MultiClassSummarizer | 5 ms | Passed |

MultiClassSummarizer with weighted samples | 1 ms | Passed |

binary logistic regression with all labels the same | 1.3 sec | Passed |

binary logistic regression with intercept with ElasticNet regularization | 20 sec | Passed |

binary logistic regression with intercept with L1 regularization | 7.4 sec | Passed |

binary logistic regression with intercept with L2 regularization | 3.2 sec | Passed |

binary logistic regression with intercept with L2 regularization with bound | 2.8 sec | Passed |

binary logistic regression with intercept with strong L1 regularization | 1 sec | Passed |

binary logistic regression with intercept without regularization | 7.8 sec | Passed |

binary logistic regression with intercept without regularization with bound | 12 sec | Passed |

binary logistic regression without intercept with ElasticNet regularization | 11 sec | Passed |

binary logistic regression without intercept with L1 regularization | 5.8 sec | Passed |

binary logistic regression without intercept with L2 regularization | 2.7 sec | Passed |

binary logistic regression without intercept with L2 regularization with bound | 3.4 sec | Passed |

binary logistic regression without intercept without regularization | 3.3 sec | Passed |

binary logistic regression without intercept without regularization with bound | 2.1 sec | Passed |

binary logistic regression: Predictor, Classifier methods | 3.5 sec | Passed |

check summary types for binary and multiclass | 1.5 sec | Passed |

coefficients and intercept methods | 1.6 sec | Passed |

compressed coefficients | 5 sec | Passed |

compressed storage for constant label | 0.58 sec | Passed |

empty probabilityCol or predictionCol | 3.1 sec | Passed |

evaluate on test set | 4.5 sec | Passed |

evaluate with labels that are not doubles | 1.6 sec | Passed |

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

logistic regression doesn't fit intercept when fitIntercept is off | 2.8 sec | Passed |

logistic regression with sample weights | 20 sec | Passed |

logistic regression with setters | 5.2 sec | Passed |

logistic regression: default params | 6.2 sec | Passed |

logistic regression: illegal params | 5.3 sec | Passed |

multiclass logistic regression with all labels the same | 1.6 sec | Passed |

multinomial logistic regression with intercept with L1 regularization | 39 sec | Passed |

multinomial logistic regression with intercept with L2 regularization | 8.6 sec | Passed |

multinomial logistic regression with intercept with L2 regularization with bound | 5.7 sec | Passed |

multinomial logistic regression with intercept with elasticnet regularization | 40 sec | Passed |

multinomial logistic regression with intercept with strong L1 regularization | 1.5 sec | Passed |

multinomial logistic regression with intercept without regularization | 7.1 sec | Passed |

multinomial logistic regression with intercept without regularization with bound | 28 sec | Passed |

multinomial logistic regression with zero variance (SPARK-21681) | 1.1 sec | Passed |

multinomial logistic regression without intercept with L1 regularization | 15 sec | Passed |

multinomial logistic regression without intercept with L2 regularization | 4.8 sec | Passed |

multinomial logistic regression without intercept with L2 regularization with bound | 2.2 sec | Passed |

multinomial logistic regression without intercept with elasticnet regularization | 14 sec | Passed |

multinomial logistic regression without intercept without regularization | 4.4 sec | Passed |

multinomial logistic regression without intercept without regularization with bound | 5.7 sec | Passed |

multinomial logistic regression: Predictor, Classifier methods | 7.2 sec | Passed |

numClasses specified in metadata/inferred | 0.77 sec | Passed |

overflow prediction for multiclass | 0.51 sec | Passed |

params | 0.49 sec | Passed |

prediction on single instance | 5.3 sec | Passed |

read/write | 6.4 sec | Passed |

set family | 3.3 sec | Passed |

set initial model | 4.3 sec | Passed |

setThreshold, getThreshold | 44 ms | Passed |

should support all NumericType labels and weights, and not support other types | 2.4 sec | Passed |

sparse coefficients in LogisticAggregator | 17 ms | Passed |

statistics on training data | 1.3 sec | Passed |

string params should be case-insensitive | 2.6 sec | Passed |

thresholds prediction | 12 sec | Passed |

toString | 1 ms | Passed |