Test Result : LinearRegressionSuite

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

All Tests

Test nameDurationStatus
LinearRegression on blocks48 secPassed
export test data into CSV format0 msSkipped
huber loss model match squared error for large epsilon0.57 secPassed
linear regression (huber loss) with intercept with L2 regularization0.62 secPassed
linear regression (huber loss) with intercept without regularization1 secPassed
linear regression (huber loss) without intercept with L2 regularization0.52 secPassed
linear regression (huber loss) without intercept without regularization0.59 secPassed
linear regression handles singular matrices0.77 secPassed
linear regression model testset evaluation summary1.2 secPassed
linear regression model testset evaluation summary with weighted samples7.1 secPassed
linear regression model training summary2 secPassed
linear regression model training summary with weighted samples5.8 secPassed
linear regression model with constant label1.5 secPassed
linear regression model with l-bfgs with big feature datasets0.81 secPassed
linear regression summary with weighted samples and intercept by normal solver0.38 secPassed
linear regression summary with weighted samples and w/o intercept by normal solver0.21 secPassed
linear regression training summary totalIterations1.5 secPassed
linear regression with intercept with ElasticNet regularization2.6 secPassed
linear regression with intercept with L1 regularization2.5 secPassed
linear regression with intercept with L2 regularization2.4 secPassed
linear regression with intercept without regularization2.5 secPassed
linear regression with l-bfgs when training is not needed1.2 secPassed
linear regression with weighted samples17 secPassed
linear regression without intercept with ElasticNet regularization2.8 secPassed
linear regression without intercept with L1 regularization2.7 secPassed
linear regression without intercept with L2 regularization2.6 secPassed
linear regression without intercept without regularization3.1 secPassed
linear regression: can transform data with LinearRegressionModel0.31 secPassed
linear regression: default params0.4 secPassed
linear regression: illegal params4 msPassed
params1 msPassed
pmml export1.5 secPassed
prediction on single instance0.26 secPassed
read/write0.81 secPassed
regularized linear regression through origin with constant label0.38 secPassed
should support all NumericType labels and weights, and not support other types2.4 secPassed