassed
linear regression without intercept without regularization12 secPassed
linear regression: can transform data with LinearRegressionModel1 secPassed
linear regression: default params1.4 secPassed
linear regression: illegal params4 msPassed
params1 msPassed
pmml export0.85 secPassed
prediction on single instance1.1 secPassed
read/write5.1 secPassed
regularized linear regression through origin with constant label4.1 secPassed
should support all NumericType labels and weights, and not support other types9.4 secPassed