MultiClassSummarizer | 3 ms | Passed |

MultiClassSummarizer with weighted samples | 1 ms | Passed |

binary logistic regression with all labels the same | 0.65 sec | Passed |

binary logistic regression with intercept with ElasticNet regularization | 16 sec | Passed |

binary logistic regression with intercept with L1 regularization | 5.3 sec | Passed |

binary logistic regression with intercept with L2 regularization | 2.1 sec | Passed |

binary logistic regression with intercept with L2 regularization with bound | 1.7 sec | Passed |

binary logistic regression with intercept with strong L1 regularization | 0.73 sec | Passed |

binary logistic regression with intercept without regularization | 3.1 sec | Passed |

binary logistic regression with intercept without regularization with bound | 7.2 sec | Passed |

binary logistic regression without intercept with ElasticNet regularization | 6.3 sec | Passed |

binary logistic regression without intercept with L1 regularization | 3.8 sec | Passed |

binary logistic regression without intercept with L2 regularization | 1.3 sec | Passed |

binary logistic regression without intercept with L2 regularization with bound | 1.2 sec | Passed |

binary logistic regression without intercept without regularization | 2.5 sec | Passed |

binary logistic regression without intercept without regularization with bound | 1.5 sec | Passed |

binary logistic regression: Predictor, Classifier methods | 3.2 sec | Passed |

check summary types for binary and multiclass | 0.89 sec | Passed |

coefficients and intercept methods | 0.51 sec | Passed |

compressed coefficients | 2.3 sec | Passed |

compressed storage for constant label | 0.28 sec | Passed |

empty probabilityCol or predictionCol | 1.7 sec | Passed |

evaluate on test set | 1.7 sec | Passed |

evaluate with labels that are not doubles | 0.76 sec | Passed |

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

logistic regression doesn't fit intercept when fitIntercept is off | 1.3 sec | Passed |

logistic regression with sample weights | 11 sec | Passed |

logistic regression with setters | 1.6 sec | Passed |

logistic regression: default params | 4.2 sec | Passed |

logistic regression: illegal params | 4.2 sec | Passed |

multiclass logistic regression with all labels the same | 0.98 sec | Passed |

multinomial logistic regression with intercept with L1 regularization | 25 sec | Passed |

multinomial logistic regression with intercept with L2 regularization | 6.2 sec | Passed |

multinomial logistic regression with intercept with L2 regularization with bound | 4 sec | Passed |

multinomial logistic regression with intercept with elasticnet regularization | 29 sec | Passed |

multinomial logistic regression with intercept with strong L1 regularization | 0.91 sec | Passed |

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

multinomial logistic regression with intercept without regularization with bound | 19 sec | Passed |

multinomial logistic regression with zero variance (SPARK-21681) | 0.9 sec | Passed |

multinomial logistic regression without intercept with L1 regularization | 12 sec | Passed |

multinomial logistic regression without intercept with L2 regularization | 3.4 sec | Passed |

multinomial logistic regression without intercept with L2 regularization with bound | 1.8 sec | Passed |

multinomial logistic regression without intercept with elasticnet regularization | 10 sec | Passed |

multinomial logistic regression without intercept without regularization | 3.4 sec | Passed |

multinomial logistic regression without intercept without regularization with bound | 3.9 sec | Passed |

multinomial logistic regression: Predictor, Classifier methods | 6.8 sec | Passed |

numClasses specified in metadata/inferred | 0.42 sec | Passed |

overflow prediction for multiclass | 0.24 sec | Passed |

params | 0.17 sec | Passed |

prediction on single instance | 2.2 sec | Passed |

read/write | 4.1 sec | Passed |

set family | 1.8 sec | Passed |

set initial model | 2.6 sec | Passed |

setThreshold, getThreshold | 13 ms | Passed |

should support all NumericType labels and weights, and not support other types | 1.2 sec | Passed |

sparse coefficients in LogisticAggregator | 13 ms | Passed |

statistics on training data | 0.64 sec | Passed |

string params should be case-insensitive | 1.6 sec | Passed |

thresholds prediction | 5.9 sec | Passed |

toString | 1 ms | Passed |