SPARK-16426 isotonic regression with duplicate features that produce NaNs | 51 ms | Passed |

antitonic regression prediction | 44 ms | Passed |

antitonic regression prediction with duplicate features | 49 ms | Passed |

increasing isotonic regression | 63 ms | Passed |

isotonic regression RDD prediction | 70 ms | Passed |

isotonic regression prediction | 50 ms | Passed |

isotonic regression prediction with duplicate features | 52 ms | Passed |

isotonic regression strictly decreasing sequence | 46 ms | Passed |

isotonic regression strictly increasing sequence | 48 ms | Passed |

isotonic regression with first element violating monotonicity | 43 ms | Passed |

isotonic regression with last element violating monotonicity | 49 ms | Passed |

isotonic regression with negative labels | 44 ms | Passed |

isotonic regression with size 0 | 50 ms | Passed |

isotonic regression with size 1 | 48 ms | Passed |

isotonic regression with unordered input | 45 ms | Passed |

model construction | 3 ms | Passed |

model save/load | 0.52 sec | Passed |

weighted isotonic regression | 53 ms | Passed |

weighted isotonic regression with negative weights | 63 ms | Passed |

weighted isotonic regression with weights lower than 1 | 53 ms | Passed |

weighted isotonic regression with zero weights | 53 ms | Passed |