LinearRegression on blocks | 43 sec | Passed |

export test data into CSV format | -1 ms | Skipped |

huber loss model match squared error for large epsilon | 0.93 sec | Passed |

linear regression (huber loss) with intercept with L2 regularization | 0.93 sec | Passed |

linear regression (huber loss) with intercept without regularization | 1.6 sec | Passed |

linear regression (huber loss) without intercept with L2 regularization | 0.82 sec | Passed |

linear regression (huber loss) without intercept without regularization | 0.95 sec | Passed |

linear regression handles singular matrices | 2.2 sec | Passed |

linear regression model testset evaluation summary | 1.8 sec | Passed |

linear regression model testset evaluation summary with weighted samples | 11 sec | Passed |

linear regression model training summary | 2.7 sec | Passed |

linear regression model training summary with weighted samples | 8.7 sec | Passed |

linear regression model with constant label | 2.9 sec | Passed |

linear regression model with l-bfgs with big feature datasets | 1 sec | Passed |

linear regression summary with weighted samples and intercept by normal solver | 0.62 sec | Passed |

linear regression summary with weighted samples and w/o intercept by normal solver | 0.33 sec | Passed |

linear regression training summary totalIterations | 2.2 sec | Passed |

linear regression with intercept with ElasticNet regularization | 3.6 sec | Passed |

linear regression with intercept with L1 regularization | 3.3 sec | Passed |

linear regression with intercept with L2 regularization | 3.5 sec | Passed |

linear regression with intercept without regularization | 3.4 sec | Passed |

linear regression with l-bfgs when training is not needed | 2.3 sec | Passed |

linear regression with weighted samples | 32 sec | Passed |

linear regression without intercept with ElasticNet regularization | 3.6 sec | Passed |

linear regression without intercept with L1 regularization | 4.1 sec | Passed |

linear regression without intercept with L2 regularization | 3.5 sec | Passed |

linear regression without intercept without regularization | 5.4 sec | Passed |

linear regression: can transform data with LinearRegressionModel | 0.44 sec | Passed |

linear regression: default params | 0.57 sec | Passed |

linear regression: illegal params | 4 ms | Passed |

params | 1 ms | Passed |

pmml export | 1.5 sec | Passed |

prediction on single instance | 0.39 sec | Passed |

read/write | 1.2 sec | Passed |

regularized linear regression through origin with constant label | 0.7 sec | Passed |

should support all NumericType labels and weights, and not support other types | 4.1 sec | Passed |