Test Result : LinearRegressionSuite

0 failures (±0) , 1 skipped (±0)
32 tests (±0)
Took 2 min 44 sec.

All Tests

Test nameDurationStatus
export test data into CSV format-1 msSkipped
huber loss model match squared error for large epsilon0.95 secPassed
linear regression (huber loss) with intercept with L2 regularization1 secPassed
linear regression (huber loss) with intercept without regularization1.6 secPassed
linear regression (huber loss) without intercept with L2 regularization0.89 secPassed
linear regression (huber loss) without intercept without regularization0.95 secPassed
linear regression handles singular matrices1.9 secPassed
linear regression model testset evaluation summary1.8 secPassed
linear regression model training summary3.4 secPassed
linear regression model with constant label16 secPassed
linear regression model with l-bfgs with big feature datasets1 secPassed
linear regression summary with weighted samples and intercept by normal solver1 secPassed
linear regression summary with weighted samples and w/o intercept by normal solver0.39 secPassed
linear regression with intercept with ElasticNet regularization6.9 secPassed
linear regression with intercept with L1 regularization3.5 secPassed
linear regression with intercept with L2 regularization3.7 secPassed
linear regression with intercept without regularization3.8 secPassed
linear regression with l-bfgs when training is not needed4 secPassed
linear regression with weighted samples1 min 12 secPassed
linear regression without intercept with ElasticNet regularization3.8 secPassed
linear regression without intercept with L1 regularization9.2 secPassed
linear regression without intercept with L2 regularization3.6 secPassed
linear regression without intercept without regularization5.1 secPassed
linear regression: can transform data with LinearRegressionModel0.54 secPassed
linear regression: default params1.2 secPassed
linear regression: illegal params3 msPassed
params24 msPassed
pmml export7 secPassed
prediction on single instance0.4 secPassed
read/write1.6 secPassed
regularized linear regression through origin with constant label0.77 secPassed
should support all NumericType labels and weights, and not support other types4.6 secPassed