SPARK-16426 isotonic regression with duplicate features that produce NaNs | 76 ms | Passed |

antitonic regression prediction | 0.1 sec | Passed |

antitonic regression prediction with duplicate features | 91 ms | Passed |

increasing isotonic regression | 0.14 sec | Passed |

isotonic regression RDD prediction | 0.1 sec | Passed |

isotonic regression prediction | 66 ms | Passed |

isotonic regression prediction with duplicate features | 55 ms | Passed |

isotonic regression strictly decreasing sequence | 71 ms | Passed |

isotonic regression strictly increasing sequence | 62 ms | Passed |

isotonic regression with first element violating monotonicity | 71 ms | Passed |

isotonic regression with last element violating monotonicity | 71 ms | Passed |

isotonic regression with negative labels | 55 ms | Passed |

isotonic regression with size 0 | 57 ms | Passed |

isotonic regression with size 1 | 78 ms | Passed |

isotonic regression with unordered input | 56 ms | Passed |

model construction | 3 ms | Passed |

model save/load | 0.66 sec | Passed |

weighted isotonic regression | 48 ms | Passed |

weighted isotonic regression with negative weights | 54 ms | Passed |

weighted isotonic regression with weights lower than 1 | 64 ms | Passed |

weighted isotonic regression with zero weights | 46 ms | Passed |