SPARK-16426 isotonic regression with duplicate features that produce NaNs | 62 ms | Passed |

antitonic regression prediction | 46 ms | Passed |

antitonic regression prediction with duplicate features | 43 ms | Passed |

increasing isotonic regression | 58 ms | Passed |

isotonic regression RDD prediction | 68 ms | Passed |

isotonic regression prediction | 46 ms | Passed |

isotonic regression prediction with duplicate features | 40 ms | Passed |

isotonic regression strictly decreasing sequence | 42 ms | Passed |

isotonic regression strictly increasing sequence | 43 ms | Passed |

isotonic regression with first element violating monotonicity | 40 ms | Passed |

isotonic regression with last element violating monotonicity | 40 ms | Passed |

isotonic regression with negative labels | 40 ms | Passed |

isotonic regression with size 0 | 34 ms | Passed |

isotonic regression with size 1 | 37 ms | Passed |

isotonic regression with unordered input | 51 ms | Passed |

model construction | 2 ms | Passed |

model save/load | 0.32 sec | Passed |

weighted isotonic regression | 42 ms | Passed |

weighted isotonic regression with negative weights | 47 ms | Passed |

weighted isotonic regression with weights lower than 1 | 45 ms | Passed |

weighted isotonic regression with zero weights | 50 ms | Passed |